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Gradient Starvation: A Learning Proclivity in Neural Networks.

M. Pezeshki, S. Kaba, Y. Bengio, A. Courville, D. Precup, and G. Lajoie. CoRR, (2020)

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Guillaume Pierre

Guillaume Klein

Guillaume Jacques

Guillaume Schurgers

Guillaume Weick

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Correlation-based model of artificially induced plasticity in motor cortex by a bidirectional brain-computer interface.G. Lajoie, N. Krouchev, J. Kalaska, A. Fairhall, and E. Fetz. PLoS Comput. Biol., (2017)Performance-gated deliberation: A context-adapted strategy in which urgency is opportunity cost.M. Touzel, P. Cisek, and G. Lajoie. PLoS Comput. Biol., (2022)Non-normal Recurrent Neural Network (nnRNN): learning long time dependencies while improving expressivity with transient dynamics.G. Kerg, K. Goyette, M. Touzel, G. Gidel, E. Vorontsov, Y. Bengio, and G. Lajoie. NeurIPS, page 13591-13601. (2019)Untangling tradeoffs between recurrence and self-attention in artificial neural networks.G. Kerg, B. Kanuparthi, A. Goyal, K. Goyette, Y. Bengio, and G. Lajoie. NeurIPS, (2020)Beyond accuracy: generalization properties of bio-plausible temporal credit assignment rules.Y. Liu, A. Ghosh, B. Richards, E. Shea-Brown, and G. Lajoie. NeurIPS, (2022)Delta-AI: Local objectives for amortized inference in sparse graphical models.J. Falet, H. Lee, N. Malkin, C. Sun, D. Secrieru, D. Zhang, G. Lajoie, and Y. Bengio. CoRR, (2023)A Unified, Scalable Framework for Neural Population Decoding.M. Azabou, V. Arora, V. Ganesh, X. Mao, S. Nachimuthu, M. Mendelson, B. Richards, M. Perich, G. Lajoie, and E. Dyer. CoRR, (2023)Learning to Combine Top-Down and Bottom-Up Signals in Recurrent Neural Networks with Attention over Modules.S. Mittal, A. Lamb, A. Goyal, V. Voleti, M. Shanahan, G. Lajoie, M. Mozer, and Y. Bengio. ICML, volume 119 of Proceedings of Machine Learning Research, page 6972-6986. PMLR, (2020)Embedding Signals on Knowledge Graphs with Unbalanced Diffusion Earth Mover's Distance.A. Tong, G. Huguet, D. Shung, A. Natik, M. Kuchroo, G. Lajoie, G. Wolf, and S. Krishnaswamy. CoRR, (2021)Amortizing intractable inference in large language models.E. Hu, M. Jain, E. Elmoznino, Y. Kaddar, G. Lajoie, Y. Bengio, and N. Malkin. CoRR, (2023)

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Disambiguation of "Lajoie, Guillaume"

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Gradient Starvation: A Learning Proclivity in Neural Networks.

Please choose a person to relate this publication to

Guillaume Pierre

Guillaume Klein

Guillaume Jacques

Guillaume Schurgers

Guillaume Weick

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Lajoie, Guillaume"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Gradient Starvation: A Learning Proclivity in Neural Networks.

Please choose a person to relate this publication to

Guillaume Pierre

Guillaume Klein

Guillaume Jacques

Guillaume Schurgers

Guillaume Weick

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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Gradient Starvation: A Learning Proclivity in Neural Networks.