ML Anthology

Cohen, William W.

86 publications

NeurIPS 2024 Stratified Prediction-Powered Inference for Effective Hybrid Evaluation of Language Models Adam Fisch, Joshua Maynez, R. Alex Hofer, Bhuwan Dhingra, Amir Globerson, William W. Cohen
NeurIPS 2024 VLM Agents Generate Their Own Memories: Distilling Experience into Embodied Programs of Thought Gabriel Sarch, Lawrence Jang, Michael J. Tarr, William W. Cohen, Kenneth Marino, Katerina Fragkiadaki
ICML 2023 Pre-Computed Memory or On-the-Fly Encoding? a Hybrid Approach to Retrieval Augmentation Makes the Most of Your Compute Michiel De Jong, Yury Zemlyanskiy, Nicholas Fitzgerald, Joshua Ainslie, Sumit Sanghai, Fei Sha, William W. Cohen
TMLR 2023 Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks Wenhu Chen, Xueguang Ma, Xinyi Wang, William W. Cohen
AAAI 2023 QA Is the New KR: Question-Answer Pairs as Knowledge Bases William W. Cohen, Wenhu Chen, Michiel de Jong, Nitish Gupta, Alessandro Presta, Pat Verga, John Wieting
ICLR 2023 Re-Imagen: Retrieval-Augmented Text-to-Image Generator Wenhu Chen, Hexiang Hu, Chitwan Saharia, William W. Cohen
ICLR 2023 Scenario-Based Question Answering with Interacting Contextual Properties Haitian Sun, William W. Cohen, Ruslan Salakhutdinov
NeurIPS 2023 Subject-Driven Text-to-Image Generation via Apprenticeship Learning Wenhu Chen, Hexiang Hu, Yandong Li, Nataniel Ruiz, Xuhui Jia, Ming-Wei Chang, William W. Cohen
AAAI 2022 Explain, Edit, and Understand: Rethinking User Study Design for Evaluating Model Explanations Siddhant Arora, Danish Pruthi, Norman M. Sadeh, William W. Cohen, Zachary C. Lipton, Graham Neubig
ICLR 2022 Mention Memory: Incorporating Textual Knowledge into Transformers Through Entity Mention Attention Michiel de Jong, Yury Zemlyanskiy, Nicholas FitzGerald, Fei Sha, William W. Cohen
NeurIPS 2022 Transformer Memory as a Differentiable Search Index Yi Tay, Vinh Tran, Mostafa Dehghani, Jianmo Ni, Dara Bahri, Harsh Mehta, Zhen Qin, Kai Hui, Zhe Zhao, Jai Gupta, Tal Schuster, William W. Cohen, Donald Metzler
ICLR 2021 Open Question Answering over Tables and Text Wenhu Chen, Ming-Wei Chang, Eva Schlinger, William Yang Wang, William W. Cohen
ICML 2021 Reasoning over Virtual Knowledge Bases with Open Predicate Relations Haitian Sun, Patrick Verga, Bhuwan Dhingra, Ruslan Salakhutdinov, William W Cohen
AAAI 2021 What's the Best Place for an AI Conference, Vancouver or _______: Why Completing Comparative Questions Is Difficult Avishai Zagoury, Einat Minkov, Idan Szpektor, William W. Cohen
ICLR 2020 Differentiable Reasoning over a Virtual Knowledge Base Bhuwan Dhingra, Manzil Zaheer, Vidhisha Balachandran, Graham Neubig, Ruslan Salakhutdinov, William W. Cohen
NeurIPS 2020 Faithful Embeddings for Knowledge Base Queries Haitian Sun, Andrew Arnold, Tania Bedrax Weiss, Fernando Pereira, William W. Cohen
ICLR 2020 Scalable Neural Methods for Reasoning with a Symbolic Knowledge Base William W. Cohen, Haitian Sun, R. Alex Hofer, Matthew Siegler
JAIR 2020 TensorLog: A Probabilistic Database Implemented Using Deep-Learning Infrastructure William W. Cohen, Fan Yang, Kathryn Mazaitis
NeurIPS 2019 Game Design for Eliciting Distinguishable Behavior Fan Yang, Liu Leqi, Yifan Wu, Zachary Lipton, Pradeep K Ravikumar, Tom M. Mitchell, William W. Cohen
ICLR 2018 Breaking the SoftMax Bottleneck: A High-Rank RNN Language Model Zhilin Yang, Zihang Dai, Ruslan Salakhutdinov, William W. Cohen
NeurIPS 2018 GLoMo: Unsupervised Learning of Transferable Relational Graphs Zhilin Yang, Jake Zhao, Bhuwan Dhingra, Kaiming He, William W. Cohen, Ruslan Salakhutdinov, Yann LeCun
NeurIPS 2018 Semi-Supervised Learning with Declaratively Specified Entropy Constraints Haitian Sun, William W. Cohen, Lidong Bing
AAAI 2017 Bootstrapping Distantly Supervised IE Using Joint Learning and Small Well-Structured Corpora Lidong Bing, Bhuwan Dhingra, Kathryn Mazaitis, Jong Hyuk Park, William W. Cohen
NeurIPS 2017 Differentiable Learning of Logical Rules for Knowledge Base Reasoning Fan Yang, Zhilin Yang, William W. Cohen
NeurIPS 2017 Good Semi-Supervised Learning That Requires a Bad GAN Zihang Dai, Zhilin Yang, Fan Yang, William W. Cohen, Ruslan Salakhutdinov
ICLR 2017 Transfer Learning for Sequence Tagging with Hierarchical Recurrent Networks Zhilin Yang, Ruslan Salakhutdinov, William W. Cohen
IJCAI 2017 Using Graphs of Classifiers to Impose Declarative Constraints on Semi-Supervised Learning Lidong Bing, William W. Cohen, Bhuwan Dhingra
ICLR 2017 Words or Characters? Fine-Grained Gating for Reading Comprehension Zhilin Yang, Bhuwan Dhingra, Ye Yuan, Junjie Hu, William W. Cohen, Ruslan Salakhutdinov
AAAI 2016 Distant IE by Bootstrapping Using Lists and Document Structure Lidong Bing, Mingyang Ling, Richard C. Wang, William W. Cohen
IJCAI 2016 Learning First-Order Logic Embeddings via Matrix Factorization William Yang Wang, William W. Cohen
IJCAI 2016 Multi-Modal Bayesian Embeddings for Learning Social Knowledge Graphs Zhilin Yang, Jie Tang, William W. Cohen
NeurIPS 2016 Review Networks for Caption Generation Zhilin Yang, Ye Yuan, Yuexin Wu, William W. Cohen, Ruslan Salakhutdinov
IJCAI 2015 A Soft Version of Predicate Invention Based on Structured Sparsity William Yang Wang, Kathryn Mazaitis, William W. Cohen
MLJ 2015 Efficient Inference and Learning in a Large Knowledge Base - Reasoning with Extracted Information Using a Locally Groundable First-Order Probabilistic Logic William Yang Wang, Kathryn Mazaitis, Ni Lao, William W. Cohen
AAAI 2015 Never-Ending Learning Tom M. Mitchell, William W. Cohen, Estevam R. Hruschka Jr., Partha Pratim Talukdar, Justin Betteridge, Andrew Carlson, Bhavana Dalvi Mishra, Matthew Gardner, Bryan Kisiel, Jayant Krishnamurthy, Ni Lao, Kathryn Mazaitis, Thahir Mohamed, Ndapandula Nakashole, Emmanouil A. Platanios, Alan Ritter, Mehdi Samadi, Burr Settles, Richard C. Wang, Derry Wijaya, Abhinav Gupta, Xinlei Chen, Abulhair Saparov, Malcolm Greaves, Joel Welling
AISTATS 2014 Scaling Graph-Based Semi Supervised Learning to Large Number of Labels Using Count-Min Sketch Partha Pratim Talukdar, William W. Cohen
ECML-PKDD 2013 Exploratory Learning Bhavana Bharat Dalvi, William W. Cohen, Jamie Callan
ECML-PKDD 2013 From Topic Models to Semi-Supervised Learning: Biasing Mixed-Membership Models to Exploit Topic-Indicative Features in Entity Clustering Ramnath Balasubramanyan, Bhavana Bharat Dalvi, William W. Cohen
ECML-PKDD 2012 Learning to Perceive Two-Dimensional Displays Using Probabilistic Grammars Nan Li, William W. Cohen, Kenneth R. Koedinger
NeurIPS 2010 Efficient Relational Learning with Hidden Variable Detection Ni Lao, Jun Zhu, Liu Liu, Yandong Liu, William W. Cohen
AAAI 2010 Integrating Transfer Learning in Synthetic Student Nan Li, William W. Cohen, Kenneth R. Koedinger
ICML 2010 Power Iteration Clustering Frank Lin, William W. Cohen
MLJ 2010 Relational Retrieval Using a Combination of Path-Constrained Random Walks Ni Lao, William W. Cohen
ICML 2008 Machine Learning, Proceedings of the Twenty-Fifth International Conference (ICML 2008), Helsinki, Finland, June 5-9, 2008 William W. Cohen, Andrew McCallum, Sam T. Roweis
ICML 2006 Machine Learning, Proceedings of the Twenty-Third International Conference (ICML 2006), Pittsburgh, Pennsylvania, USA, June 25-29, 2006 William W. Cohen, Andrew W. Moore
IJCAI 2005 Learning to Understand Web Site Update Requests William W. Cohen, Einat Minkov, Anthony Tomasic
IJCAI 2005 Stacked Sequential Learning William W. Cohen, Vitor Rocha de Carvalho
UAI 2004 A Hierarchical Graphical Model for Record Linkage Pradeep Ravikumar, William W. Cohen
NeurIPS 2004 Semi-Markov Conditional Random Fields for Information Extraction Sunita Sarawagi, William W. Cohen
NeurIPS 2002 Improving a Page Classifier with Anchor Extraction and Link Analysis William W. Cohen
JAIR 2001 Technical Paper Recommendation: A Study in Combining Multiple Information Sources Chumki Basu, Haym Hirsh, William W. Cohen, Craig G. Nevill-Manning
ICML 2000 Automatically Extracting Features for Concept Learning from the Web William W. Cohen
ALT 2000 Extracting Information from the Web for Concept Learning and Collaborative Filtering William W. Cohen
MLJ 2000 Special Issue of Machine Learning on Information Retrieval - Introduction Jaime G. Carbonell, Yiming Yang, William W. Cohen
AAAI 1999 A Simple, Fast, and Effictive Rule Learner William W. Cohen, Yoram Singer
JAIR 1999 Learning to Order Things William W. Cohen, Robert E. Schapire, Yoram Singer
AAAI 1999 Recognizing Structure in Web Pages Using Similarity Queries William W. Cohen
MLJ 1998 Hardness Results for Learning First-Order Representations and Programming by Demonstration William W. Cohen
AAAI 1998 Recommendation as Classification: Using Social and Content-Based Information in Recommendation Chumki Basu, Haym Hirsh, William W. Cohen
ICML 1997 A Comparative Study of Inductive Logic Programming Methods for Software Fault Prediction William W. Cohen, Premkumar T. Devanbu
NeurIPS 1997 Learning to Order Things William W. Cohen, Robert E. Schapire, Yoram Singer
AAAI 1997 Transferring and Retraining Learned Information Filters William W. Cohen, Daniel Kudenko
AAAI 1996 Learning Trees and Rules with Set-Valued Features William W. Cohen
COLT 1996 The Dual DFA Learning Problem: Hardness Results for Programming by Demonstration and Learning First-Order Representations (Extended Abstract) William W. Cohen
COLT 1995 Corrigendum for "Learnability of Description Logics" William W. Cohen, Haym Hirsh
ICML 1995 Fast Effective Rule Induction William W. Cohen
JAIR 1995 Pac-Learning Recursive Logic Programs: Efficient Algorithms William W. Cohen
JAIR 1995 Pac-Learning Recursive Logic Programs: Negative Results William W. Cohen
ICML 1995 Text Categorization and Relational Learning William W. Cohen
MLJ 1994 Incremental Abductive EBL William W. Cohen
ICML 1994 Machine Learning, Proceedings of the Eleventh International Conference, Rutgers University, New Brunswick, NJ, USA, July 10-13, 1994 William W. Cohen, Haym Hirsh
AAAI 1994 Pac-Learning Nondeterminate Clauses William W. Cohen
AAAI 1994 Recovering Software Specifications with Inductive Logic Programming William W. Cohen
MLJ 1994 The Learnability of Description Logics with Equality Constraints William W. Cohen, Haym Hirsh
MLJ 1993 Creating a Memory of Casual Relationships (Book Review) William W. Cohen
AAAI 1993 Cryptographic Limitations on Learning One-Clause Logic Programs William W. Cohen
IJCAI 1993 Efficient Pruning Methods for Separate-and-Conquer Rule Learning Systems William W. Cohen
AAAI 1993 Pac-Learning a Restricted Class of Recursive Logic Programs William W. Cohen
MLJ 1992 Abductive Explanation-Based Learning: A Solution to the Multiple Inconsistent Explanation Problem William W. Cohen
AAAI 1992 Computing Least Common Subsumers in Description Logics William W. Cohen, Alexander Borgida, Haym Hirsh
COLT 1992 Learnability of Description Logics William W. Cohen, Haym Hirsh
ICML 1991 The Generality of Overgenerality William W. Cohen
ICML 1990 An Analysis of Representation Shift in Concept Learning William W. Cohen
ICML 1990 Learning Approximate Control Rules of High Utility William W. Cohen
AAAI 1990 Learning from Textbook Knowledge: A Case Study William W. Cohen
ICML 1988 Generalizing Number and Learning from Multiple Examples in Explanation Based Learning William W. Cohen