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Poster
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Tue 8:45
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Theoretical Analysis of the Inductive Biases in Deep Convolutional Networks
Zihao Wang · Lei Wu
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Poster
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Wed 15:00
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Provable Training for Graph Contrastive Learning
Yue Yu · Xiao Wang · Mengmei Zhang · Nian Liu · Chuan Shi
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Poster
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Thu 8:45
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Generator Born from Classifier
Runpeng Yu · Xinchao Wang
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Poster
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Thu 15:00
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Contextually Affinitive Neighborhood Refinery for Deep Clustering
Chunlin Yu · Ye Shi · Jingya Wang
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Poster
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Wed 15:00
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Improving Robustness with Adaptive Weight Decay
Mohammad Amin Ghiasi · Ali Shafahi · Reza Ardekani
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Workshop
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Sat 12:01
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Piecewise Linear Parametrization of Policies: Towards Interpretable Deep Reinforcement Learning
Maxime Wabartha · Joelle Pineau
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Poster
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Tue 15:15
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What Makes Data Suitable for a Locally Connected Neural Network? A Necessary and Sufficient Condition Based on Quantum Entanglement.
Yotam Alexander · Nimrod De La Vega · Noam Razin · Nadav Cohen
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Poster
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Wed 8:45
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On the Adversarial Robustness of Out-of-distribution Generalization Models
Xin Zou · Weiwei Liu
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Poster
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Tue 15:15
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Scale-teaching: Robust Multi-scale Training for Time Series Classification with Noisy Labels
Zhen Liu · ma peitian · Dongliang Chen · Wenbin Pei · Qianli Ma
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Workshop
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Sat 9:25
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Mean-Field Assisted Deep Boltzmann Learning with Probabilistic Computers
Shuvro Chowdhury · Shaila Niazi · Kerem Camsari
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Poster
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Tue 8:45
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Polynomially Over-Parameterized Convolutional Neural Networks Contain Structured Strong Winning Lottery Tickets
Arthur da Cunha · Arthur da Cunha · Francesco D'Amore · Natale
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Poster
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Tue 15:15
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Learning Invariant Representations with a Nonparametric Nadaraya-Watson Head
Alan Wang · Minh Nguyen · Mert Sabuncu
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