David Wingate
14 papers · 2005–2025 · 10 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (47) π Academic Marathon Β· Ultra π Conference Polyglot Β· Gold π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Topic Pioneer
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Keyword Trendsetter Combo
(6)
π§¬
Topic Evolution
π
Keyword Champion
(2)
π§
Keyword Pioneer
π
Renaissance Researcher
(7)
π
Century Club Β· Bronze
β
The Questioner
π
Conference Pioneer
ποΈ
Keyword Collector
(87)
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Trend Setter
Venues
Top co-authors
Research topics
Artificial Intelligence
(10)
Machine Learning
(9)
Core AI
(8)
Deep Learning
(5)
Natural Language Processing
(5)
Reinforcement Learning
(4)
Optimization & Theory
(4)
Applications
(3)
Bayesian & Probabilistic Β· Artificial Intelligence
(3)
Bayesian & Probabilistic Β· Machine Learning
(3)
Core Methods
(3)
Generation
(3)
Learning Types Β· Machine Learning
(3)
Architectures
(2)
Learning Types Β· Deep Learning
(2)
Keywords
reinforcement learning
(4)
inductive bia
(2)
word embedding
(2)
partially observable
(2)
text generation
(2)
partially observable markov decision process
(2)
probabilistic programming
(2)
language model
(2)
large language model
(2)
few-shot learning
(1)
symbolic reasoning
(1)
knowledge extraction
(1)
natural language generation
(1)
prompt engineering
(1)
feature learning
(1)
bayesian inference
(1)
automatic differentiation
(1)
probabilistic modeling
(1)
sample efficiency
(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
An Information-theoretic Approach to Prompt Engineering Without Ground Truth Labels
ACL 2022
Prompt Compression and Contrastive Conditioning for Controllability and Toxicity Reduction in Language Models
EMNLP 2022
Leveraging the Inductive Bias of Large Language Models for Abstract Textual Reasoning
NeurIPS 2021
Towards Neural Programming Interfaces
NeurIPS 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
NeurIPS 2011
Nonparametric Bayesian Policy Priors for Reinforcement Learning
NeurIPS 2010
Exponential Family Predictive Representations of State
NeurIPS 2007
Prioritization Methods for Accelerating MDP Solvers
JMLR 2005