Maxwell I. Nye

26 papers A* 8A 1B 1Journal 13Unranked 3

Year	Rank	Type	Title / Venue / Authors
2023	—	`conf`	Language Modeling with Latent Situations. ACL (Findings) Belinda Z. Li, Maxwell I. Nye, Jacob Andreas
2022	A*	`conf`	Communicating Natural Programs to Humans and Machines. NeurIPS Samuel Acquaviva, Yewen Pu, Marta Kryven, Theodoros Sechopoulos, Catherine Wong, Gabrielle E. Ecanow, Maxwell I. Nye, Michael Henry Tessler, Josh Tenenbaum
2022	J	`jnl`	Language Modeling with Latent Situations. CoRR Belinda Z. Li, Maxwell I. Nye, Jacob Andreas
2021	A*	`conf`	A large-scale benchmark for few-shot program induction and synthesis. ICML Ferran Alet, Javier Lopez-Contreras, James Koppel, Maxwell I. Nye, Armando Solar-Lezama, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Joshua B. Tenenbaum
2021	J	`jnl`	Communicating Natural Programs to Humans and Machines. CoRR Samuel Acquaviva, Yewen Pu, Marta Kryven, Catherine Wong, Gabrielle E. Ecanow, Maxwell I. Nye, Theodoros Sechopoulos, Michael Henry Tessler, Joshua B. Tenenbaum
2021	A*	`conf`	DreamCoder: bootstrapping inductive program synthesis with wake-sleep library learning. PLDI Kevin Ellis, Catherine Wong, Maxwell I. Nye, Mathias Sablé-Meyer, Lucas Morales, Luke B. Hewitt, Luc Cary, Armando Solar-Lezama, Joshua B. Tenenbaum
2021	—	`conf`	Implicit Representations of Meaning in Neural Language Models. ACL/IJCNLP (1) Belinda Z. Li, Maxwell I. Nye, Jacob Andreas
2021	J	`jnl`	Implicit Representations of Meaning in Neural Language Models. CoRR Belinda Z. Li, Maxwell I. Nye, Jacob Andreas
2021	A*	`conf`	Improving Coherence and Consistency in Neural Sequence Models with Dual-System, Neuro-Symbolic Reasoning. NeurIPS Maxwell I. Nye, Michael Henry Tessler, Joshua B. Tenenbaum, Brenden M. Lake
2021	J	`jnl`	Improving Coherence and Consistency in Neural Sequence Models with Dual-System, Neuro-Symbolic Reasoning. CoRR Maxwell I. Nye, Michael Henry Tessler, Joshua B. Tenenbaum, Brenden M. Lake
2021	B	`conf`	LARC: Language annotated Abstraction and Reasoning Corpus. CogSci Samuel Acquaviva, Yewen Pu, Maxwell I. Nye, Catherine Wong, Michael Henry Tessler, Josh Tenenbaum
2021	J	`jnl`	Program Synthesis with Large Language Models. CoRR Jacob Austin, Augustus Odena, Maxwell I. Nye, Maarten Bosma, Henryk Michalewski, David Dohan, Ellen Jiang, Carrie J. Cai, Michael Terry, Quoc V. Le, Charles Sutton
2021	A*	`conf`	Representing Partial Programs with Blended Abstract Semantics. ICLR Maxwell I. Nye, Yewen Pu, Matthew Bowers, Jacob Andreas, Joshua B. Tenenbaum, Armando Solar-Lezama
2021	J	`jnl`	Show Your Work: Scratchpads for Intermediate Computation with Language Models. CoRR Maxwell I. Nye, Anders Johan Andreassen, Guy Gur-Ari, Henryk Michalewski, Jacob Austin, David Bieber, David Dohan, Aitor Lewkowycz, Maarten Bosma, David Luan, Charles Sutton, Augustus Odena
2020	J	`jnl`	DreamCoder: Growing generalizable, interpretable knowledge with wake-sleep Bayesian program learning. CoRR Kevin Ellis, Catherine Wong, Maxwell I. Nye, Mathias Sablé-Meyer, Luc Cary, Lucas Morales, Luke B. Hewitt, Armando Solar-Lezama, Joshua B. Tenenbaum
2020	A*	`conf`	Learning Compositional Rules via Neural Program Synthesis. NeurIPS Maxwell I. Nye, Armando Solar-Lezama, Josh Tenenbaum, Brenden M. Lake
2020	J	`jnl`	Learning Compositional Rules via Neural Program Synthesis. CoRR Maxwell I. Nye, Armando Solar-Lezama, Joshua B. Tenenbaum, Brenden M. Lake
2020	J	`jnl`	Representing Partial Programs with Blended Abstract Semantics. CoRR Maxwell I. Nye, Yewen Pu, Matthew Bowers, Jacob Andreas, Joshua B. Tenenbaum, Armando Solar-Lezama
2019	A*	`conf`	Learning to Infer Program Sketches. ICML Maxwell I. Nye, Luke B. Hewitt, Joshua B. Tenenbaum, Armando Solar-Lezama
2019	J	`jnl`	Learning to Infer Program Sketches. CoRR Maxwell I. Nye, Luke B. Hewitt, Joshua B. Tenenbaum, Armando Solar-Lezama
2019	A*	`conf`	Write, Execute, Assess: Program Synthesis with a REPL. NeurIPS Kevin Ellis, Maxwell I. Nye, Yewen Pu, Felix Sosa, Josh Tenenbaum, Armando Solar-Lezama
2019	J	`jnl`	Write, Execute, Assess: Program Synthesis with a REPL. CoRR Kevin Ellis, Maxwell I. Nye, Yewen Pu, Felix Sosa, Josh Tenenbaum, Armando Solar-Lezama
2018	—	`conf`	Are Efficient Deep Representations Learnable? ICLR (Workshop) Maxwell I. Nye, Andrew Saxe
2018	J	`jnl`	Are Efficient Deep Representations Learnable? CoRR Maxwell I. Nye, Andrew Saxe
2018	A	`conf`	The Variational Homoencoder: Learning to learn high capacity generative models from few examples. UAI Luke B. Hewitt, Maxwell I. Nye, Andreea Gane, Tommi S. Jaakkola, Joshua B. Tenenbaum
2018	J	`jnl`	The Variational Homoencoder: Learning to learn high capacity generative models from few examples. CoRR Luke B. Hewitt, Maxwell I. Nye, Andreea Gane, Tommi S. Jaakkola, Joshua B. Tenenbaum