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On the Compositional Generalization Gap of In-Context Learning


Nov 15, 2022
Arian Hosseini, Ankit Vani, Dzmitry Bahdanau, Alessandro Sordoni, Aaron Courville

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Simplicial Embeddings in Self-Supervised Learning and Downstream Classification


Apr 01, 2022
Samuel Lavoie, Christos Tsirigotis, Max Schwarzer, Kenji Kawaguchi, Ankit Vani, Aaron Courville

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* 22 pages, 5 figures, 5 tables, Preprint 

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Fortuitous Forgetting in Connectionist Networks


Feb 01, 2022
Hattie Zhou, Ankit Vani, Hugo Larochelle, Aaron Courville

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* ICLR 2022 
* ICLR Camera Ready 

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Iterated learning for emergent systematicity in VQA


May 03, 2021
Ankit Vani, Max Schwarzer, Yuchen Lu, Eeshan Dhekane, Aaron Courville

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* Published as a conference paper at ICLR 2021. 9 pages main, 21 pages total including references and appendix 

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GEAR: Geometry-Aware Rényi Information


Jun 19, 2019
Jose Gallego, Ankit Vani, Max Schwarzer, Simon Lacoste-Julien

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Grounded Recurrent Neural Networks


May 23, 2017
Ankit Vani, Yacine Jernite, David Sontag

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