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Charles Sutton

35 papers · 2005–2024 · 11 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (14) πŸ—ΊοΈ Taxonomy Completionist (58) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (11) πŸƒ Academic Marathon (19) 🌈 Renaissance Researcher (7) 🌱 Topic Pioneer πŸ‘‘ Triple Crown 🧬 Topic Evolution πŸ‘₯ Mega-Team (67) πŸ† Keyword Champion πŸ† Grand Slam πŸ—ƒοΈ Keyword Collector (124) ⚑ Prolific Year (5) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter πŸ’Ž Century Club (35) πŸ”₯ 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

Kensen Shi (8) Pengcheng Yin (6) Hanjun Dai (5) Akash Srivastava (5) David Bieber (4) Rishabh Singh (4) Andrew McCallum (4) Miltiadis Allamanis (3) Kai Xu (3) Lazar Valkov (3)

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