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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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