William W. Cohen's Papers: Deep Learning

  1. 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 arxiv.org/abs/1806.05662.
  2. Bhuwan Dhingra, Qiao Jin, Zhilin Yang, William W. Cohen, Ruslan Salakhutdinov (2018): Neural Models for Reasoning over Multiple Mentions using Coreference in NAACL.
  3. Fan Yang, Jiazhong Nie, William W. Cohen, Ni Lao (2017): Learning to Organize Knowledge with N-Gram Machines in arxiv.org/abs/1711.06744.
  4. 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.
  5. Fan Yang, Zhilin Yang, William W. Cohen (2017): Differentiable Learning of Logical Rules for Knowledge Base Reasoning in NIPS-2017.
  6. Zihang Dai, Zhilin Yang, William W. Cohen, and Ruslan Salakhutdinov (2017): Good Semi-supervised Learning that Requires a Bad GAN in NIPS-2017.
  7. William W. Cohen and Fan Yang (2017): TensorLog: Deep Learning Meets Probabilistic Databases in arxiv.org 1707.05390.
  8. Rose Catherine, Kathryn Mazaitis, Maxine Eskenazi, William W. Cohen (2017): Explainable Entity-based Recommendations with Knowledge Graphs (poster paper) in RecSys-2017.
  9. Bhuwan Dhingra, Kathryn Mazaitis, William W. Cohen (2017): Quasar: Datasets for Question Answering by Search and Reading in arxiv 1707.03904.
  10. Bhuwan Dhingra, Zhilin Yang, William W. Cohen, and Ruslan Salakhutdinov (2017): Linguistic Knowledge as Memory for Recurrent Neural Networks in arxiv 1703.02620.
  11. Bhuwan Dhingra, Hanxiao Liu, Ruslan Salakhutdinov, and William W. Cohen (2017): A Comparative Study of Word Embeddings for Reading Comprehension in arxiv 1703.00993.
  12. Rose Catherine, William W. Cohen (2017): TransNets: Learning to Transform for Recommendation in RecSys-2017.
  13. Bhuwan Dhingra, Hanxiao Liu, William W. Cohen, and Ruslan Salakhutdinov (2017): Gated-Attention Readers for Text Comprehension in ACL-2017.
  14. Zhilin Yang, Junjie Hu, Ruslan Salakhutdinov, William W. Cohen (2017): Semi-Supervised QA with Generative Domain-Adaptive Nets in ACL-2017.
  15. 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.
  16. Zhilin Yang, Ruslan Salakhutdinov, William W. Cohen (2017): Transfer Learning for Sequence Tagging with Hierarchical Recurrent Networks in ICLR 2017.
  17. William W. Cohen (2016): TensorLog: A Differentiable Deductive Database in arxiv.org 1605.06523.
  18. Zhilin Yang, Ye Yuan, Yuexin Wu, Ruslan Salakhutdinov, William W. Cohen (2016): Encode, Review, and Decode: Reviewer Module for Caption Generation in NIPS-2016.
  19. 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).
  20. William Yang Wang and William W. Cohen (2016): Learning First-Order Logic Embeddings via Matrix Factorization in IJCAI-2016.
  21. Zhilin Yang, Jei Tang, and William W. Cohen (2016): Multi-Modal Bayesian Embeddings for Learning Social Knowledge Graphs in IJCAI-2016.
  22. Zhilin Yang, Ruslan Salakhutdinov, William Cohen (2016): Revisiting Semi-Supervised Learning with Graph Embeddings in ICML-2016.
  23. 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]