Catherine Wong

According to our database, Catherine Wong authored at least 19 papers between 2004 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

BASIN-3D: A brokering framework to integrate diverse environmental data.

Charuleka Varadharajan, Valerie C. Hendrix, Danielle S. Christianson, Madison Burrus, Catherine Wong, Susan S. Hubbard, Deborah A. Agarwal

Comput. Geosci., 2022

Top-Down Synthesis for Library Learning.

Matthew Bowers, Theo X. Olausson, Catherine Wong, Gabriel Grand, Joshua B. Tenenbaum, Kevin Ellis, Armando Solar-Lezama

CoRR, 2022

Structured, flexible, and robust: benchmarking and improving large language models towards more human-like behavior in out-of-distribution reasoning tasks.

Katherine M. Collins, Catherine Wong, Jiahai Feng, Megan Wei, Joshua B. Tenenbaum

CoRR, 2022

Identifying concept libraries from language about object structure.

Catherine Wong, William P. McCarthy, Gabriel Grand, Yoni Friedman, Joshua B. Tenenbaum, Jacob Andreas, Robert D. Hawkins, Judith E. Fan

CoRR, 2022

Communicating Natural Programs to Humans and Machines.

Samuel Acquaviva, Yewen Pu, Marta Kryven, Theodoros Sechopoulos, Catherine Wong, Gabrielle E. Ecanow, Maxwell I. Nye, Michael Henry Tessler, Josh Tenenbaum

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

DreamCoder: bootstrapping inductive program synthesis with wake-sleep library learning.

Kevin Ellis, Catherine Wong, Maxwell I. Nye, Mathias Sablé-Meyer, Lucas Morales, Luke B. Hewitt, Luc Cary, Armando Solar-Lezama, Joshua B. Tenenbaum

Proceedings of the PLDI '21: 42nd ACM SIGPLAN International Conference on Programming Language Design and Implementation, 2021

Leveraging Language to Learn Program Abstractions and Search Heuristics.

Catherine Wong, Kevin Ellis, Joshua B. Tenenbaum, Jacob Andreas

Proceedings of the 38th International Conference on Machine Learning, 2021

Language as a bootstrap for compositional visual reasoning.

Catherine Wong, Yoni Friedman, Jacob Andreas, Josh Tenenbaum

Proceedings of the 43th Annual Meeting of the Cognitive Science Society, 2021

Core knowledge objects in reasoning and language use for highly abstract inductive tasks.

Gabrielle E. Ecanow, Catherine Wong, Samuel Acquaviva, Yewen Pu, Marta Kryven, Josh Tenenbaum

Proceedings of the 43th Annual Meeting of the Cognitive Science Society, 2021

LARC: Language annotated Abstraction and Reasoning Corpus.

Samuel Acquaviva, Yewen Pu, Maxwell I. Nye, Catherine Wong, Michael Henry Tessler, Josh Tenenbaum

Proceedings of the 43th Annual Meeting of the Cognitive Science Society, 2021

2020

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

Kevin Ellis, Catherine Wong, Maxwell I. Nye, Mathias Sablé-Meyer, Luc Cary, Lucas Morales, Luke B. Hewitt, Armando Solar-Lezama, Joshua B. Tenenbaum

CoRR, 2020

2019

Modeling Expertise with Neurally-Guided Bayesian Program Induction.

Catherine Wong, Kevin Ellis, Mathias Sablé-Meyer, Josh Tenenbaum

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

2018

Amanuensis: The Programmer's Apprentice.

Thomas Dean, Maurice Chiang, Marcus Gomez, Nate Gruver, Yousef Hindy, Michelle Lam, Peter Lu, Sophia Sanchez, Rohun Saxena, Michael Smith, Lucy Wang, Catherine Wong

CoRR, 2018

Transfer Automatic Machine Learning.

Catherine Wong, Neil Houlsby, Yifeng Lu, Andrea Gesmundo

CoRR, 2018

Transfer Learning with Neural AutoML.

Catherine Wong, Neil Houlsby, Yifeng Lu, Andrea Gesmundo

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

DANCin SEQ2SEQ: Fooling Text Classifiers with Adversarial Text Example Generation.

Catherine Wong

CoRR, 2017

Transfer Learning to Learn with Multitask Neural Model Search.

Catherine Wong, Andrea Gesmundo

CoRR, 2017

Challenges for Digital Literacy in English Curriculum.

Charles Lam, Catherine Wong

Proceedings of the Workshop on Teaching NLP for Digital Humanities (Teach4DH) 2017, 2017

2004

An Evaluation of Auto-Scoping in OpenMP.

Michael Voss, Eric Chiu, Patrick Man Yan Chow, Catherine Wong, Kevin Yuen

Proceedings of the Shared Memory Parallel Programming with OpenMP, 2004