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July 17, 2022 Expo schedule » New in ML »

Timezone: America/New_York »

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 Wed Jul 20, 2022

Time Room 309
10:30 AM (Spotlights)
DL: Theory
On Numerical Integration in Neural Ordinary Differential Equations
10:35 AM (Spotlights)
Reverse Engineering the Neural Tangent Kernel
10:40 AM (Spotlights)
Principled Knowledge Extrapolation with GANs
10:45 AM (Spotlights)
Informed Learning by Wide Neural Networks: Convergence, Generalization and Sampling Complexity
10:50 AM (Spotlights)
Data Augmentation as Feature Manipulation
10:55 AM (Spotlights)
Convolutional and Residual Networks Provably Contain Lottery Tickets
11:00 AM (Spotlights)
Feature Learning and Signal Propagation in Deep Neural Networks
11:05 AM (Orals)
Robust Training of Neural Networks Using Scale Invariant Architectures
11:25 AM (Spotlights)
Understanding Contrastive Learning Requires Incorporating Inductive Biases
11:30 AM (Spotlights)
Implicit Regularization with Polynomial Growth in Deep Tensor Factorization
11:35 AM (Spotlights)
Deep Network Approximation in Terms of Intrinsic Parameters
11:40 AM (Spotlights)
Coin Flipping Neural Networks
11:45 AM (Spotlights)
Benefits of Overparameterized Convolutional Residual Networks: Function Approximation under Smoothness Constraint
11:50 AM (Spotlights)
More Than a Toy: Random Matrix Models Predict How Real-World Neural Representations Generalize
11:55 AM (Spotlights)
SE(3) Equivariant Graph Neural Networks with Complete Local Frames