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Poster
Mon 1:00 Towards Robust Neural Networks via Close-loop Control
Zhuotong Chen · Qianxiao Li · Zheng Zhang
Poster
Mon 17:00 Robust Curriculum Learning: from clean label detection to noisy label self-correction
Tianyi Zhou · Shengjie Wang · Jeff Bilmes
Poster
Thu 17:00 On the Curse of Memory in Recurrent Neural Networks: Approximation and Optimization Analysis
Zhong Li · Jiequn Han · Weinan E · Qianxiao Li
Poster
Mon 17:00 Incorporating Symmetry into Deep Dynamics Models for Improved Generalization
Rui Wang · Robin Walters · Rose Yu
Poster
Thu 1:00 Learning continuous-time PDEs from sparse data with graph neural networks
Valerii Iakovlev · Markus Heinonen · Harri Lähdesmäki
Poster
Tue 1:00 Conformation-Guided Molecular Representation with Hamiltonian Neural Networks
Ziyao Li · Shuwen Yang · Guojie Song · Lingsheng Cai
Poster
Mon 17:00 Federated Learning Based on Dynamic Regularization
Durmus Alp Emre Acar · Yue Zhao · Ramon Matas · Matthew Mattina · Paul Whatmough · Venkatesh Saligrama
Oral
Mon 11:00 Federated Learning Based on Dynamic Regularization
Durmus Alp Emre Acar · Yue Zhao · Ramon Matas · Matthew Mattina · Paul Whatmough · Venkatesh Saligrama
Poster
Wed 17:00 Efficient Empowerment Estimation for Unsupervised Stabilization
Ruihan Zhao · Kevin Lu · Pieter Abbeel · Stas Tiomkin
Poster
Tue 9:00 The geometry of integration in text classification RNNs
Kyle Aitken · Vinay Ramasesh · Ankush Garg · Yuan Cao · David Sussillo · Niru Maheswaranathan
Poster
Tue 1:00 Lossless Compression of Structured Convolutional Models via Lifting
Gustav Sourek · Filip Zelezny · Ondrej Kuzelka
Poster
Tue 17:00 Lipschitz Recurrent Neural Networks
N. Benjamin Erichson · Omri Azencot · Alejandro Queiruga · Liam Hodgkinson · Michael W Mahoney