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(8 events)   Time zone: Conference local time zone  
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The 2021 schedule is still incomplete
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Oral
Thu Jul 22 02:00 PM -- 02:20 PM (CEST)
Tilting the playing field: Dynamical loss functions for machine learning
In Deep Learning Theory 6
Miguel Ruiz Garcia · Ge Zhang · Samuel Schoenholz · Andrea Liu
[ Paper ]
Spotlight
Thu Jul 22 02:20 PM -- 02:25 PM (CEST)
Adversarial Robustness Guarantees for Random Deep Neural Networks
In Deep Learning Theory 6
Giacomo De Palma · Bobak T Kiani · Seth Lloyd
[ Paper ]
Spotlight
Thu Jul 22 02:25 PM -- 02:30 PM (CEST)
Implicit Bias of Linear RNNs
In Deep Learning Theory 6
Melikasadat Emami · Mojtaba Sahraee-Ardakan · Parthe Pandit · Sundeep Rangan · Alyson Fletcher
[ Paper ]
Spotlight
Thu Jul 22 02:30 PM -- 02:35 PM (CEST)
Analyzing the tree-layer structure of Deep Forests
In Deep Learning Theory 6
Ludovic Arnould · Claire Boyer · Erwan Scornet
[ Paper ]
Spotlight
Thu Jul 22 02:35 PM -- 02:40 PM (CEST)
Quantifying the Benefit of Using Differentiable Learning over Tangent Kernels
In Deep Learning Theory 6
Eran Malach · Pritish Kamath · Emmanuel Abbe · Nati Srebro
[ Paper ]
Spotlight
Thu Jul 22 02:40 PM -- 02:45 PM (CEST)
Implicit Regularization in Tensor Factorization
In Deep Learning Theory 6
Noam Razin · Asaf Maman · Nadav Cohen
[ Paper ]
Spotlight
Thu Jul 22 02:45 PM -- 02:50 PM (CEST)
Uniform Convergence, Adversarial Spheres and a Simple Remedy
In Deep Learning Theory 6
Gregor Bachmann · Seyed Moosavi · Thomas Hofmann
[ Paper ]
Q&A
Thu Jul 22 02:50 PM -- 02:55 PM (CEST)
Q&A
In Deep Learning Theory 6