Maxwell I. Nye

Affiliations:
  • Massachusetts Institute of Technology (MIT), Cambridge, MA, USA


According to our database1, Maxwell I. Nye authored at least 15 papers between 2018 and 2023.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Language Modeling with Latent Situations.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Communicating Natural Programs to Humans and Machines.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Show Your Work: Scratchpads for Intermediate Computation with Language Models.
CoRR, 2021

Program Synthesis with Large Language Models.
CoRR, 2021

DreamCoder: bootstrapping inductive program synthesis with wake-sleep library learning.
Proceedings of the PLDI '21: 42nd ACM SIGPLAN International Conference on Programming Language Design and Implementation, 2021

Improving Coherence and Consistency in Neural Sequence Models with Dual-System, Neuro-Symbolic Reasoning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A large-scale benchmark for few-shot program induction and synthesis.
Proceedings of the 38th International Conference on Machine Learning, 2021

Representing Partial Programs with Blended Abstract Semantics.
Proceedings of the 9th International Conference on Learning Representations, 2021

Implicit Representations of Meaning in Neural Language Models.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
DreamCoder: Growing generalizable, interpretable knowledge with wake-sleep Bayesian program learning.
CoRR, 2020

Learning Compositional Rules via Neural Program Synthesis.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
Write, Execute, Assess: Program Synthesis with a REPL.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Learning to Infer Program Sketches.
Proceedings of the 36th International Conference on Machine Learning, 2019

2018
The Variational Homoencoder: Learning to learn high capacity generative models from few examples.
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Are Efficient Deep Representations Learnable?
Proceedings of the 6th International Conference on Learning Representations, 2018


  Loading...