【NLP】 2015-2020 Knowledge Distillation 知识蒸馏相关论文整理

发表于 2020-12-09 更新于 2020-12-18 分类于 AC论文 ， NLP 110k 3:04

目录

1. Towards Cross-Modality Medical Image Segmentation with Online Mutual Knowledge Distillation, AAAI 2020 [PDF] 摘要

2. DeGAN: Data-Enriching GAN for Retrieving Representative Samples from a Trained Classifier, AAAI 2020 [PDF] 摘要

3. Few Shot Network Compression via Cross Distillation, AAAI 2020 [PDF] 摘要

4. Scalable Attentive Sentence Pair Modeling via Distilled Sentence Embedding, AAAI 2020 [PDF] 摘要

5. Online Knowledge Distillation with Diverse Peers, AAAI 2020 [PDF] 摘要

6. Distilling Portable Generative Adversarial Networks for Image Translation, AAAI 2020 [PDF] 摘要

7. Adversarially Robust Distillation, AAAI 2020 [PDF] 摘要

8. Towards Oracle Knowledge Distillation with Neural Architecture Search, AAAI 2020 [PDF] 摘要

9. Improved Knowledge Distillation via Teacher Assistant, AAAI 2020 [PDF] 摘要

10. Light Multi-Segment Activation for Model Compression, AAAI 2020 [PDF] 摘要

11. Hearing Lips: Improving Lip Reading by Distilling Speech Recognizers, AAAI 2020 [PDF] 摘要

12. Knowledge Distillation from Internal Representations, AAAI 2020 [PDF] 摘要

13. Go From the General to the Particular: Multi-Domain Translation with Domain Transformation Networks, AAAI 2020 [PDF] 摘要

14. Acquiring Knowledge from Pre-Trained Model to Neural Machine Translation, AAAI 2020 [PDF] 摘要

15. Distilling Knowledge from Well-Informed Soft Labels for Neural Relation Extraction, AAAI 2020 [PDF] 摘要

16. Ultrafast Video Attention Prediction with Coupled Knowledge Distillation, AAAI 2020 [PDF] 摘要

17. Look One and More: Distilling Hybrid Order Relational Knowledge for Cross-Resolution Image Recognition, AAAI 2020 [PDF] 摘要

18. Uncertainty-Aware Multi-Shot Knowledge Distillation for Image-Based Object Re-Identification, AAAI 2020 [PDF] 摘要

19. Hierarchical Knowledge Squeezed Adversarial Network Compression, AAAI 2020 [PDF] 摘要

20. Exploit and Replace: An Asymmetrical Two-Stream Architecture for Versatile Light Field Saliency Detection, AAAI 2020 [PDF] 摘要

21. An Efficient Framework for Dense Video Captioning, AAAI 2020 [PDF] 摘要

22. A Study of Non-autoregressive Model for Sequence Generation, ACL 2020 [PDF] 摘要

23. Improving Non-autoregressive Neural Machine Translation with Monolingual Data, ACL 2020 [PDF] 摘要

24. XtremeDistil: Multi-stage Distillation for Massive Multilingual Models, ACL 2020 [PDF] 摘要

25. Structure-Level Knowledge Distillation For Multilingual Sequence Labeling, ACL 2020 [PDF] 摘要

26. Knowledge Distillation for Multilingual Unsupervised Neural Machine Translation, ACL 2020 [PDF] 摘要

27. SimulSpeech: End-to-End Simultaneous Speech to Text Translation, ACL 2020 [PDF] 摘要

28. Improving Event Detection via Open-domain Trigger Knowledge, ACL 2020 [PDF] 摘要

29. TextBrewer: An Open-Source Knowledge Distillation Toolkit for Natural Language Processing, ACL 2020 [PDF] 摘要

30. The Microsoft Toolkit of Multi-Task Deep Neural Networks for Natural Language Understanding, ACL 2020 [PDF] 摘要

31. Improving Autoregressive NMT with Non-Autoregressive Model, ACL 2020 [PDF] 摘要

32. End-to-End Speech-Translation with Knowledge Distillation: FBK@IWSLT2020, ACL 2020 [PDF] 摘要

33. CASIA’s System for IWSLT 2020 Open Domain Translation, ACL 2020 [PDF] 摘要

34. Xiaomi’s Submissions for IWSLT 2020 Open Domain Translation Task, ACL 2020 [PDF] 摘要

35. Balancing Cost and Benefit with Tied-Multi Transformers, ACL 2020 [PDF] 摘要

36. Distill, Adapt, Distill: Training Small, In-Domain Models for Neural Machine Translation, ACL 2020 [PDF] 摘要

37. The NiuTrans System for WNGT 2020 Efficiency Task, ACL 2020 [PDF] 摘要

38. Exploring the Limits of Simple Learners in Knowledge Distillation for Document Classification with DocBERT, ACL 2020 [PDF] 摘要

39. Making Monolingual Sentence Embeddings Multilingual Using Knowledge Distillation, EMNLP 2020 [PDF] 摘要

40. Adversarial Self-Supervised Data Free Distillation for Text Classification, EMNLP 2020 [PDF] 摘要

41. Language Model Prior for Low-Resource Neural Machine Translation, EMNLP 2020 [PDF] 摘要

42. Lifelong Language Knowledge Distillation, EMNLP 2020 [PDF] 摘要

43. BERT-of-Theseus: Compressing BERT by Progressive Module Replacing, EMNLP 2020 [PDF] 摘要

44. Bridging the Gap between Prior and Posterior Knowledge Selection for Knowledge-Grounded Dialogue Generation, EMNLP 2020 [PDF] 摘要

45. Autoregressive Knowledge Distillation through Imitation Learning, EMNLP 2020 [PDF] 摘要

46. TernaryBERT: Distillation-aware Ultra-low Bit BERT, EMNLP 2020 [PDF] 摘要

47. Improving Neural Topic Models Using Knowledge Distillation, EMNLP 2020 [PDF] 摘要

48. FedED: Federated Learning via Ensemble Distillation for Medical Relation Extraction, EMNLP 2020 [PDF] 摘要

49. Scalable Zero-shot Entity Linking with Dense Entity Retrieval, EMNLP 2020 [PDF] 摘要

50. Contrastive Distillation on Intermediate Representations for Language Model Compression, EMNLP 2020 [PDF] 摘要

51. Distilling Structured Knowledge for Text-Based Relational Reasoning, EMNLP 2020 [PDF] 摘要

52. Why Skip If You Can Combine: A Simple Knowledge Distillation Technique for Intermediate Layers, EMNLP 2020 [PDF] 摘要

53. Mimic and Conquer: Heterogeneous Tree Structure Distillation for Syntactic NLP, EMNLP 2020 [PDF] 摘要

54. Using the Past Knowledge to Improve Sentiment Classification, EMNLP 2020 [PDF] 摘要

55. Fast End-to-end Coreference Resolution for Korean, EMNLP 2020 [PDF] 摘要

56. Improving Word Embedding Factorization for Compression using Distilled Nonlinear Neural Decomposition, EMNLP 2020 [PDF] 摘要

57. DiPair: Fast and Accurate Distillation for Trillion-ScaleText Matching and Pair Modeling, EMNLP 2020 [PDF] 摘要

58. General Purpose Text Embeddings from Pre-trained Language Models for Scalable Inference, EMNLP 2020 [PDF] 摘要

59. Efficient Transformer-based Large Scale Language Representations using Hardware-friendly Block Structured Pruning, EMNLP 2020 [PDF] 摘要

60. TinyBERT: Distilling BERT for Natural Language Understanding, EMNLP 2020 [PDF] 摘要

61. Knowledge Consistency between Neural Networks and Beyond, ICLR 2020 [PDF] 摘要

62. Understanding Knowledge Distillation in Non-autoregressive Machine Translation, ICLR 2020 [PDF] 摘要

63. Contrastive Representation Distillation, ICLR 2020 [PDF] 摘要

64. Neural Epitome Search for Architecture-Agnostic Network Compression, ICLR 2020 [PDF] 摘要

65. Lifelong Zero-Shot Learning, IJCAI 2020 [PDF] 摘要

66. AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search, IJCAI 2020 [PDF] 摘要

67. Dual Policy Distillation, IJCAI 2020 [PDF] 摘要

68. P-KDGAN: Progressive Knowledge Distillation with GANs for One-class Novelty Detection, IJCAI 2020 [PDF] 摘要

69. An Iterative Multi-Source Mutual Knowledge Transfer Framework for Machine Reading Comprehension, IJCAI 2020 [PDF] 摘要

70. UniTrans : Unifying Model Transfer and Data Transfer for Cross-Lingual Named Entity Recognition with Unlabeled Data, IJCAI 2020 [PDF] 摘要

71. Private Model Compression via Knowledge Distillation, AAAI 2019 [PDF] 摘要

72. Knowledge Distillation with Adversarial Samples Supporting Decision Boundary, AAAI 2019 [PDF] 摘要

73. Data-Distortion Guided Self-Distillation for Deep Neural Networks, AAAI 2019 [PDF] 摘要

74. Exploiting the Ground-Truth: An Adversarial Imitation Based Knowledge Distillation Approach for Event Detection, AAAI 2019 [PDF] 摘要

75. Scalable Syntax-Aware Language Models Using Knowledge Distillation, ACL 2019 [PDF] 摘要

76. BAM! Born-Again Multi-Task Networks for Natural Language Understanding, ACL 2019 [PDF] 摘要

77. PANLP at MEDIQA 2019: Pre-trained Language Models, Transfer Learning and Knowledge Distillation, ACL 2019 [PDF] 摘要

78. GTCOM Neural Machine Translation Systems for WMT19, ACL 2019 [PDF] 摘要

79. The NiuTrans Machine Translation Systems for WMT19, ACL 2019 [PDF] 摘要

80. Baidu Neural Machine Translation Systems for WMT19, ACL 2019 [PDF] 摘要

81. Microsoft Research Asia’s Systems for WMT19, ACL 2019 [PDF] 摘要

82. Iterative Dual Domain Adaptation for Neural Machine Translation, EMNLP 2019 [PDF] 摘要

83. Patient Knowledge Distillation for BERT Model Compression, EMNLP 2019 [PDF] 摘要

84. Weakly Supervised Cross-lingual Semantic Relation Classification via Knowledge Distillation, EMNLP 2019 [PDF] 摘要

85. Generation-Distillation for Efficient Natural Language Understanding in Low-Data Settings, EMNLP 2019 [PDF] 摘要

86. Natural Language Generation for Effective Knowledge Distillation, EMNLP 2019 [PDF] 摘要

87. Multilingual Neural Machine Translation with Knowledge Distillation, ICLR 2019 [PDF] 摘要

88. A Closer Look at Deep Learning Heuristics: Learning rate restarts, Warmup and Distillation, ICLR 2019 [PDF] 摘要

89. Zero-Shot Knowledge Distillation in Deep Networks, ICML 2019 [PDF] 摘要

90. Towards Understanding Knowledge Distillation, ICML 2019 [PDF] 摘要

91. Pedestrian Attribute Recognition by Joint Visual-semantic Reasoning and Knowledge Distillation, IJCAI 2019 [PDF] 摘要

92. RDPD: Rich Data Helps Poor Data via Imitation, IJCAI 2019 [PDF] 摘要

93. Online Distilling from Checkpoints for Neural Machine Translation, NAACL 2019 [PDF] 摘要

94. On Knowledge distillation from complex networks for response prediction, NAACL 2019 [PDF] 摘要

95. Network Pruning via Transformable Architecture Search, NeurIPS 2019 [PDF] 摘要

96. Channel Gating Neural Networks, NeurIPS 2019 [PDF] 摘要

97. Positive-Unlabeled Compression on the Cloud, NeurIPS 2019 [PDF] 摘要

98. Knowledge Extraction with No Observable Data, NeurIPS 2019 [PDF] 摘要

99. SCAN: A Scalable Neural Networks Framework Towards Compact and Efficient Models, NeurIPS 2019 [PDF] 摘要

100. When does label smoothing help?, NeurIPS 2019 [PDF] 摘要

101. Random Path Selection for Continual Learning, NeurIPS 2019 [PDF] 摘要

102. Approximating Interactive Human Evaluation with Self-Play for Open-Domain Dialog Systems, NeurIPS 2019 [PDF] 摘要

103. Wasserstein Distance Guided Representation Learning for Domain Adaptation, AAAI 2018 [PDF] 摘要

104. Cooperative Denoising for Distantly Supervised Relation Extraction, COLING 2018 [PDF] 摘要

105. One-Shot Relational Learning for Knowledge Graphs, EMNLP 2018 [PDF] 摘要

106. Attention-Guided Answer Distillation for Machine Reading Comprehension, EMNLP 2018 [PDF] 摘要

107. Apprentice: Using Knowledge Distillation Techniques To Improve Low-Precision Network Accuracy, ICLR 2018 [PDF] 摘要

108. Non-Autoregressive Neural Machine Translation, ICLR 2018 [PDF] 摘要

109. Born-Again Neural Networks, ICML 2018 [PDF] 摘要

110. StrassenNets: Deep Learning with a Multiplication Budget, ICML 2018 [PDF] 摘要

111. Progressive Blockwise Knowledge Distillation for Neural Network Acceleration, IJCAI 2018 [PDF] 摘要

112. KDGAN: Knowledge Distillation with Generative Adversarial Networks, NeurIPS 2018 [PDF] 摘要

113. Collaborative Learning for Deep Neural Networks, NeurIPS 2018 [PDF] 摘要

114. Knowledge Distillation by On-the-Fly Native Ensemble, NeurIPS 2018 [PDF] 摘要

115. Learning to Specialize with Knowledge Distillation for Visual Question Answering, NeurIPS 2018 [PDF] 摘要

116. WebChild 2.0 : Fine-Grained Commonsense Knowledge Distillation, ACL 2017 [PDF] 摘要

117. A Joint Sequential and Relational Model for Frame-Semantic Parsing, EMNLP 2017 [PDF] 摘要

118. Knowledge Distillation for Bilingual Dictionary Induction, EMNLP 2017 [PDF] 摘要

119. Learning Efficient Object Detection Models with Knowledge Distillation, NeurIPS 2017 [PDF] 摘要

120. Sequence-Level Knowledge Distillation, EMNLP 2016 [PDF] 摘要

121. FitNets: Hints for Thin Deep Nets, ICLR 2015 [PDF] 摘要

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【NLP】 2016-2020 Deep Transition 相关论文整理

发表于 2020-12-09 更新于 2020-12-18 分类于 AC论文 ， NLP 10k 17 分钟

目录

1. Integrating Graph-Based and Transition-Based Dependency Parsers in the Deep Contextualized Era, ACL 2020 [PDF] 摘要

2. DTMT: A Novel Deep Transition Architecture for Neural Machine Translation, AAAI 2019 [PDF] 摘要

3. GCDT: A Global Context Enhanced Deep Transition Architecture for Sequence Labeling, ACL 2019 [PDF] 摘要

4. Deep Contextualized Word Embeddings in Transition-Based and Graph-Based Dependency Parsing - A Tale of Two Parsers Revisited, EMNLP 2019 [PDF] 摘要

5. A Novel Aspect-Guided Deep Transition Model for Aspect Based Sentiment Analysis, EMNLP 2019 [PDF] 摘要

6. On Random Deep Weight-Tied Autoencoders: Exact Asymptotic Analysis, Phase Transitions, and Implications to Training, ICLR 2019 [PDF] 摘要

7. DeepCx: A transition-based approach for shallow semantic parsing with complex constructional triggers, EMNLP 2018 [PDF] 摘要

8. Nonlinear Hybrid Planning with Deep Net Learned Transition Models and Mixed-Integer Linear Programming, IJCAI 2017 [PDF] 摘要

9. Transition-Based Parsing for Deep Dependency Structures, CL 2016 [PDF] 摘要

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【NLP】 2014-2020 Low-resource Translation 低资源翻译相关论文整理

发表于 2020-12-09 更新于 2020-12-18 分类于 AC论文 ， NLP 41k 1:08

目录

1. MetaMT, a Meta Learning Method Leveraging Multiple Domain Data for Low Resource Machine Translation, AAAI 2020 [PDF] 摘要

2. Neural Semantic Parsing in Low-Resource Settings with Back-Translation and Meta-Learning, AAAI 2020 [PDF] 摘要

3. Efficient Neural Machine Translation for Low-Resource Languages via Exploiting Related Languages, ACL 2020 [PDF] 摘要

4. A Translation-Based Approach to Morphology Learning for Low Resource Languages, ACL 2020 [PDF] 摘要

5. Language Model Prior for Low-Resource Neural Machine Translation, EMNLP 2020 [PDF] 摘要

6. Not Low-Resource Anymore: Aligner Ensembling, Batch Filtering, and New Datasets for Bengali-English Machine Translation, EMNLP 2020 [PDF] 摘要

7. Simulated Multiple Reference Training Improves Low-Resource Machine Translation, EMNLP 2020 [PDF] 摘要

8. Participatory Research for Low-resourced Machine Translation: A Case Study in African Languages, EMNLP 2020 [PDF] 摘要

9. Revisiting Low-Resource Neural Machine Translation: A Case Study, ACL 2019 [PDF] 摘要

10. Generalized Data Augmentation for Low-Resource Translation, ACL 2019 [PDF] 摘要

11. Incremental Domain Adaptation for Neural Machine Translation in Low-Resource Settings, ACL 2019 [PDF] 摘要

12. The TALP-UPC Machine Translation Systems for WMT19 News Translation Task: Pivoting Techniques for Low Resource MT, ACL 2019 [PDF] 摘要

13. Neural Machine Translation of Low-Resource and Similar Languages with Backtranslation, ACL 2019 [PDF] 摘要

14. Handling Syntactic Divergence in Low-resource Machine Translation, EMNLP 2019 [PDF] 摘要

15. Exploiting Multilingualism through Multistage Fine-Tuning for Low-Resource Neural Machine Translation, EMNLP 2019 [PDF] 摘要

16. The Challenges of Optimizing Machine Translation for Low Resource Cross-Language Information Retrieval, EMNLP 2019 [PDF] 摘要

17. The FLORES Evaluation Datasets for Low-Resource Machine Translation: Nepali–English and Sinhala–English, EMNLP 2019 [PDF] 摘要

18. Overcoming the Rare Word Problem for low-resource language pairs in Neural Machine Translation, EMNLP 2019 [PDF] 摘要

19. Adaptively Scheduled Multitask Learning: The Case of Low-Resource Neural Machine Translation, EMNLP 2019 [PDF] 摘要

20. Auto-Sizing the Transformer Network: Improving Speed, Efficiency, and Performance for Low-Resource Machine Translation, EMNLP 2019 [PDF] 摘要

21. Pre-training on high-resource speech recognition improves low-resource speech-to-text translation, NAACL 2019 [PDF] 摘要

22. Bi-Directional Differentiable Input Reconstruction for Low-Resource Neural Machine Translation, NAACL 2019 [PDF] 摘要

23. Addressing word-order Divergence in Multilingual Neural Machine Translation for extremely Low Resource Languages, NAACL 2019 [PDF] 摘要

24. Adaptive Knowledge Sharing in Multi-Task Learning: Improving Low-Resource Neural Machine Translation, ACL 2018 [PDF] 摘要

25. Unsupervised Source Hierarchies for Low-Resource Neural Machine Translation, ACL 2018 [PDF] 摘要

26. Multimodal Neural Machine Translation for Low-resource Language Pairs using Synthetic Data, ACL 2018 [PDF] 摘要

27. Meta-Learning for Low-Resource Neural Machine Translation, EMNLP 2018 [PDF] 摘要

28. Massively Parallel Cross-Lingual Learning in Low-Resource Target Language Translation, EMNLP 2018 [PDF] 摘要

29. Trivial Transfer Learning for Low-Resource Neural Machine Translation, EMNLP 2018 [PDF] 摘要

30. Universal Neural Machine Translation for Extremely Low Resource Languages, NAACL 2018 [PDF] 摘要

31. Approaching Neural Grammatical Error Correction as a Low-Resource Machine Translation Task, NAACL 2018 [PDF] 摘要

32. Using Word Vectors to Improve Word Alignments for Low Resource Machine Translation, NAACL 2018 [PDF] 摘要

33. Neural Machine Translation for Low Resource Languages using Bilingual Lexicon Induced from Comparable Corpora, NAACL 2018 [PDF] 摘要

34. Morphological Word Embeddings for Arabic Neural Machine Translation in Low-Resource Settings, NAACL 2018 [PDF] 摘要

35. Data Augmentation for Low-Resource Neural Machine Translation, ACL 2017 [PDF] 摘要

36. An Unsupervised Probability Model for Speech-to-Translation Alignment of Low-Resource Languages, EMNLP 2016 [PDF] 摘要

37. Transfer Learning for Low-Resource Neural Machine Translation, EMNLP 2016 [PDF] 摘要

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【NLP】 2014-2020 Multilingual Translation 多语翻译相关论文整理

发表于 2020-12-09 更新于 2020-12-18 分类于 AC论文 ， NLP 47k 1:18

目录

1. Evaluating the Cross-Lingual Effectiveness of Massively Multilingual Neural Machine Translation, AAAI 2020 [PDF] 摘要

2. Improving Massively Multilingual Neural Machine Translation and Zero-Shot Translation, ACL 2020 [PDF] 摘要

3. Language-aware Interlingua for Multilingual Neural Machine Translation, ACL 2020 [PDF] 摘要

4. Leveraging Monolingual Data with Self-Supervision for Multilingual Neural Machine Translation, ACL 2020 [PDF] 摘要

5. Knowledge Distillation for Multilingual Unsupervised Neural Machine Translation, ACL 2020 [PDF] 摘要

6. Translationese as a Language in “Multilingual” NMT, ACL 2020 [PDF] 摘要

7. Balancing Training for Multilingual Neural Machine Translation, ACL 2020 [PDF] 摘要

8. A Systematic Study of Inner-Attention-Based Sentence Representations in Multilingual Neural Machine Translation, CL 2020 [PDF] 摘要

9. Multi-task Learning for Multilingual Neural Machine Translation, EMNLP 2020 [PDF] 摘要

10. Bridging Linguistic Typology and Multilingual Machine Translation with Multi-view Language Representations, EMNLP 2020 [PDF] 摘要

11. Pre-training Multilingual Neural Machine Translation by Leveraging Alignment Information, EMNLP 2020 [PDF] 摘要

12. A Multilingual View of Unsupervised Machine Translation, EMNLP 2020 [PDF] 摘要

13. Improving Target-side Lexical Transfer in Multilingual Neural Machine Translation, EMNLP 2020 [PDF] 摘要

14. A Compact and Language-Sensitive Multilingual Translation Method, ACL 2019 [PDF] 摘要

15. Target Conditioned Sampling: Optimizing Data Selection for Multilingual Neural Machine Translation, ACL 2019 [PDF] 摘要

16. Paraphrases as Foreign Languages in Multilingual Neural Machine Translation, ACL 2019 [PDF] 摘要

17. From Bilingual to Multilingual Neural Machine Translation by Incremental Training, ACL 2019 [PDF] 摘要

18. A High-Quality Multilingual Dataset for Structured Documentation Translation, ACL 2019 [PDF] 摘要

19. University of Tartu’s Multilingual Multi-domain WMT19 News Translation Shared Task Submission, ACL 2019 [PDF] 摘要

20. The MuCoW Test Suite at WMT 2019: Automatically Harvested Multilingual Contrastive Word Sense Disambiguation Test Sets for Machine Translation, ACL 2019 [PDF] 摘要

21. Multilingual Neural Machine Translation with Language Clustering, EMNLP 2019 [PDF] 摘要

22. Multilingual word translation using auxiliary languages, EMNLP 2019 [PDF] 摘要

23. Exploiting Multilingualism through Multistage Fine-Tuning for Low-Resource Neural Machine Translation, EMNLP 2019 [PDF] 摘要

24. A Multi-Pairwise Extension of Procrustes Analysis for Multilingual Word Translation, EMNLP 2019 [PDF] 摘要

25. Japanese-Russian TMU Neural Machine Translation System using Multilingual Model for WAT 2019, EMNLP 2019 [PDF] 摘要

26. Multilingual Whispers: Generating Paraphrases with Translation, EMNLP 2019 [PDF] 摘要

27. Multilingual Neural Machine Translation with Knowledge Distillation, ICLR 2019 [PDF] 摘要

28. Multilingual Neural Machine Translation With Soft Decoupled Encoding, ICLR 2019 [PDF] 摘要

29. MuST-C: a Multilingual Speech Translation Corpus, NAACL 2019 [PDF] 摘要

30. Addressing word-order Divergence in Multilingual Neural Machine Translation for extremely Low Resource Languages, NAACL 2019 [PDF] 摘要

31. Massively Multilingual Neural Machine Translation, NAACL 2019 [PDF] 摘要

32. Learning Translations via Images with a Massively Multilingual Image Dataset, ACL 2018 [PDF] 摘要

33. A Comparison of Transformer and Recurrent Neural Networks on Multilingual Neural Machine Translation, COLING 2018 [PDF] 摘要

34. Multilingual Neural Machine Translation with Task-Specific Attention, COLING 2018 [PDF] 摘要

35. KIT Lecture Translator: Multilingual Speech Translation with One-Shot Learning, COLING 2018 [PDF] 摘要

36. Construction of a Multilingual Corpus Annotated with Translation Relations, COLING 2018 [PDF] 摘要

37. Three Strategies to Improve One-to-Many Multilingual Translation, EMNLP 2018 [PDF] 摘要

38. A neural interlingua for multilingual machine translation, EMNLP 2018 [PDF] 摘要

39. Parameter Sharing Methods for Multilingual Self-Attentional Translation Models, EMNLP 2018 [PDF] 摘要

40. Cognate-aware morphological segmentation for multilingual neural translation, EMNLP 2018 [PDF] 摘要

41. Google’s Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation, TACL 2017 [PDF] 摘要

42. Learning to Translate for Multilingual Question Answering, EMNLP 2016 [PDF] 摘要

43. Multi-Way, Multilingual Neural Machine Translation with a Shared Attention Mechanism, NAACL 2016 [PDF] 摘要

44. Improving Statistical Machine Translation with a Multilingual Paraphrase Database, EMNLP 2015 [PDF] 摘要

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【NLP】 2014-2020 Multi-Source 多源相关论文整理

发表于 2020-12-09 更新于 2020-12-18 分类于 AC论文 ， NLP 48k 1:20

目录

1. Multi-Source Domain Adaptation for Visual Sentiment Classification, AAAI 2020 [PDF] 摘要

2. Adversarial Training Based Multi-Source Unsupervised Domain Adaptation for Sentiment Analysis, AAAI 2020 [PDF] 摘要

3. Multi-Source Domain Adaptation for Text Classification via DistanceNet-Bandits, AAAI 2020 [PDF] 摘要

4. Multi-Source Distilling Domain Adaptation, AAAI 2020 [PDF] 摘要

5. Learning to Contextually Aggregate Multi-Source Supervision for Sequence Labeling, ACL 2020 [PDF] 摘要

6. Single-/Multi-Source Cross-Lingual NER via Teacher-Student Learning on Unlabeled Data in Target Language, ACL 2020 [PDF] 摘要

7. Multi-source Meta Transfer for Low Resource Multiple-Choice Question Answering, ACL 2020 [PDF] 摘要

8. Transformer Based Multi-Source Domain Adaptation, EMNLP 2020 [PDF] 摘要

9. Denoising Multi-Source Weak Supervision for Neural Text Classification, EMNLP 2020 [PDF] 摘要

10. MULTIPOLAR: Multi-Source Policy Aggregation for Transfer Reinforcement Learning between Diverse Environmental Dynamics, IJCAI 2020 [PDF] 摘要

11. An Iterative Multi-Source Mutual Knowledge Transfer Framework for Machine Reading Comprehension, IJCAI 2020 [PDF] 摘要

12. Multi-Source Neural Variational Inference, AAAI 2019 [PDF] 摘要

13. Multi-Source Cross-Lingual Model Transfer: Learning What to Share, ACL 2019 [PDF] 摘要

14. DoubleTransfer at MEDIQA 2019: Multi-Source Transfer Learning for Natural Language Understanding in the Medical Domain, ACL 2019 [PDF] 摘要

15. Multi-Source Transformer for Kazakh-Russian-English Neural Machine Translation, ACL 2019 [PDF] 摘要

16. Transformer-based Automatic Post-Editing Model with Joint Encoder and Multi-source Attention of Decoder, ACL 2019 [PDF] 摘要

17. Generating a Common Question from Multiple Documents using Multi-source Encoder-Decoder Models, EMNLP 2019 [PDF] 摘要

18. Medical Concept Representation Learning from Multi-source Data, IJCAI 2019 [PDF] 摘要

19. Learning New Tricks From Old Dogs: Multi-Source Transfer Learning From Pre-Trained Networks, NeurIPS 2019 [PDF] 摘要

20. Multi-source Domain Adaptation for Semantic Segmentation, NeurIPS 2019 [PDF] 摘要

21. Multi-Source Neural Machine Translation with Missing Data, ACL 2018 [PDF] 摘要

22. Multi-Source Multi-Class Fake News Detection, COLING 2018 [PDF] 摘要

23. Automatic Curation and Visualization of Crime Related Information from Incrementally Crawled Multi-source News Reports, COLING 2018 [PDF] 摘要

24. Multi-Source Syntactic Neural Machine Translation, EMNLP 2018 [PDF] 摘要

25. Multi-Source Domain Adaptation with Mixture of Experts, EMNLP 2018 [PDF] 摘要

26. Multi-source synthetic treebank creation for improved cross-lingual dependency parsing, EMNLP 2018 [PDF] 摘要

27. Low-resource named entity recognition via multi-source projection: Not quite there yet?, EMNLP 2018 [PDF] 摘要

28. Input Combination Strategies for Multi-Source Transformer Decoder, EMNLP 2018 [PDF] 摘要

29. Neural Machine Translation with the Transformer and Multi-Source Romance Languages for the Biomedical WMT 2018 task, EMNLP 2018 [PDF] 摘要

30. A Transformer-Based Multi-Source Automatic Post-Editing System, EMNLP 2018 [PDF] 摘要

31. Multi-source transformer with combined losses for automatic post editing, EMNLP 2018 [PDF] 摘要

32. Recommendation with Multi-Source Heterogeneous Information, IJCAI 2018 [PDF] 摘要

33. From Shared Subspaces to Shared Landmarks: A Robust Multi-Source Classification Approach, AAAI 2017 [PDF] 摘要

34. Attention Strategies for Multi-Source Sequence-to-Sequence Learning, ACL 2017 [PDF] 摘要

35. Source-Target Similarity Modelings for Multi-Source Transfer Gaussian Process Regression, ICML 2017 [PDF] 摘要

36. A Representation Learning Framework for Multi-Source Transfer Parsing, AAAI 2016 [PDF] 摘要

37. Ensemble Learning for Multi-Source Neural Machine Translation, COLING 2016 [PDF] 摘要

38. Multi-Source Iterative Adaptation for Cross-Domain Classification, IJCAI 2016 [PDF] 摘要

39. Multi-Source Neural Translation, NAACL 2016 [PDF] 摘要

40. Multi-Source Domain Adaptation: A Causal View, AAAI 2015 [PDF] 摘要

41. Interest Inference via Structure-Constrained Multi-Source Multi-Task Learning, IJCAI 2015 [PDF] 摘要

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【NLP】 2014-2020 Pivot Translation 相关论文整理

发表于 2020-12-09 更新于 2020-12-18 分类于 AC论文 ， NLP 9.3k 16 分钟

目录

1. Unsupervised Multimodal Neural Machine Translation with Pseudo Visual Pivoting, ACL 2020 [PDF] 摘要

2. Unsupervised Pivot Translation for Distant Languages, ACL 2019 [PDF] 摘要

3. The TALP-UPC Machine Translation Systems for WMT19 News Translation Task: Pivoting Techniques for Low Resource MT, ACL 2019 [PDF] 摘要

4. Pivot-based Transfer Learning for Neural Machine Translation between Non-English Languages, EMNLP 2019 [PDF] 摘要

5. Zero-Resource Neural Machine Translation with Monolingual Pivot Data, EMNLP 2019 [PDF] 摘要

6. From Words to Sentences: A Progressive Learning Approach for Zero-resource Machine Translation with Visual Pivots, IJCAI 2019 [PDF] 摘要

7. Joint Training for Pivot-based Neural Machine Translation, IJCAI 2017 [PDF] 摘要

8. Multimodal Pivots for Image Caption Translation, ACL 2016 [PDF] 摘要

9. Exploring Key Concept Paraphrasing Based on Pivot Language Translation for Question Retrieval, AAAI 2015 [PDF] 摘要

10. Improving Pivot Translation by Remembering the Pivot, ACL 2015 [PDF] 摘要

11. Improving Pivot-Based Statistical Machine Translation by Pivoting the Co-occurrence Count of Phrase Pairs, EMNLP 2014 [PDF] 摘要

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【NLP】 2014-2020 Unsupervised Translation 无监督翻译相关论文整理

发表于 2020-12-09 更新于 2020-12-18 分类于 AC论文 ， NLP 59k 1:38

目录

1. Unsupervised Neural Dialect Translation with Commonality and Diversity Modeling, AAAI 2020 [PDF] 摘要

2. Learning to Transfer: Unsupervised Domain Translation via Meta-Learning, AAAI 2020 [PDF] 摘要

3. A Retrieve-and-Rewrite Initialization Method for Unsupervised Machine Translation, ACL 2020 [PDF] 摘要

4. Knowledge Distillation for Multilingual Unsupervised Neural Machine Translation, ACL 2020 [PDF] 摘要

5. Unsupervised Multimodal Neural Machine Translation with Pseudo Visual Pivoting, ACL 2020 [PDF] 摘要

6. Unsupervised Word Translation with Adversarial Autoencoder, CL 2020 [PDF] 摘要

7. A Multilingual View of Unsupervised Machine Translation, EMNLP 2020 [PDF] 摘要

8. Reference Language based Unsupervised Neural Machine Translation, EMNLP 2020 [PDF] 摘要

9. U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation, ICLR 2020 [PDF] 摘要

10. Unsupervised Neural Machine Translation with SMT as Posterior Regularization, AAAI 2019 [PDF] 摘要

11. Unsupervised Pivot Translation for Distant Languages, ACL 2019 [PDF] 摘要

12. An Effective Approach to Unsupervised Machine Translation, ACL 2019 [PDF] 摘要

13. Unsupervised Parallel Sentence Extraction with Parallel Segment Detection Helps Machine Translation, ACL 2019 [PDF] 摘要

14. Unsupervised Bilingual Word Embedding Agreement for Unsupervised Neural Machine Translation, ACL 2019 [PDF] 摘要

15. Translating Translationese: A Two-Step Approach to Unsupervised Machine Translation, ACL 2019 [PDF] 摘要

16. Unsupervised Question Answering by Cloze Translation, ACL 2019 [PDF] 摘要

17. Bilingual Lexicon Induction through Unsupervised Machine Translation, ACL 2019 [PDF] 摘要

18. Unsupervised Paraphrasing without Translation, ACL 2019 [PDF] 摘要

19. Unsupervised Pretraining for Neural Machine Translation Using Elastic Weight Consolidation, ACL 2019 [PDF] 摘要

20. Unsupervised Compositional Translation of Multiword Expressions, ACL 2019 [PDF] 摘要

21. CUNI Systems for the Unsupervised News Translation Task in WMT 2019, ACL 2019 [PDF] 摘要

22. Incorporating Word and Subword Units in Unsupervised Machine Translation Using Language Model Rescoring, ACL 2019 [PDF] 摘要

23. NICT’s Unsupervised Neural and Statistical Machine Translation Systems for the WMT19 News Translation Task, ACL 2019 [PDF] 摘要

24. The LMU Munich Unsupervised Machine Translation System for WMT19, ACL 2019 [PDF] 摘要

25. Explicit Cross-lingual Pre-training for Unsupervised Machine Translation, EMNLP 2019 [PDF] 摘要

26. Unsupervised Domain Adaptation for Neural Machine Translation with Domain-Aware Feature Embeddings, EMNLP 2019 [PDF] 摘要

27. IMaT: Unsupervised Text Attribute Transfer via Iterative Matching and Translation, EMNLP 2019 [PDF] 摘要

28. Supervised and Unsupervised Machine Translation for Myanmar-English and Khmer-English, EMNLP 2019 [PDF] 摘要

29. English-Myanmar Supervised and Unsupervised NMT: NICT’s Machine Translation Systems at WAT-2019, EMNLP 2019 [PDF] 摘要

30. Exemplar Guided Unsupervised Image-to-Image Translation with Semantic Consistency, ICLR 2019 [PDF] 摘要

31. Polygon-Net: A General Framework for Jointly Boosting Multiple Unsupervised Neural Machine Translation Models, IJCAI 2019 [PDF] 摘要

32. Extract and Edit: An Alternative to Back-Translation for Unsupervised Neural Machine Translation, NAACL 2019 [PDF] 摘要

33. Unsupervised Extraction of Partial Translations for Neural Machine Translation, NAACL 2019 [PDF] 摘要

34. Revisiting Adversarial Autoencoder for Unsupervised Word Translation with Cycle Consistency and Improved Training, NAACL 2019 [PDF] 摘要

35. Comparing Unsupervised Word Translation Methods Step by Step, NeurIPS 2019 [PDF] 摘要

36. Unsupervised Neural Machine Translation with Weight Sharing, ACL 2018 [PDF] 摘要

37. Unsupervised Source Hierarchies for Low-Resource Neural Machine Translation, ACL 2018 [PDF] 摘要

38. Non-Adversarial Unsupervised Word Translation, EMNLP 2018 [PDF] 摘要

39. Learning Unsupervised Word Translations Without Adversaries, EMNLP 2018 [PDF] 摘要

40. Improving Unsupervised Word-by-Word Translation with Language Model and Denoising Autoencoder, EMNLP 2018 [PDF] 摘要

41. Unsupervised Statistical Machine Translation, EMNLP 2018 [PDF] 摘要

42. Phrase-Based & Neural Unsupervised Machine Translation, EMNLP 2018 [PDF] 摘要

43. Phrase-based Unsupervised Machine Translation with Compositional Phrase Embeddings, EMNLP 2018 [PDF] 摘要

44. The RWTH Aachen University English-German and German-English Unsupervised Neural Machine Translation Systems for WMT 2018, EMNLP 2018 [PDF] 摘要

45. The LMU Munich Unsupervised Machine Translation Systems, EMNLP 2018 [PDF] 摘要

46. Unsupervised Machine Translation Using Monolingual Corpora Only, ICLR 2018 [PDF] 摘要

47. Unsupervised Neural Machine Translation, ICLR 2018 [PDF] 摘要

48. One-Shot Unsupervised Cross Domain Translation, NeurIPS 2018 [PDF] 摘要

49. Unsupervised Attention-guided Image-to-Image Translation, NeurIPS 2018 [PDF] 摘要

50. Unsupervised Image-to-Image Translation Using Domain-Specific Variational Information Bound, NeurIPS 2018 [PDF] 摘要

51. Unsupervised Image-to-Image Translation Networks, NeurIPS 2017 [PDF] 摘要

52. An Unsupervised Method for Automatic Translation Memory Cleaning, ACL 2016 [PDF] 摘要

53. TMop: a Tool for Unsupervised Translation Memory Cleaning, ACL 2016 [PDF] 摘要

54. An Unsupervised Probability Model for Speech-to-Translation Alignment of Low-Resource Languages, EMNLP 2016 [PDF] 摘要

55. Unsupervised Identification of Translationese, TACL 2015 [PDF] 摘要

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【NLP】 2014-2020 Recommendation System 推荐系统相关论文整理

发表于 2020-12-09 更新于 2020-12-18 分类于 AC论文 ， NLP 407k 11:18

目录

1. Efficient Heterogeneous Collaborative Filtering without Negative Sampling for Recommendation, AAAI 2020 [PDF] 摘要

2. Question-Driven Purchasing Propensity Analysis for Recommendation, AAAI 2020 [PDF] 摘要

3. Leveraging Title-Abstract Attentive Semantics for Paper Recommendation, AAAI 2020 [PDF] 摘要

4. An Attentional Recurrent Neural Network for Personalized Next Location Recommendation, AAAI 2020 [PDF] 摘要

5. Fair Updates in Two-Sided Market Platforms: On Incrementally Updating Recommendations, AAAI 2020 [PDF] 摘要

6. Towards Comprehensive Recommender Systems: Time-Aware Unified Recommendations Based on Listwise Ranking of Implicit Cross-Network Data, AAAI 2020 [PDF] 摘要

7. PEIA: Personality and Emotion Integrated Attentive Model for Music Recommendation on Social Media Platforms, AAAI 2020 [PDF] 摘要

8. Where to Go Next: Modeling Long- and Short-Term User Preferences for Point-of-Interest Recommendation, AAAI 2020 [PDF] 摘要

9. Multi-Feature Discrete Collaborative Filtering for Fast Cold-Start Recommendation, AAAI 2020 [PDF] 摘要

10. Table2Analysis: Modeling and Recommendation of Common Analysis Patterns for Multi-Dimensional Data, AAAI 2020 [PDF] 摘要

11. Enhancing Personalized Trip Recommendation with Attractive Routes, AAAI 2020 [PDF] 摘要

12. Towards Hands-Free Visual Dialog Interactive Recommendation, AAAI 2020 [PDF] 摘要

13. Fast Adaptively Weighted Matrix Factorization for Recommendation with Implicit Feedback, AAAI 2020 [PDF] 摘要

14. Sequential Recommendation with Relation-Aware Kernelized Self-Attention, AAAI 2020 [PDF] 摘要

15. Stochastically Robust Personalized Ranking for LSH Recommendation Retrieval, AAAI 2020 [PDF] 摘要

16. Symmetric Metric Learning with Adaptive Margin for Recommendation, AAAI 2020 [PDF] 摘要

17. Diversified Interactive Recommendation with Implicit Feedback, AAAI 2020 [PDF] 摘要

18. Memory Augmented Graph Neural Networks for Sequential Recommendation, AAAI 2020 [PDF] 摘要

19. Attention-Guide Walk Model in Heterogeneous Information Network for Multi-Style Recommendation Explanation, AAAI 2020 [PDF] 摘要

20. Contextual-Bandit Based Personalized Recommendation with Time-Varying User Interests, AAAI 2020 [PDF] 摘要

21. A Knowledge-Aware Attentional Reasoning Network for Recommendation, AAAI 2020 [PDF] 摘要

22. Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation, AAAI 2020 [PDF] 摘要

23. Understanding Chat Messages for Sticker Recommendation in Messaging Apps, AAAI 2020 [PDF] 摘要

24. Implicit Skills Extraction Using Document Embedding and Its Use in Job Recommendation, AAAI 2020 [PDF] 摘要

25. Discovery News: A Generic Framework for Financial News Recommendation, AAAI 2020 [PDF] 摘要

26. Towards an Integrative Educational Recommender for Lifelong Learners, AAAI 2020 [PDF] 摘要

27. Deep Ranking for Style-Aware Room Recommendations, AAAI 2020 [PDF] 摘要

28. Fine-grained Interest Matching for Neural News Recommendation, ACL 2020 [PDF] 摘要

29. Towards Conversational Recommendation over Multi-Type Dialogs, ACL 2020 [PDF] 摘要

30. Dynamic Online Conversation Recommendation, ACL 2020 [PDF] 摘要

31. MIND: A Large-scale Dataset for News Recommendation, ACL 2020 [PDF] 摘要

32. Graph Neural News Recommendation with Unsupervised Preference Disentanglement, ACL 2020 [PDF] 摘要

33. Deep Learning-based Online Alternative Product Recommendations at Scale, ACL 2020 [PDF] 摘要

34. INSPIRED: Toward Sociable Recommendation Dialog Systems, EMNLP 2020 [PDF] 摘要

35. Privacy-Preserving News Recommendation Model Learning, EMNLP 2020 [PDF] 摘要

36. PrivNet: Safeguarding Private Attributes in Transfer Learning for Recommendation, EMNLP 2020 [PDF] 摘要

37. Feature Interaction Interpretability: A Case for Explaining Ad-Recommendation Systems via Neural Interaction Detection, ICLR 2020 [PDF] 摘要

38. Adversarial Oracular Seq2seq Learning for Sequential Recommendation, IJCAI 2020 [PDF] 摘要

39. Memory Augmented Neural Model for Incremental Session-based Recommendation, IJCAI 2020 [PDF] 摘要

40. Synthesizing Aspect-Driven Recommendation Explanations from Reviews, IJCAI 2020 [PDF] 摘要

41. Neural Tensor Model for Learning Multi-Aspect Factors in Recommender Systems, IJCAI 2020 [PDF] 摘要

42. Contextualized Point-of-Interest Recommendation, IJCAI 2020 [PDF] 摘要

43. Deep Feedback Network for Recommendation, IJCAI 2020 [PDF] 摘要

44. Learning Personalized Itemset Mapping for Cross-Domain Recommendation, IJCAI 2020 [PDF] 摘要

45. Intent Preference Decoupling for User Representation on Online Recommender System, IJCAI 2020 [PDF] 摘要

46. Collaborative Self-Attention Network for Session-based Recommendation, IJCAI 2020 [PDF] 摘要

47. Explainable Recommendation via Interpretable Feature Mapping and Evaluation of Explainability, IJCAI 2020 [PDF] 摘要

48. Internal and Contextual Attention Network for Cold-start Multi-channel Matching in Recommendation, IJCAI 2020 [PDF] 摘要

49. Towards Explainable Conversational Recommendation, IJCAI 2020 [PDF] 摘要

50. A Graphical and Attentional Framework for Dual-Target Cross-Domain Recommendation, IJCAI 2020 [PDF] 摘要

51. User Modeling with Click Preference and Reading Satisfaction for News Recommendation, IJCAI 2020 [PDF] 摘要

52. Discovering Subsequence Patterns for Next POI Recommendation, IJCAI 2020 [PDF] 摘要

53. HyperNews: Simultaneous News Recommendation and Active-Time Prediction via a Double-Task Deep Neural Network, IJCAI 2020 [PDF] 摘要

54. Learning the Compositional Visual Coherence for Complementary Recommendations, IJCAI 2020 [PDF] 摘要

55. An Interactive Multi-Task Learning Framework for Next POI Recommendation with Uncertain Check-ins, IJCAI 2020 [PDF] 摘要

56. TopicKA: Generating Commonsense Knowledge-Aware Dialogue Responses Towards the Recommended Topic Fact, IJCAI 2020 [PDF] 摘要

57. Methodological Issues in Recommender Systems Research (Extended Abstract), IJCAI 2020 [PDF] 摘要

58. Dynamic Explainable Recommendation Based on Neural Attentive Models, AAAI 2019 [PDF] 摘要

59. DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System, AAAI 2019 [PDF] 摘要

60. Deeply Fusing Reviews and Contents for Cold Start Users in Cross-Domain Recommendation Systems, AAAI 2019 [PDF] 摘要

61. Discrete Social Recommendation, AAAI 2019 [PDF] 摘要

62. Multi-Level Deep Cascade Trees for Conversion Rate Prediction in Recommendation System, AAAI 2019 [PDF] 摘要

63. Session-Based Recommendation with Graph Neural Networks, AAAI 2019 [PDF] 摘要

64. Hierarchical Reinforcement Learning for Course Recommendation in MOOCs, AAAI 2019 [PDF] 摘要

65. Joint Representation Learning for Multi-Modal Transportation Recommendation, AAAI 2019 [PDF] 摘要

66. GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination, AAAI 2019 [PDF] 摘要

67. From Recommendation Systems to Facility Location Games, AAAI 2019 [PDF] 摘要

68. Large-Scale Interactive Recommendation with Tree-Structured Policy Gradient, AAAI 2019 [PDF] 摘要

69. Explainable Recommendation through Attentive Multi-View Learning, AAAI 2019 [PDF] 摘要

70. Interaction-Aware Factorization Machines for Recommender Systems, AAAI 2019 [PDF] 摘要

71. HERS: Modeling Influential Contexts with Heterogeneous Relations for Sparse and Cold-Start Recommendation, AAAI 2019 [PDF] 摘要

72. From Zero-Shot Learning to Cold-Start Recommendation, AAAI 2019 [PDF] 摘要

73. Non-Compensatory Psychological Models for Recommender Systems, AAAI 2019 [PDF] 摘要

74. RepeatNet: A Repeat Aware Neural Recommendation Machine for Session-Based Recommendation, AAAI 2019 [PDF] 摘要

75. Evaluating Recommender System Stability with Influence-Guided Fuzzing, AAAI 2019 [PDF] 摘要

76. Hierarchical Context Enabled Recurrent Neural Network for Recommendation, AAAI 2019 [PDF] 摘要

77. An Integral Tag Recommendation Model for Textual Content, AAAI 2019 [PDF] 摘要

78. Holographic Factorization Machines for Recommendation, AAAI 2019 [PDF] 摘要

79. CAMO: A Collaborative Ranking Method for Content Based Recommendation, AAAI 2019 [PDF] 摘要

80. Explainable Reasoning over Knowledge Graphs for Recommendation, AAAI 2019 [PDF] 摘要

81. Multi-Order Attentive Ranking Model for Sequential Recommendation, AAAI 2019 [PDF] 摘要

82. Hashtag Recommendation for Photo Sharing Services, AAAI 2019 [PDF] 摘要

83. Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation, AAAI 2019 [PDF] 摘要

84. DAN: Deep Attention Neural Network for News Recommendation, AAAI 2019 [PDF] 摘要

85. Context-Tree Recommendation vs Matrix-Factorization: Algorithm Selection and Live Users Evaluation, AAAI 2019 [PDF] 摘要

86. Recommender Systems: A Healthy Obsession, AAAI 2019 [PDF] 摘要

87. Cross-Domain Recommendation via Coupled Factorization Machines, AAAI 2019 [PDF] 摘要

88. Neural News Recommendation with Long- and Short-term User Representations, ACL 2019 [PDF] 摘要

89. DeepSentiPeer: Harnessing Sentiment in Review Texts to Recommend Peer Review Decisions, ACL 2019 [PDF] 摘要

90. Neural News Recommendation with Topic-Aware News Representation, ACL 2019 [PDF] 摘要

91. Neural-based Chinese Idiom Recommendation for Enhancing Elegance in Essay Writing, ACL 2019 [PDF] 摘要

92. Justifying Recommendations using Distantly-Labeled Reviews and Fine-Grained Aspects, EMNLP 2019 [PDF] 摘要

93. Towards Knowledge-Based Recommender Dialog System, EMNLP 2019 [PDF] 摘要

94. Recommendation as a Communication Game: Self-Supervised Bot-Play for Goal-oriented Dialogue, EMNLP 2019 [PDF] 摘要

95. Neural Conversation Recommendation with Online Interaction Modeling, EMNLP 2019 [PDF] 摘要

96. Neural News Recommendation with Heterogeneous User Behavior, EMNLP 2019 [PDF] 摘要

97. Reviews Meet Graphs: Enhancing User and Item Representations for Recommendation with Hierarchical Attentive Graph Neural Network, EMNLP 2019 [PDF] 摘要

98. Neural News Recommendation with Multi-Head Self-Attention, EMNLP 2019 [PDF] 摘要

99. Generative Adversarial User Model for Reinforcement Learning Based Recommendation System, ICML 2019 [PDF] 摘要

100. Learning from Delayed Outcomes via Proxies with Applications to Recommender Systems, ICML 2019 [PDF] 摘要

101. Doubly Robust Joint Learning for Recommendation on Data Missing Not at Random, ICML 2019 [PDF] 摘要

102. Deep Adversarial Social Recommendation, IJCAI 2019 [PDF] 摘要

103. Dynamic Item Block and Prediction Enhancing Block for Sequential Recommendation, IJCAI 2019 [PDF] 摘要

104. Discrete Trust-aware Matrix Factorization for Fast Recommendation, IJCAI 2019 [PDF] 摘要

105. Minimizing Time-to-Rank: A Learning and Recommendation Approach, IJCAI 2019 [PDF] 摘要

106. Personalized Multimedia Item and Key Frame Recommendation, IJCAI 2019 [PDF] 摘要

107. DeepAPF: Deep Attentive Probabilistic Factorization for Multi-site Video Recommendation, IJCAI 2019 [PDF] 摘要

108. Geo-ALM: POI Recommendation by Fusing Geographical Information and Adversarial Learning Mechanism, IJCAI 2019 [PDF] 摘要

109. Multi-View Active Learning for Video Recommendation, IJCAI 2019 [PDF] 摘要

110. Matching User with Item Set: Collaborative Bundle Recommendation with Deep Attention Network, IJCAI 2019 [PDF] 摘要

111. Co-Attentive Multi-Task Learning for Explainable Recommendation, IJCAI 2019 [PDF] 摘要

112. Recommending Links to Maximize the Influence in Social Networks, IJCAI 2019 [PDF] 摘要

113. Reinforced Negative Sampling for Recommendation with Exposure Data, IJCAI 2019 [PDF] 摘要

114. RecoNet: An Interpretable Neural Architecture for Recommender Systems, IJCAI 2019 [PDF] 摘要

115. Hybrid Item-Item Recommendation via Semi-Parametric Embedding, IJCAI 2019 [PDF] 摘要

116. SlateQ: A Tractable Decomposition for Reinforcement Learning with Recommendation Sets, IJCAI 2019 [PDF] 摘要

117. Convolutional Gaussian Embeddings for Personalized Recommendation with Uncertainty, IJCAI 2019 [PDF] 摘要

118. Sequential and Diverse Recommendation with Long Tail, IJCAI 2019 [PDF] 摘要

119. Correlation-Sensitive Next-Basket Recommendation, IJCAI 2019 [PDF] 摘要

120. A Review-Driven Neural Model for Sequential Recommendation, IJCAI 2019 [PDF] 摘要

121. DMRAN: A Hierarchical Fine-Grained Attention-Based Network for Recommendation, IJCAI 2019 [PDF] 摘要

122. Modeling Multi-Purpose Sessions for Next-Item Recommendations via Mixture-Channel Purpose Routing Networks, IJCAI 2019 [PDF] 摘要

123. Unified Embedding Model over Heterogeneous Information Network for Personalized Recommendation, IJCAI 2019 [PDF] 摘要

124. Neural News Recommendation with Attentive Multi-View Learning, IJCAI 2019 [PDF] 摘要

125. PD-GAN: Adversarial Learning for Personalized Diversity-Promoting Recommendation, IJCAI 2019 [PDF] 摘要

126. BPAM: Recommendation Based on BP Neural Network with Attention Mechanism, IJCAI 2019 [PDF] 摘要

127. CFM: Convolutional Factorization Machines for Context-Aware Recommendation, IJCAI 2019 [PDF] 摘要

128. Graph Contextualized Self-Attention Network for Session-based Recommendation, IJCAI 2019 [PDF] 摘要

129. Adaptive User Modeling with Long and Short-Term Preferences for Personalized Recommendation, IJCAI 2019 [PDF] 摘要

130. DARec: Deep Domain Adaptation for Cross-Domain Recommendation via Transferring Rating Patterns, IJCAI 2019 [PDF] 摘要

131. STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems, IJCAI 2019 [PDF] 摘要

132. Quaternion Collaborative Filtering for Recommendation, IJCAI 2019 [PDF] 摘要

133. Feature-level Deeper Self-Attention Network for Sequential Recommendation, IJCAI 2019 [PDF] 摘要

134. Collaborative Metric Learning with Memory Network for Multi-Relational Recommender Systems, IJCAI 2019 [PDF] 摘要

135. Learning Shared Vertex Representation in Heterogeneous Graphs with Convolutional Networks for Recommendation, IJCAI 2019 [PDF] 摘要

136. Disparity-preserved Deep Cross-platform Association for Cross-platform Video Recommendation, IJCAI 2019 [PDF] 摘要

137. Explainable Fashion Recommendation: A Semantic Attribute Region Guided Approach, IJCAI 2019 [PDF] 摘要

138. Novel Collaborative Filtering Recommender Friendly to Privacy Protection, IJCAI 2019 [PDF] 摘要

139. ISLF: Interest Shift and Latent Factors Combination Model for Session-based Recommendation, IJCAI 2019 [PDF] 摘要

140. Pre-training of Graph Augmented Transformers for Medication Recommendation, IJCAI 2019 [PDF] 摘要

141. Impact of Consuming Suggested Items on the Assessment of Recommendations in User Studies on Recommender Systems, IJCAI 2019 [PDF] 摘要

142. Causal Embeddings for Recommendation: An Extended Abstract, IJCAI 2019 [PDF] 摘要

143. Sequential Recommender Systems: Challenges, Progress and Prospects, IJCAI 2019 [PDF] 摘要

144. DeepRec: An Open-source Toolkit for Deep Learning based Recommendation, IJCAI 2019 [PDF] 摘要

145. Hierarchical User and Item Representation with Three-Tier Attention for Recommendation, NAACL 2019 [PDF] 摘要

146. Recommendations for Datasets for Source Code Summarization, NAACL 2019 [PDF] 摘要

147. Joint Optimization of Tree-based Index and Deep Model for Recommender Systems, NeurIPS 2019 [PDF] 摘要

148. Learning Disentangled Representations for Recommendation, NeurIPS 2019 [PDF] 摘要

149. A Model-Based Reinforcement Learning with Adversarial Training for Online Recommendation, NeurIPS 2019 [PDF] 摘要

150. Text-Based Interactive Recommendation via Constraint-Augmented Reinforcement Learning, NeurIPS 2019 [PDF] 摘要

151. Privacy Preserving Point-of-Interest Recommendation Using Decentralized Matrix Factorization, AAAI 2018 [PDF] 摘要

152. Social Recommendation with an Essential Preference Space, AAAI 2018 [PDF] 摘要

153. Confidence-Aware Matrix Factorization for Recommender Systems, AAAI 2018 [PDF] 摘要

154. Personalized Time-Aware Tag Recommendation, AAAI 2018 [PDF] 摘要

155. Telepath: Understanding Users from a Human Vision Perspective in Large-Scale Recommender Systems, AAAI 2018 [PDF] 摘要

156. Compatibility Family Learning for Item Recommendation and Generation, AAAI 2018 [PDF] 摘要

157. Collaborative Filtering With Social Exposure: A Modular Approach to Social Recommendation, AAAI 2018 [PDF] 摘要

158. Attention-Based Transactional Context Embedding for Next-Item Recommendation, AAAI 2018 [PDF] 摘要

159. WalkRanker: A Unified Pairwise Ranking Model With Multiple Relations for Item Recommendation, AAAI 2018 [PDF] 摘要

160. Coupled Poisson Factorization Integrated With User/Item Metadata for Modeling Popular and Sparse Ratings in Scalable Recommendation, AAAI 2018 [PDF] 摘要

161. Transferable Contextual Bandit for Cross-Domain Recommendation, AAAI 2018 [PDF] 摘要

162. Exploiting Emotion on Reviews for Recommender Systems, AAAI 2018 [PDF] 摘要

163. Personalized Privacy-Preserving Social Recommendation, AAAI 2018 [PDF] 摘要

164. SAGA: A Submodular Greedy Algorithm for Group Recommendation, AAAI 2018 [PDF] 摘要

165. ATRank: An Attention-Based User Behavior Modeling Framework for Recommendation, AAAI 2018 [PDF] 摘要

166. Generative Adversarial Network Based Heterogeneous Bibliographic Network Representation for Personalized Citation Recommendation, AAAI 2018 [PDF] 摘要

167. An E-Learning Recommender That Helps Learners Find the Right Materials, AAAI 2018 [PDF] 摘要

168. Deep Modeling of Social Relations for Recommendation, AAAI 2018 [PDF] 摘要

169. Explainable Cross-Domain Recommendations Through Relational Learning, AAAI 2018 [PDF] 摘要

170. TutorialBank: A Manually-Collected Corpus for Prerequisite Chains, Survey Extraction and Resource Recommendation, ACL 2018 [PDF] 摘要

171. The Importance of Recommender and Feedback Features in a Pronunciation Learning Aid, ACL 2018 [PDF] 摘要

172. WikiRef: Wikilinks as a route to recommending appropriate references for scientific Wikipedia pages, COLING 2018 [PDF] 摘要

173. Authorship Identification for Literary Book Recommendations, COLING 2018 [PDF] 摘要

174. LRMM: Learning to Recommend with Missing Modalities, EMNLP 2018 [PDF] 摘要

175. Content Explorer: Recommending Novel Entities for a Document Writer, EMNLP 2018 [PDF] 摘要

176. Argumentation-Based Recommendations: Fantastic Explanations and How to Find Them, IJCAI 2018 [PDF] 摘要

177. Content-Aware Hierarchical Point-of-Interest Embedding Model for Successive POI Recommendation, IJCAI 2018 [PDF] 摘要

178. DELF: A Dual-Embedding based Deep Latent Factor Model for Recommendation, IJCAI 2018 [PDF] 摘要

179. Improving Implicit Recommender Systems with View Data, IJCAI 2018 [PDF] 摘要

180. Recurrent Collaborative Filtering for Unifying General and Sequential Recommender, IJCAI 2018 [PDF] 摘要

181. Recommendation with Multi-Source Heterogeneous Information, IJCAI 2018 [PDF] 摘要

182. Interpretable Recommendation via Attraction Modeling: Learning Multilevel Attractiveness over Multimodal Movie Contents, IJCAI 2018 [PDF] 摘要

183. Modeling Contemporaneous Basket Sequences with Twin Networks for Next-Item Recommendation, IJCAI 2018 [PDF] 摘要

184. Discrete Factorization Machines for Fast Feature-based Recommendation, IJCAI 2018 [PDF] 摘要

185. Dynamic Bayesian Logistic Matrix Factorization for Recommendation with Implicit Feedback, IJCAI 2018 [PDF] 摘要

186. Your Tweets Reveal What You Like: Introducing Cross-media Content Information into Multi-domain Recommendation, IJCAI 2018 [PDF] 摘要

187. Matrix completion with Preference Ranking for Top-N Recommendation, IJCAI 2018 [PDF] 摘要

188. CoupledCF: Learning Explicit and Implicit User-item Couplings in Recommendation for Deep Collaborative Filtering, IJCAI 2018 [PDF] 摘要

189. PLASTIC: Prioritize Long and Short-term Information in Top-n Recommendation using Adversarial Training, IJCAI 2018 [PDF] 摘要

190. A Deep Framework for Cross-Domain and Cross-System Recommendations, IJCAI 2018 [PDF] 摘要

191. Towards Better Representation Learning for Personalized News Recommendation: a Multi-Channel Deep Fusion Approach, IJCAI 2018 [PDF] 摘要

192. LSTM Networks for Online Cross-Network Recommendations, IJCAI 2018 [PDF] 摘要

193. Exploiting POI-Specific Geographical Influence for Point-of-Interest Recommendation, IJCAI 2018 [PDF] 摘要

194. Sequential Recommender System based on Hierarchical Attention Networks, IJCAI 2018 [PDF] 摘要

195. Improving Entity Recommendation with Search Log and Multi-Task Learning, IJCAI 2018 [PDF] 摘要

196. Phrase Table as Recommendation Memory for Neural Machine Translation, IJCAI 2018 [PDF] 摘要

197. Metadata-dependent Infinite Poisson Factorization for Efficiently Modelling Sparse and Large Matrices in Recommendation, IJCAI 2018 [PDF] 摘要

198. Translation-based Recommendation: A Scalable Method for Modeling Sequential Behavior, IJCAI 2018 [PDF] 摘要

199. Modeling the Assimilation-Contrast Effects in Online Product Rating Systems: Debiasing and Recommendations, IJCAI 2018 [PDF] 摘要

200. Handling Uncertainty in Recommender Systems under the Belief Function Theory, IJCAI 2018 [PDF] 摘要

201. Using Contextual Bandits with Behavioral Constraints for Constrained Online Movie Recommendation, IJCAI 2018 [PDF] 摘要

202. Content-Based Citation Recommendation, NAACL 2018 [PDF] 摘要

203. Microblog Conversation Recommendation via Joint Modeling of Topics and Discourse, NAACL 2018 [PDF] 摘要

204. Combining Deep Learning and Topic Modeling for Review Understanding in Context-Aware Recommendation, NAACL 2018 [PDF] 摘要

205. Mining Evidences for Concept Stock Recommendation, NAACL 2018 [PDF] 摘要

206. Document-based Recommender System for Job Postings using Dense Representations, NAACL 2018 [PDF] 摘要

207. A Game-Theoretic Approach to Recommendation Systems with Strategic Content Providers, NeurIPS 2018 [PDF] 摘要

208. Fighting Boredom in Recommender Systems with Linear Reinforcement Learning, NeurIPS 2018 [PDF] 摘要

209. Fast Greedy MAP Inference for Determinantal Point Process to Improve Recommendation Diversity, NeurIPS 2018 [PDF] 摘要

210. Modeling Dynamic Missingness of Implicit Feedback for Recommendation, NeurIPS 2018 [PDF] 摘要

211. Online Reciprocal Recommendation with Theoretical Performance Guarantees, NeurIPS 2018 [PDF] 摘要

212. Towards Deep Conversational Recommendations, NeurIPS 2018 [PDF] 摘要

213. Read the Silence: Well-Timed Recommendation via Admixture Marked Point Processes, AAAI 2017 [PDF] 摘要

214. Exploiting both Vertical and Horizontal Dimensions of Feature Hierarchy for Effective Recommendation, AAAI 2017 [PDF] 摘要

215. CLARE: A Joint Approach to Label Classification and Tag Recommendation, AAAI 2017 [PDF] 摘要

216. Examples-Rules Guided Deep Neural Network for Makeup Recommendation, AAAI 2017 [PDF] 摘要

217. A Hybrid Collaborative Filtering Model with Deep Structure for Recommender Systems, AAAI 2017 [PDF] 摘要

218. Collaborative Dynamic Sparse Topic Regression with User Profile Evolution for Item Recommendation, AAAI 2017 [PDF] 摘要

219. ERMMA: Expected Risk Minimization for Matrix Approximation-based Recommender Systems, AAAI 2017 [PDF] 摘要

220. Finding Cut from the Same Cloth: Cross Network Link Recommendation via Joint Matrix Factorization, AAAI 2017 [PDF] 摘要

221. Low-Rank Linear Cold-Start Recommendation from Social Data, AAAI 2017 [PDF] 摘要

222. Factorization Bandits for Interactive Recommendation, AAAI 2017 [PDF] 摘要

223. Efficient Ordered Combinatorial Semi-Bandits for Whole-Page Recommendation, AAAI 2017 [PDF] 摘要

224. SenseRun: Real-Time Running Routes Recommendation towards Providing Pleasant Running Experiences, AAAI 2017 [PDF] 摘要

225. Opinion Recommendation Using A Neural Model, EMNLP 2017 [PDF] 摘要

226. Assessing Objective Recommendation Quality through Political Forecasting, EMNLP 2017 [PDF] 摘要

227. Proposing a Highly Accurate Hybrid Component-Based Factorised Preference Model in Recommender Systems, IJCAI 2017 [PDF] 摘要

228. SPMC: Socially-Aware Personalized Markov Chains for Sparse Sequential Recommendation, IJCAI 2017 [PDF] 摘要

229. Improved Bounded Matrix Completion for Large-Scale Recommender Systems, IJCAI 2017 [PDF] 摘要

230. Understanding Users' Budgets for Recommendation with Hierarchical Poisson Factorization, IJCAI 2017 [PDF] 摘要

231. Category-aware Next Point-of-Interest Recommendation via Listwise Bayesian Personalized Ranking, IJCAI 2017 [PDF] 摘要

232. Diversifying Personalized Recommendation with User-session Context, IJCAI 2017 [PDF] 摘要

233. Mention Recommendation for Twitter with End-to-end Memory Network, IJCAI 2017 [PDF] 摘要

234. Basket-Sensitive Personalized Item Recommendation, IJCAI 2017 [PDF] 摘要

235. Learning User's Intrinsic and Extrinsic Interests for Point-of-Interest Recommendation: A Unified Approach, IJCAI 2017 [PDF] 摘要

236. Learning User Dependencies for Recommendation, IJCAI 2017 [PDF] 摘要

237. Cross-Domain Recommendation: An Embedding and Mapping Approach, IJCAI 2017 [PDF] 摘要

238. Recommendation vs Sentiment Analysis: A Text-Driven Latent Factor Model for Rating Prediction with Cold-Start Awareness, IJCAI 2017 [PDF] 摘要

239. MRLR: Multi-level Representation Learning for Personalized Ranking in Recommendation, IJCAI 2017 [PDF] 摘要

240. Tag-Aware Personalized Recommendation Using a Hybrid Deep Model, IJCAI 2017 [PDF] 摘要

241. Deep Matrix Factorization Models for Recommender Systems, IJCAI 2017 [PDF] 摘要

242. FolkPopularityRank: Tag Recommendation for Enhancing Social Popularity using Text Tags in Content Sharing Services, IJCAI 2017 [PDF] 摘要

243. Hashtag Recommendation for Multimodal Microblog Using Co-Attention Network, IJCAI 2017 [PDF] 摘要

244. Learning Discriminative Recommendation Systems with Side Information, IJCAI 2017 [PDF] 摘要

245. Exploiting Music Play Sequence for Music Recommendation, IJCAI 2017 [PDF] 摘要

246. User-Based Opinion-based Recommendation, IJCAI 2017 [PDF] 摘要

247. Constructive Recommendation, IJCAI 2017 [PDF] 摘要

248. Become Popular in SNS: Tag Recommendation using FolkPopularityRank to Enhance Social Popularity, IJCAI 2017 [PDF] 摘要

249. Scalable Demand-Aware Recommendation, NeurIPS 2017 [PDF] 摘要

250. Off-policy evaluation for slate recommendation, NeurIPS 2017 [PDF] 摘要

251. DropoutNet: Addressing Cold Start in Recommender Systems, NeurIPS 2017 [PDF] 摘要

252. A Meta-Learning Perspective on Cold-Start Recommendations for Items, NeurIPS 2017 [PDF] 摘要

253. Capturing Semantic Correlation for Item Recommendation in Tagging Systems, AAAI 2016 [PDF] 摘要

254. Inferring a Personalized Next Point-of-Interest Recommendation Model with Latent Behavior Patterns, AAAI 2016 [PDF] 摘要

255. Top-N Recommender System via Matrix Completion, AAAI 2016 [PDF] 摘要

256. Recommendation with Social Dimensions, AAAI 2016 [PDF] 摘要

257. STELLAR: Spatial-Temporal Latent Ranking for Successive Point-of-Interest Recommendation, AAAI 2016 [PDF] 摘要

258. CAPReS: Context Aware Persona Based Recommendation for Shoppers, AAAI 2016 [PDF] 摘要

259. Expressive Recommender Systems through Normalized Nonnegative Models, AAAI 2016 [PDF] 摘要

260. Recommending Groups to Users Using User-Group Engagement and Time-Dependent Matrix Factorization, AAAI 2016 [PDF] 摘要

261. Multi-Domain Active Learning for Recommendation, AAAI 2016 [PDF] 摘要

262. Improving Recommendation of Tail Tags for Questions in Community Question Answering, AAAI 2016 [PDF] 摘要

263. News Citation Recommendation with Implicit and Explicit Semantics, ACL 2016 [PDF] 摘要

264. User Embedding for Scholarly Microblog Recommendation, ACL 2016 [PDF] 摘要

265. Hashtag Recommendation Using End-To-End Memory Networks with Hierarchical Attention, COLING 2016 [PDF] 摘要

266. Anecdote Recognition and Recommendation, COLING 2016 [PDF] 摘要

267. Hashtag Recommendation with Topical Attention-Based LSTM, COLING 2016 [PDF] 摘要

268. Transferring User Interests Across Websites with Unstructured Text for Cold-Start Recommendation, EMNLP 2016 [PDF] 摘要

269. Learning to refine text based recommendations, EMNLP 2016 [PDF] 摘要

270. Session-based Recommendations with Recurrent Neural Networks, ICLR 2016 [PDF] 摘要

271. Bounded Off-Policy Evaluation with Missing Data for Course Recommendation and Curriculum Design, ICML 2016 [PDF] 摘要

272. Recommendations as Treatments: Debiasing Learning and Evaluation, ICML 2016 [PDF] 摘要

273. Constraint Acquisition with Recommendation Queries, IJCAI 2016 [PDF] 摘要

274. Exploring the Context of Locations for Personalized Location Recommendations, IJCAI 2016 [PDF] 摘要

275. Cold-Start Recommendations for Audio News Stories Using Matrix Factorization, IJCAI 2016 [PDF] 摘要

276. A Relaxed Ranking-Based Factor Model for Recommender System from Implicit Feedback, IJCAI 2016 [PDF] 摘要

277. Constrained Preference Embedding for Item Recommendation, IJCAI 2016 [PDF] 摘要

278. Improving Top-N Recommendation with Heterogeneous Loss, IJCAI 2016 [PDF] 摘要

279. Hashtag Recommendation Using Attention-Based Convolutional Neural Network, IJCAI 2016 [PDF] 摘要

280. Generating Recommendation Evidence Using Translation Model, IJCAI 2016 [PDF] 摘要

281. Latent Contextual Bandits and their Application to Personalized Recommendations for New Users, IJCAI 2016 [PDF] 摘要

282. Item Recommendation for Emerging Online Businesses, IJCAI 2016 [PDF] 摘要

283. Collaborative Evolution for User Profiling in Recommender Systems, IJCAI 2016 [PDF] 摘要

284. A Framework for Recommending Relevant and Diverse Items, IJCAI 2016 [PDF] 摘要

285. Matrix Factorization+ for Movie Recommendation, IJCAI 2016 [PDF] 摘要

286. Adaptive Sequential Recommendation Using Context Trees, IJCAI 2016 [PDF] 摘要

287. PARecommender: A Pattern-Based System for Route Recommendation, IJCAI 2016 [PDF] 摘要

288. Cross-media Event Extraction and Recommendation, NAACL 2016 [PDF] 摘要

289. Collaborative Recurrent Autoencoder: Recommend while Learning to Fill in the Blanks, NeurIPS 2016 [PDF] 摘要

290. Deconvolving Feedback Loops in Recommender Systems, NeurIPS 2016 [PDF] 摘要

291. A Personalized Interest-Forgetting Markov Model for Recommendations, AAAI 2015 [PDF] 摘要

292. On Information Coverage for Location Category Based Point-of-Interest Recommendation, AAAI 2015 [PDF] 摘要

293. COT: Contextual Operating Tensor for Context-Aware Recommender Systems, AAAI 2015 [PDF] 摘要

294. Content-Based Collaborative Filtering for News Topic Recommendation, AAAI 2015 [PDF] 摘要

295. Recommending Positive Links in Signed Social Networks by Optimizing a Generalized AUC, AAAI 2015 [PDF] 摘要

296. Are Features Equally Representative? A Feature-Centric Recommendation, AAAI 2015 [PDF] 摘要

297. Personalized Tag Recommendation through Nonlinear Tensor Factorization Using Gaussian Kernel, AAAI 2015 [PDF] 摘要

298. Content-Aware Point of Interest Recommendation on Location-Based Social Networks, AAAI 2015 [PDF] 摘要

299. Finding a Collective Set of Items: From Proportional Multirepresentation to Group Recommendation, AAAI 2015 [PDF] 摘要

300. A Neural Probabilistic Model for Context Based Citation Recommendation, AAAI 2015 [PDF] 摘要

301. Learning to Recommend Quotes for Writing, AAAI 2015 [PDF] 摘要

302. Relational Stacked Denoising Autoencoder for Tag Recommendation, AAAI 2015 [PDF] 摘要

303. Coupled Collaborative Filtering for Context-aware Recommendation, AAAI 2015 [PDF] 摘要

304. Improving Cross-Domain Recommendation through Probabilistic Cluster-Level Latent Factor Model, AAAI 2015 [PDF] 摘要

305. VecLP: A Realtime Video Recommendation System for Live TV Programs, AAAI 2015 [PDF] 摘要

306. Hashtag Recommendation Using Dirichlet Process Mixture Models Incorporating Types of Hashtags, EMNLP 2015 [PDF] 摘要

307. LDTM: A Latent Document Type Model for Cumulative Citation Recommendation, EMNLP 2015 [PDF] 摘要

308. Towards City-Scale Mobile Crowdsourcing: Task Recommendations under Trajectory Uncertainties, IJCAI 2015 [PDF] 摘要

309. Optimal Greedy Diversity for Recommendation, IJCAI 2015 [PDF] 摘要

310. Music Recommenders: User Evaluation Without Real Users?, IJCAI 2015 [PDF] 摘要

311. A Synthetic Approach for Recommendation: Combining Ratings, Social Relations, and Reviews, IJCAI 2015 [PDF] 摘要

312. Personalized Tour Recommendation Based on User Interests and Points of Interest Visit Durations, IJCAI 2015 [PDF] 摘要

313. Modeling Users' Dynamic Preference for Personalized Recommendation, IJCAI 2015 [PDF] 摘要

314. A Boosting Algorithm for Item Recommendation with Implicit Feedback, IJCAI 2015 [PDF] 摘要

315. Personalized Ad Recommendation Systems for Life-Time Value Optimization with Guarantees, IJCAI 2015 [PDF] 摘要

316. Exploring Implicit Hierarchical Structures for Recommender Systems, IJCAI 2015 [PDF] 摘要

317. Recommendation Algorithms for Optimizing Hit Rate, User Satisfaction and Website Revenue, IJCAI 2015 [PDF] 摘要

318. Personalized Ranking Metric Embedding for Next New POI Recommendation, IJCAI 2015 [PDF] 摘要

319. Tackling Data Sparseness in Recommendation using Social Media based Topic Hierarchy Modeling, IJCAI 2015 [PDF] 摘要

320. A Space Alignment Method for Cold-Start TV Show Recommendations, IJCAI 2015 [PDF] 摘要

321. Ice-Breaking: Mitigating Cold-Start Recommendation Problem by Rating Comparison, IJCAI 2015 [PDF] 摘要

322. Mobile Query Recommendation via Tensor Function Learning, IJCAI 2015 [PDF] 摘要

323. Measuring and Recommending Time-Sensitive Routes from Location-based Data, IJCAI 2015 [PDF] 摘要

324. Adapting to User Preference Changes in Interactive Recommendation, IJCAI 2015 [PDF] 摘要

325. A Distributed Platform to Ease the Development of Recommendation Algorithms on Large-Scale Graphs, IJCAI 2015 [PDF] 摘要

326. Rational Architecture = Architecture from a Recommender Perspective, IJCAI 2015 [PDF] 摘要

327. Efficient Thompson Sampling for Online Matrix-Factorization Recommendation, NeurIPS 2015 [PDF] 摘要

328. Time-Sensitive Recommendation From Recurrent User Activities, NeurIPS 2015 [PDF] 摘要

329. TopicMF: Simultaneously Exploiting Ratings and Reviews for Recommendation, AAAI 2014 [PDF] 摘要

330. Context-Aware Collaborative Topic Regression with Social Matrix Factorization for Recommender Systems, AAAI 2014 [PDF] 摘要

331. Leveraging Decomposed Trust in Probabilistic Matrix Factorization for Effective Recommendation, AAAI 2014 [PDF] 摘要

332. Combining Heterogenous Social and Geographical Information for Event Recommendation, AAAI 2014 [PDF] 摘要

333. Who Also Likes It? Generating the Most Persuasive Social Explanations in Recommender Systems, AAAI 2014 [PDF] 摘要

334. Recommendation by Mining Multiple User Behaviors with Group Sparsity, AAAI 2014 [PDF] 摘要

335. Signals in the Silence: Models of Implicit Feedback in a Recommendation System for Crowdsourcing, AAAI 2014 [PDF] 摘要

336. Deep Modeling of Group Preferences for Group-Based Recommendation, AAAI 2014 [PDF] 摘要

337. Evaluation and Deployment of a People-to-People Recommender in Online Dating, AAAI 2014 [PDF] 摘要

338. Deploying CommunityCommands: A Software Command Recommender System Case Study, AAAI 2014 [PDF] 摘要

339. Event Recommendation in Event-Based Social Networks, AAAI 2014 [PDF] 摘要

340. Citation Resolution: A method for evaluating context-based citation recommendation systems, ACL 2014 [PDF] 摘要

341. Time-aware Personalized Hashtag Recommendation on Social Media, COLING 2014 [PDF] 摘要

342. Collaborative Topic Regression with Multiple Graphs Factorization for Recommendation in Social Media, COLING 2014 [PDF] 摘要

343. Enforcing Topic Diversity in a Document Recommender for Conversations, COLING 2014 [PDF] 摘要

344. Controlling privacy in recommender systems, NeurIPS 2014 [PDF] 摘要

345. Content-based recommendations with Poisson factorization, NeurIPS 2014 [PDF] 摘要

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