“Semantic projection” recovers rich human knowledge of multiple object features from word embeddings.
Gabriel Grand, Idan Blank, Francisco Pereira, and Evelina Fedorenko. Nature Human Behaviour (2022).
[Nature] [MIT McGovern Institute] [arXiv]
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, and Judith E. Fan. CogSci (2022).
[arXiv] [website] [GitHub]
ChemBERTa-2: Towards Chemical Foundation Models.
Walid Ahmad, Elana Simon, Seyone Chithrananda, Gabriel Grand, and Bharath Ramsundar. ELLIS ML for Molecules Worshop (December, 2021).
ChemBERTa: Large-Scale Self-Supervised Pretraining for Molecular Property Prediction.
Seyone Chithrananda, Gabriel Grand, and Bharath Ramsundar. NeurIPS ML for Molecules Worshop (December, 2020).
Adversarial Regularization for Visual Question Answering: Strengths, Shortcomings, and Side Effects. Gabriel Grand and Yonatan Belinkov. Proceedings of the 2nd Workshop on Shortcomings in Vision and Language (SiVL) at NAACL-HLT, Minneapolis, MN (June, 2019).
[arXiv] [ACL] Best Paper Award, SiVL Workshop, NAACL 2019
Learning Interpretable and Bias-Free Models for Visual Question Answering. Gabriel Grand. Harvard Undergraduate Thesis, advised by Alexander Rush and presented to the Department of Computer Science (2018).
[PDF] Hoopes Prize