William W. Cohen
49 papers · 2004–2024 · 11 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (11) π Academic Marathon (20) π§ Keyword Pioneer π Interdisciplinary Bridge π Cross-Pollinator (13)
π
Cross-Pollinator
(13)
π§
Keyword Pioneer
π
Academic Marathon
(20)
π
Keyword Trendsetter Combo
(3)
π
Grand Slam
π§¬
Topic Evolution
π
Keyword Champion
π
Triple Crown
π
Conference Pioneer
ποΈ
Keyword Collector
(107)
β‘
Prolific Year
(5)
β
The Questioner
(4)
π
Century Club
(49)
π₯
Unstoppable
(17)
π
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
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
Whatβs 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 βSpeech Actsβ
EMNLP 2004