William W. Cohen's Papers: Deep Learning

  1. Avishai Zagoury, Einat Minkov, Idan Szpektor, William W. Cohen (2021): What's the best place for an AI conference, Vancouver or ______: Why completing comparative questions is difficult in AAAI2021.
  2. Haitian Sun, Pat Verga, Bhuwan Dhingra, Ruslan Salakhutdinov, William W. Cohen (2021): Reasoning Over Virtual Knowledge Bases With Open Predicate Relations in preparation.
  3. Wenhu Chen, Ming-Wei Chang, Eva Schlinger, William Wang, William W. Cohen (2021): Open Question Answering Over Tables and Text in ICLR2021.
  4. Danish Pruthi, Bhuwan Dhingra, Livio Baldini Soares, Michael Collins, Zachary C. Lipton, Graham Neubig, William W. Cohen (2020): Evaluating Explanations: How much do explanations from the teacher aid students? in preparation.
  5. Bill Yuchen Lin, Haitian Sun, Bhuwan Dhingra, Manzil Zaheer, Xiang Ren, William W. Cohen (2020): Differentiable Open-Ended Commonsense Reasoning in preparation.
  6. Haitian Sun, Andrew O. Arnold, Tania Bedrax-Weiss, Fernando Pereira, William W. Cohen (2020): Faithful Embeddings for Knowledge Base Queries in NeurIPS2020.
  7. Pat Verga, Haitian Sun, Livio Baldini Soares, and William W. Cohen (2020): Facts as Experts: Adaptable and Interpretable Neural Memory over Symbolic Knowledge in preparation.
  8. William W. Cohen, Fan Yang, and Kathryn Rivard Mazaitis (2020): TensorLog: A Probabilistic Database Implemented Using Deep-Learning Infrastructure in JAIR.
  9. William W. Cohen, Haitian Sun, R. Alex Hofer, Matthew Siegler (2020): Scalable Neural Methods for Reasoning With a Symbolic Knowledge Base in ICLR-2020.
  10. Bhuwan Dhingra, Manzil Zaheer, Vidhisha Balachandran, Graham Neubig, Ruslan Salakhutdinov, William W. Cohen (2020): Differentiable Reasoning over a Virtual Knowledge Base in ICLR-2020.
  11. Yifeng Tao, Chunhui Cai, William W. Cohen, Xinghua Lu (2020): From genome to phenome: Predicting multiple cancer phenotypes based on somatic genomic alternations bia the genomic impact transformer in PSB-2020.
  12. Andrew O. Arnold, William W. Cohen (2019): Instance-based Transfer Learning for Multilingual Deep Retrieval in arxiv.
  13. Qiao Jin, Bhuwan Dhingra, Zhengping Liu, William W Cohen, and Xinghua Lu (2019): PubMedQA: A Dataset for Biomedical Research Question Answering in EMNLP-2019.
  14. Bhuwan Dhingra, Manaal Faruqui, Ankur Parikh, Ming-Wei Chang, Dipanjan Das, William W. Cohen (2019): Handling Divergent Reference Texts when Evaluating Table-to-Text Generation in ACL-2019.
  15. William W. Cohen, Haitian Sun, Alex Hofer, Matthew Siegler (2019): Differentiable Representations For Multihop Inference Rules in arxiv.
  16. William W. Cohen, Matthew Siegler, Alex Hofer (2019): Neural Query Language: A Knowledge Base Query Language for Tensorflow in arxiv.
  17. Haitian Sun, Tania Bedrax-Weiss, William W. Cohen (2019): PullNet: Open Domain Question Answering with Iterative Retrieval on Knowledge Bases and Text in EMNLP-2019.
  18. Qiao Jin, Bhuwan Dhingra, William W. Cohen, Xinghua Lu (2019): Probing Biomedical Embeddings from Language Models in preparation.
  19. Haitian Sun, William W. Cohen, Lidong Bing (2018): Semi-Supervised Learning with Declaratively Specified Entropy Constraints in NIPS-2018.
  20. Zhilin Yang, Jake (Junbo) Zhao, Bhuwan Dhingra, Kaiming He, William W. Cohen, Ruslan Salakhutdinov, Yann LeCun (2018): GLoMo: Unsupervisedly Learned Relational Graphs as Transferable Representations in NIPS-2018.
  21. Qiao Jin, Bhuwan Dhingra, William W. Cohen, and Xinghua Lu (2018): AttentionMeSH: Simple, Effective and Interpretable Automatic MeSH Indexer in BioASQ-2018.
  22. Zhilin Yang, Peng Qi, Saizheng Zhang, Yoshua Bengio, William W. Cohen, Ruslan Salakhutdinov, Christopher D. Manning (2018): HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering in EMNLP-2018.
  23. Haitian Sun, Bhuwan Dhingra, Manzil Zaheer, Kathryn Mazaitis, Ruslan Salakhutdinov, and William W. Cohen (2018): Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text in EMNLP-2018.
  24. Bhuwan Dhingra, Qiao Jin, Zhilin Yang, William W. Cohen, Ruslan Salakhutdinov (2018): Neural Models for Reasoning over Multiple Mentions using Coreference in NAACL-2018.
  25. Vidhisha Balachandran and Dheeraj Rajagopal and , Rose Catherine Kanjirathinkal and William W. Cohen (2018): Learning to Define Terms in the Software Domain in W-NUT 2018.
  26. Fan Yang, Jiazhong Nie, William W. Cohen, Ni Lao (2017): Learning to Organize Knowledge with N-Gram Machines in arxiv.org/abs/1711.06744.
  27. Zhilin Yang, Zihang Dai, Ruslan Salakhutdinov, and William W. Cohen (2017): Breaking the Softmax Bottleneck: A High-Rank RNN Language Model in arxiv.org 1711.03953.
  28. Fan Yang, Zhilin Yang, William W. Cohen (2017): Differentiable Learning of Logical Rules for Knowledge Base Reasoning in NIPS-2017.
  29. Zihang Dai, Zhilin Yang, William W. Cohen, and Ruslan Salakhutdinov (2017): Good Semi-supervised Learning that Requires a Bad GAN in NIPS-2017.
  30. William W. Cohen and Fan Yang (2017): TensorLog: Deep Learning Meets Probabilistic Databases in arxiv.org 1707.05390.
  31. Rose Catherine, Kathryn Mazaitis, Maxine Eskenazi, William W. Cohen (2017): Explainable Entity-based Recommendations with Knowledge Graphs (poster paper) in RecSys-2017.
  32. Bhuwan Dhingra, Kathryn Mazaitis, William W. Cohen (2017): Quasar: Datasets for Question Answering by Search and Reading in arxiv 1707.03904.
  33. Bhuwan Dhingra, Zhilin Yang, William W. Cohen, and Ruslan Salakhutdinov (2017): Linguistic Knowledge as Memory for Recurrent Neural Networks in arxiv 1703.02620.
  34. Bhuwan Dhingra, Hanxiao Liu, Ruslan Salakhutdinov, and William W. Cohen (2017): A Comparative Study of Word Embeddings for Reading Comprehension in arxiv 1703.00993.
  35. Rose Catherine, William W. Cohen (2017): TransNets: Learning to Transform for Recommendation in RecSys-2017.
  36. Bhuwan Dhingra, Hanxiao Liu, William W. Cohen, and Ruslan Salakhutdinov (2017): Gated-Attention Readers for Text Comprehension in ACL-2017.
  37. Zhilin Yang, Junjie Hu, Ruslan Salakhutdinov, William W. Cohen (2017): Semi-Supervised QA with Generative Domain-Adaptive Nets in ACL-2017.
  38. Zhilin Yang, Bhuwan Dhingra, Ye Yuan, Junjie Hu, William W. Cohen, Ruslan Salakhutdinov (2017): Words or Characters? Fine-grained Gating for Reading Comprehension in ICLR 2017.
  39. Zhilin Yang, Ruslan Salakhutdinov, William W. Cohen (2017): Transfer Learning for Sequence Tagging with Hierarchical Recurrent Networks in ICLR 2017.
  40. William W. Cohen (2016): TensorLog: A Differentiable Deductive Database in arxiv.org 1605.06523.
  41. Zhilin Yang, Ye Yuan, Yuexin Wu, Ruslan Salakhutdinov, William W. Cohen (2016): Encode, Review, and Decode: Reviewer Module for Caption Generation in NIPS-2016.
  42. Bhuwan Dhingra, Zhong Zhou, Dylan Fitzpatrick, Michael Muehl and William W. Cohen (2016): Tweet2Vec: Character-Based Distributed Representations for Social Media in ACL-2016 (short paper).
  43. William Yang Wang and William W. Cohen (2016): Learning First-Order Logic Embeddings via Matrix Factorization in IJCAI-2016.
  44. Zhilin Yang, Jei Tang, and William W. Cohen (2016): Multi-Modal Bayesian Embeddings for Learning Social Knowledge Graphs in IJCAI-2016.
  45. Zhilin Yang, Ruslan Salakhutdinov, William Cohen (2016): Revisiting Semi-Supervised Learning with Graph Embeddings in ICML-2016.
  46. Zhilin Yang, Ruslan Salakhutdinov, William Cohen (2016): Multi-Task Cross-Lingual Sequence Tagging from Scratch in arxiv 1603.06270.

[Selected papers| By topic: Deep Learning| Info Extraction/Reading| Topic Modeling| Learning in Graphs| Matching/Data Integration| Text Categorization| Rule Learning| Explanation-Based Learning| Formal Results| Inductive Logic Programming| Collaborative Filtering| Applications| Intelligent Tutoring| GNAT System| By year: All papers]