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Deep Learning Through the Lens of Example Difficulty

Jun 18, 2021
Robert J. N. Baldock, Hartmut Maennel, Behnam Neyshabur

* Main paper: 15 pages, 8 figures. Appendix: 31 pages, 40 figures 

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What Do Neural Networks Learn When Trained With Random Labels?

Jun 18, 2020
Hartmut Maennel, Ibrahim Alabdulmohsin, Ilya Tolstikhin, Robert J. N. Baldock, Olivier Bousquet, Sylvain Gelly, Daniel Keysers

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Exact marginal inference in Latent Dirichlet Allocation

Mar 31, 2020
Hartmut Maennel

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Adaptive Temporal-Difference Learning for Policy Evaluation with Per-State Uncertainty Estimates

Jun 19, 2019
Hugo Penedones, Carlos Riquelme, Damien Vincent, Hartmut Maennel, Timothy Mann, Andre Barreto, Sylvain Gelly, Gergely Neu

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Temporal Difference Learning with Neural Networks - Study of the Leakage Propagation Problem

Jul 09, 2018
Hugo Penedones, Damien Vincent, Hartmut Maennel, Sylvain Gelly, Timothy Mann, Andre Barreto

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Gradient Descent Quantizes ReLU Network Features

Mar 22, 2018
Hartmut Maennel, Olivier Bousquet, Sylvain Gelly

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