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Catherine Wong
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2020 – today
- 2022
- [j1]Charuleka Varadharajan
, Valerie C. Hendrix
, Danielle S. Christianson, Madison Burrus, Catherine Wong
, Susan S. Hubbard, Deborah A. Agarwal
:
BASIN-3D: A brokering framework to integrate diverse environmental data. Comput. Geosci. 159: 105024 (2022) - [c12]Katherine M. Collins, Catherine Wong, Jiahai Feng, Megan Wei, Josh Tenenbaum:
Structured, flexible, and robust: benchmarking and improving large language models towards more human-like behavior in out-of-distribution reasoning tasks. CogSci 2022 - [c11]Catherine Wong, William P. McCarthy, Gabriel Grand, Yoni Friedman, Josh Tenenbaum, Jacob Andreas, Robert D. Hawkins, Judith E. Fan:
Identifying concept libraries from language about object structure. CogSci 2022 - [c10]Samuel Acquaviva, Yewen Pu, Marta Kryven, Theodoros Sechopoulos, Catherine Wong, Gabrielle E. Ecanow, Maxwell I. Nye, Michael Henry Tessler, Josh Tenenbaum:
Communicating Natural Programs to Humans and Machines. NeurIPS 2022 - [i10]Catherine Wong, William P. McCarthy, Gabriel Grand, Yoni Friedman, Joshua B. Tenenbaum, Jacob Andreas, Robert D. Hawkins
, Judith E. Fan:
Identifying concept libraries from language about object structure. CoRR abs/2205.05666 (2022) - [i9]Katherine M. Collins, Catherine Wong, Jiahai Feng, Megan Wei, Joshua B. Tenenbaum:
Structured, flexible, and robust: benchmarking and improving large language models towards more human-like behavior in out-of-distribution reasoning tasks. CoRR abs/2205.05718 (2022) - [i8]Matthew Bowers, Theo X. Olausson, Catherine Wong, Gabriel Grand, Joshua B. Tenenbaum, Kevin Ellis, Armando Solar-Lezama
:
Top-Down Synthesis for Library Learning. CoRR abs/2211.16605 (2022) - 2021
- [c9]Samuel Acquaviva, Yewen Pu, Maxwell I. Nye, Catherine Wong, Michael Henry Tessler, Josh Tenenbaum:
LARC: Language annotated Abstraction and Reasoning Corpus. CogSci 2021 - [c8]Gabrielle E. Ecanow, Catherine Wong, Samuel Acquaviva, Yewen Pu, Marta Kryven, Josh Tenenbaum:
Core knowledge objects in reasoning and language use for highly abstract inductive tasks. CogSci 2021 - [c7]Catherine Wong, Yoni Friedman, Jacob Andreas, Josh Tenenbaum:
Language as a bootstrap for compositional visual reasoning. CogSci 2021 - [c6]Catherine Wong, Kevin Ellis, Joshua B. Tenenbaum, Jacob Andreas:
Leveraging Language to Learn Program Abstractions and Search Heuristics. ICML 2021: 11193-11204 - [c5]Kevin Ellis, Catherine Wong, Maxwell I. Nye, Mathias Sablé-Meyer, Lucas Morales
, Luke B. Hewitt, Luc Cary, Armando Solar-Lezama
, Joshua B. Tenenbaum:
DreamCoder: bootstrapping inductive program synthesis with wake-sleep library learning. PLDI 2021: 835-850 - [i7]Samuel Acquaviva, Yewen Pu, Marta Kryven, Catherine Wong, Gabrielle E. Ecanow, Maxwell I. Nye, Theodoros Sechopoulos, Michael Henry Tessler, Joshua B. Tenenbaum:
Communicating Natural Programs to Humans and Machines. CoRR abs/2106.07824 (2021) - [i6]Catherine Wong, Kevin Ellis, Joshua B. Tenenbaum, Jacob Andreas:
Leveraging Language to Learn Program Abstractions and Search Heuristics. CoRR abs/2106.11053 (2021) - 2020
- [i5]Kevin Ellis, Catherine Wong, Maxwell I. Nye, Mathias Sablé-Meyer, Luc Cary, Lucas Morales, Luke B. Hewitt, Armando Solar-Lezama, Joshua B. Tenenbaum:
DreamCoder: Growing generalizable, interpretable knowledge with wake-sleep Bayesian program learning. CoRR abs/2006.08381 (2020)
2010 – 2019
- 2019
- [c4]Catherine Wong, Kevin Ellis, Mathias Sablé-Meyer, Josh Tenenbaum:
Modeling Expertise with Neurally-Guided Bayesian Program Induction. CogSci 2019: 3114 - 2018
- [c3]Catherine Wong, Neil Houlsby, Yifeng Lu, Andrea Gesmundo:
Transfer Learning with Neural AutoML. NeurIPS 2018: 8366-8375 - [i4]Catherine Wong, Neil Houlsby, Yifeng Lu, Andrea Gesmundo:
Transfer Automatic Machine Learning. CoRR abs/1803.02780 (2018) - [i3]Thomas Dean, Maurice Chiang, Marcus Gomez, Nate Gruver, Yousef Hindy, Michelle Lam, Peter Lu, Sophia Sanchez, Rohun Saxena, Michael Smith, Lucy Wang, Catherine Wong:
Amanuensis: The Programmer's Apprentice. CoRR abs/1807.00082 (2018) - 2017
- [c2]Charles Lam, Catherine Wong:
Challenges for Digital Literacy in English Curriculum. Teach4DH@GSCL 2017: 32-36 - [i2]Catherine Wong, Andrea Gesmundo:
Transfer Learning to Learn with Multitask Neural Model Search. CoRR abs/1710.10776 (2017) - [i1]Catherine Wong:
DANCin SEQ2SEQ: Fooling Text Classifiers with Adversarial Text Example Generation. CoRR abs/1712.05419 (2017)
2000 – 2009
- 2004
- [c1]Michael Voss, Eric Chiu, Patrick Man Yan Chow, Catherine Wong, Kevin Yuen:
An Evaluation of Auto-Scoping in OpenMP. WOMPAT 2004: 98-109
Coauthor Index
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