Maxwell I. Nye
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
9
Venues
6
Active years
2018–2023
Best venue rank
A*
Where they publish
Papers
9 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2023 | ACL | Language Modeling with Latent Situations. | Belinda Z. Li, Maxwell I. Nye, Jacob Andreas |
| 2021 | ACL | Implicit Representations of Meaning in Neural Language Models. | Belinda Z. Li, Maxwell I. Nye, Jacob Andreas |
| 2021 | CogSci | LARC: Language annotated Abstraction and Reasoning Corpus. | Samuel Acquaviva, Yewen Pu, Maxwell I. Nye, Catherine Wong, Michael Henry Tessler, Josh Tenenbaum |
| 2021 | ICLR | Representing Partial Programs with Blended Abstract Semantics. | Maxwell I. Nye, Yewen Pu, Matthew Bowers, Jacob Andreas, Joshua B. Tenenbaum, Armando Solar-Lezama |
| 2021 | ICML | A large-scale benchmark for few-shot program induction and synthesis. | Ferran Alet, Javier Lopez-Contreras, James Koppel, Maxwell I. Nye, Armando Solar-Lezama, Toms Lozano-Prez, Leslie Pack Kaelbling, Joshua B. Tenenbaum |
| 2021 | PLDI | DreamCoder: bootstrapping inductive program synthesis with wake-sleep library learning. | Kevin Ellis, Catherine Wong, Maxwell I. Nye, Mathias Sabl-Meyer, Lucas Morales, Luke B. Hewitt, Luc Cary, Armando Solar-Lezama, Joshua B. Tenenbaum |
| 2019 | ICML | Learning to Infer Program Sketches. | Maxwell I. Nye, Luke B. Hewitt, Joshua B. Tenenbaum, Armando Solar-Lezama |
| 2018 | ICLR | Are Efficient Deep Representations Learnable? | Maxwell I. Nye, Andrew Saxe |
| 2018 | UAI | The Variational Homoencoder: Learning to learn high capacity generative models from few examples. | Luke B. Hewitt, Maxwell I. Nye, Andreea Gane, Tommi S. Jaakkola, Joshua B. Tenenbaum |