Charles Sutton
35 papers · 2005–2024 · 11 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (11) 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (19)
🌍
Conference Polyglot
(11)
🏃
Academic Marathon
(19)
🌈
Renaissance Researcher
(7)
🌱
Topic Pioneer
👑
Triple Crown
🧬
Topic Evolution
👥
Mega-Team
(67)
🏆
Keyword Champion
🏆
Grand Slam
🗃️
Keyword Collector
(124)
⚡
Prolific Year
(5)
🚀
Conference Pioneer
📈
Trend Setter
💎
Century Club
(35)
🔥
Unstoppable
(12)
❓
The Questioner
Conferences
ICML (9)
ICLR (8)
NIPS (6)
AISTATS (3)
JMLR (2)
NAACL (2)
AAAI (1)
ACL (1)
CONLL (1)
EMNLP (1)
IJCAI (1)
Top co-authors
Keywords
program synthesis
(4)
neural network
(4)
large language model
(3)
transfer learning
(3)
variational inference
(2)
column type prediction
(2)
hamiltonian monte carlo
(2)
knowledge base
(2)
markov chain monte carlo
(2)
bayesian inference
(2)
parameter estimation
(1)
probabilistic inference
(1)
belief propagation
(1)
symbolic reasoning
(1)
bayesian nonparametrics
(1)
representation learning
(1)
sequence labeling
(1)
code generation
(1)
few-shot learning
(1)
semantic analysis
(1)
Papers
A Probabilistic Framework for Modular Continual Learning
ICLR 2024
UQE: A Query Engine for Unstructured Databases
NIPS 2024
ExeDec: Execution Decomposition for Compositional Generalization in Neural Program Synthesis
ICLR 2024
NExT: Teaching Large Language Models to Reason about Code Execution
ICML 2024
Can Large Language Models Reason about Program Invariants?
ICML 2023
PaLM: Scaling Language Modeling with Pathways
JMLR 2023
Any-scale Balanced Samplers for Discrete Space
ICLR 2023
Natural Language to Code Generation in Interactive Data Science Notebooks
ACL 2023
CrossBeam: Learning to Search in Bottom-Up Program Synthesis
ICLR 2022
Couplings for Multinomial Hamiltonian Monte Carlo
AISTATS 2021
Latent Programmer: Discrete Latent Codes for Program Synthesis
ICML 2021
SpreadsheetCoder: Formula Prediction from Semi-structured Context
ICML 2021
BUSTLE: Bottom-Up Program Synthesis Through Learning-Guided Exploration
ICLR 2021
Global Relational Models of Source Code
ICLR 2020
Learning to Represent Programs with Property Signatures
ICLR 2020
Generative Ratio Matching Networks
ICLR 2020
Robust Variational Autoencoders for Outlier Detection and Repair of Mixed-Type Data
AISTATS 2020
Incremental Sampling Without Replacement for Sequence Models
ICML 2020
Learning Semantic Annotations for Tabular Data
IJCAI 2019
Variational Russian Roulette for Deep Bayesian Nonparametrics
ICML 2019
ColNet: Embedding the Semantics of Web Tables for Column Type Prediction
AAAI 2019
Deep Dungeons and Dragons: Learning Character-Action Interactions from Role-Playing Game Transcripts
NAACL 2018
HOUDINI: Lifelong Learning as Program Synthesis
NIPS 2018
Learning Continuous Semantic Representations of Symbolic Expressions
ICML 2017
VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning
NIPS 2017
A Convolutional Attention Network for Extreme Summarization of Source Code
ICML 2016
Latent Bayesian melding for integrating individual and population models
NIPS 2015
Semi-Separable Hamiltonian Monte Carlo for Inference in Bayesian Hierarchical Models
NIPS 2014
Signal Aggregate Constraints in Additive Factorial HMMs, with Application to Energy Disaggregation
NIPS 2014
Multiple-source cross-validation
ICML 2013
Inference and Learning in Networks of Queues
AISTATS 2010
Dynamic Conditional Random Fields: Factorized Probabilistic Models for Labeling and Segmenting Sequence Data
JMLR 2007
Reducing Weight Undertraining in Structured Discriminative Learning
NAACL 2006
Composition of Conditional Random Fields for Transfer Learning
EMNLP 2005
Joint Parsing and Semantic Role Labeling
CONLL 2005