David Wingate
14 papers · 2005–2025 · 10 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Renaissance Researcher (6) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (12) π£ Hot Topic Early Bird
πΊοΈ
Taxonomy Completionist
(12)
π
Conference Polyglot
(10)
π§
Keyword Pioneer
π
Keyword Trendsetter Combo
(7)
π§¬
Topic Evolution
π
Keyword Champion
π±
Topic Pioneer
ποΈ
Keyword Collector
(77)
π
Century Club
(14)
β
The Questioner
π
Trend Setter
π
Conference Pioneer
Conferences
NIPS (5)
ACL (1)
AISTATS (1)
CORL (1)
EMNLP (1)
ICLR (1)
ICML (1)
IJCAI (1)
JMLR (1)
NAACL (1)
Top co-authors
Keywords
reinforcement learning
(4)
word embedding
(2)
inductive bia
(2)
text generation
(2)
probabilistic programming
(2)
partially observable
(2)
language model
(2)
autoregressive transformer
(1)
symbolic reasoning
(1)
feature learning
(1)
knowledge extraction
(1)
natural language generation
(1)
prompt engineering
(1)
bayesian inference
(1)
sample efficiency
(1)
markov chain monte carlo
(1)
automatic differentiation
(1)
probabilistic modeling
(1)
maximum likelihood
(1)
partially observable domains
(1)
Papers
Features that Make a Difference: Leveraging Gradients for Improved Dictionary Learning
NAACL 2025
Leveraging Large Language Models for Multiple Choice Question Answering
ICLR 2023
Prompt Compression and Contrastive Conditioning for Controllability and Toxicity Reduction in Language Models
EMNLP 2022
An Information-theoretic Approach to Prompt Engineering Without Ground Truth Labels
ACL 2022
Leveraging the Inductive Bias of Large Language Models for Abstract Textual Reasoning
NIPS 2021
Towards Neural Programming Interfaces
NIPS 2020
Harvesting Common-sense Navigational Knowledge for Robotics from Uncurated Text Corpora
CORL 2017
What Can You Do with a Rock? Affordance Extraction via Word Embeddings
IJCAI 2017
A Physics-Based Model Prior for Object-Oriented MDPs
ICML 2014
Lightweight Implementations of Probabilistic Programming Languages Via Transformational Compilation
AISTATS 2011
Nonstandard Interpretations of Probabilistic Programs for Efficient Inference
NIPS 2011
Nonparametric Bayesian Policy Priors for Reinforcement Learning
NIPS 2010
Exponential Family Predictive Representations of State
NIPS 2007
Prioritization Methods for Accelerating MDP Solvers
JMLR 2005