← Authors

William W. Cohen

49 papers · 2004–2024 · 11 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (11) 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (52) 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (13) 🧭 Keyword Pioneer πŸƒ Academic Marathon (20) 🌟 Keyword Trendsetter Combo (3) πŸ† Grand Slam 🧬 Topic Evolution πŸ† Keyword Champion πŸ‘‘ Triple Crown πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (107) ⚑ Prolific Year (5) ❓ The Questioner (4) πŸ’Ž Century Club (49) πŸ”₯ Unstoppable (17) πŸ“ˆ Trend Setter

Conferences

NIPS (12) EMNLP (9) ICLR (7) ACL (5) AAAI (3) IJCAI (3) IJCNLP (3) CONLL (2) EACL (2) NAACL (2) ICML (1)

Top co-authors

William Yang Wang (6) Ruslan Salakhutdinov (6) Zhilin Yang (5) Richard C. Wang (5) Wenhu Chen (5) Haitian Sun (4) Ni Lao (4) Michiel De Jong (4) Bhuwan Dhingra (4) Mark Dredze (3)

Keywords

question answering (4) semi-supervised learning (3) knowledge base (3) in-context learning (3) relation extraction (2) question-answer pair (2) language model (2) transfer learning (1) attention mechanism (1) variational inference (1) relational learning (1) knowledge transfer (1) text classification (1) imitation learning (1) knowledge representation (1) feature extraction (1) entity linking (1) information retrieval (1) image captioning (1) game theory (1)

Papers

VLM Agents Generate Their Own Memories: Distilling Experience into Embodied Programs of Thought NIPS 2024
Stratified Prediction-Powered Inference for Effective Hybrid Evaluation of Language Models NIPS 2024
WinoDict: Probing language models for in-context word acquisition EACL 2023
Re-Imagen: Retrieval-Augmented Text-to-Image Generator ICLR 2023
Scenario-based Question Answering with Interacting Contextual Properties ICLR 2023
QA Is the New KR: Question-Answer Pairs as Knowledge Bases AAAI 2023
Pre-computed memory or on-the-fly encoding? A hybrid approach to retrieval augmentation makes the most of your compute ICML 2023
Augmenting Pre-trained Language Models with QA-Memory for Open-Domain Question Answering EACL 2023
Subject-driven Text-to-Image Generation via Apprenticeship Learning NIPS 2023
Mention Memory: incorporating textual knowledge into Transformers through entity mention attention ICLR 2022
Explain, Edit, and Understand: Rethinking User Study Design for Evaluating Model Explanations AAAI 2022
Transformer Memory as a Differentiable Search Index NIPS 2022
What's the Best Place for an AI Conference, Vancouver or _______: Why Completing Comparative Questions is Difficult AAAI 2021
Open Question Answering over Tables and Text ICLR 2021
Faithful Embeddings for Knowledge Base Queries NIPS 2020
Scalable Neural Methods for Reasoning With a Symbolic Knowledge Base ICLR 2020
Differentiable Reasoning over a Virtual Knowledge Base ICLR 2020
Game Design for Eliciting Distinguishable Behavior NIPS 2019
Semi-Supervised Learning with Declaratively Specified Entropy Constraints NIPS 2018
GLoMo: Unsupervised Learning of Transferable Relational Graphs NIPS 2018
Breaking the Softmax Bottleneck: A High-Rank RNN Language Model ICLR 2018
Differentiable Learning of Logical Rules for Knowledge Base Reasoning NIPS 2017
Using Graphs of Classifiers to Impose Declarative Constraints on Semi-supervised Learning IJCAI 2017
Good Semi-supervised Learning That Requires a Bad GAN NIPS 2017
Learning First-Order Logic Embeddings via Matrix Factorization IJCAI 2016
Review Networks for Caption Generation NIPS 2016
KB-LDA: Jointly Learning a Knowledge Base of Hierarchy, Relations, and Facts IJCNLP 2015
Joint Information Extraction and Reasoning: A Scalable Statistical Relational Learning Approach IJCNLP 2015
A Soft Version of Predicate Invention Based on Structured Sparsity IJCAI 2015
Joint Information Extraction and Reasoning: A Scalable Statistical Relational Learning Approach ACL 2015
KB-LDA: Jointly Learning a Knowledge Base of Hierarchy, Relations, and Facts ACL 2015
Dependency Parsing for Weibo: An Efficient Probabilistic Logic Programming Approach EMNLP 2014
What’s in a Domain? Multi-Domain Learning for Multi-Attribute Data NAACL 2013
Natural Language Models for Predicting Programming Comments ACL 2013
Multi-Domain Learning: When Do Domains Matter? CONLL 2012
Reading The Web with Learned Syntactic-Semantic Inference Rules CONLL 2012
Multi-Domain Learning: When Do Domains Matter? EMNLP 2012
Reading The Web with Learned Syntactic-Semantic Inference Rules EMNLP 2012
Random Walk Inference and Learning in A Large Scale Knowledge Base EMNLP 2011
Efficient Relational Learning with Hidden Variable Detection NIPS 2010
Predicting Response to Political Blog Posts with Topic Models NAACL 2009
Automatic Set Instance Extraction using the Web ACL 2009
Automatic Set Instance Extraction using the Web IJCNLP 2009
Character-level Analysis of Semi-Structured Documents for Set Expansion EMNLP 2009
Automatic Set Expansion for List Question Answering EMNLP 2008
Learning Graph Walk Based Similarity Measures for Parsed Text EMNLP 2008
Exploiting Feature Hierarchy for Transfer Learning in Named Entity Recognition ACL 2008
Extracting Personal Names from Email: Applying Named Entity Recognition to Informal Text EMNLP 2005
Learning to Classify Email into β€œSpeech Acts” EMNLP 2004