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Poster
Combining Explicit and Implicit Regularization for Efficient Learning in Deep Networks
Dan Zhao
Poster
Tue 14:00 Reconstructing Training Data From Trained Neural Networks
Niv Haim · Gal Vardi · Gilad Yehudai · Ohad Shamir · Michal Irani
Poster
Thu 9:00 On the Frequency-bias of Coordinate-MLPs
Sameera Ramasinghe · Lachlan E. MacDonald · Simon Lucey
Poster
Towards Understanding the Condensation of Neural Networks at Initial Training
Hanxu Zhou · Zhou Qixuan · Tao Luo · Yaoyu Zhang · Zhi-Qin Xu
Workshop
How Powerful is Implicit Denoising in Graph Neural Networks
Songtao Liu · Rex Ying · Hanze Dong · Lu Lin · Jinghui Chen · Dinghao Wu
Poster
Tue 9:00 Gradient flow dynamics of shallow ReLU networks for square loss and orthogonal inputs
Etienne Boursier · Loucas PILLAUD-VIVIEN · Nicolas Flammarion
Poster
Wed 14:00 The alignment property of SGD noise and how it helps select flat minima: A stability analysis
Lei Wu · Mingze Wang · Weijie Su
Poster
Wed 14:00 Why neural networks find simple solutions: The many regularizers of geometric complexity
Benoit Dherin · Michael Munn · Mihaela Rosca · David Barrett
Poster
Residual Multiplicative Filter Networks for Multiscale Reconstruction
Shayan Shekarforoush · David Lindell · David Fleet · Marcus Brubaker
Poster
Thu 14:00 On Margin Maximization in Linear and ReLU Networks
Gal Vardi · Ohad Shamir · Nati Srebro
Poster
Thu 9:00 MAgNet: Mesh Agnostic Neural PDE Solver
Oussama Boussif · Yoshua Bengio · Loubna Benabbou · Dan Assouline
Poster
Wed 9:00 Implicit Neural Representations with Levels-of-Experts
Zekun Hao · Arun Mallya · Serge Belongie · Ming-Yu Liu