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Evaluating statistical language models as pragmatic reasoners


May 01, 2023
Benjamin Lipkin, Lionel Wong, Gabriel Grand, Joshua B Tenenbaum

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* 8 pages, 4 figures, to appear in the Proceedings of the Annual Meeting of the Cognitive Science Society 2023 

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Top-Down Synthesis for Library Learning


Nov 29, 2022
Matthew Bowers, Theo X. Olausson, Catherine Wong, Gabriel Grand, Joshua B. Tenenbaum, Kevin Ellis, Armando Solar-Lezama

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* Accepted at POPL 2023 

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ChemBERTa-2: Towards Chemical Foundation Models


Sep 05, 2022
Walid Ahmad, Elana Simon, Seyone Chithrananda, Gabriel Grand, Bharath Ramsundar

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* ELLIS Machine Learning for Molecule Discovery Workshop 

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Identifying concept libraries from language about object structure


May 11, 2022
Catherine Wong, William P. McCarthy, Gabriel Grand, Yoni Friedman, Joshua B. Tenenbaum, Jacob Andreas, Robert D. Hawkins, Judith E. Fan

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* Appears in the conference proceedings of CogSci 2022 

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ChemBERTa: Large-Scale Self-Supervised Pretraining for Molecular Property Prediction


Oct 23, 2020
Seyone Chithrananda, Gabriel Grand, Bharath Ramsundar

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* Submitted to NeurIPS 2020 ML for Molecules Workshop 

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Adversarial Regularization for Visual Question Answering: Strengths, Shortcomings, and Side Effects


Jun 20, 2019
Gabriel Grand, Yonatan Belinkov

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* In Proceedings of the 2nd Workshop on Shortcomings in Vision and Language (SiVL) at NAACL-HLT 2019 

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On the Flip Side: Identifying Counterexamples in Visual Question Answering


Jul 24, 2018
Gabriel Grand, Aron Szanto, Yoon Kim, Alexander Rush

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* KDD 2018 conference version 

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Semantic projection: recovering human knowledge of multiple, distinct object features from word embeddings


Mar 06, 2018
Gabriel Grand, Idan Asher Blank, Francisco Pereira, Evelina Fedorenko

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