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Workshop
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Neural Image Compression: Generalization, Robustness, and Spectral Biases
Kelsey Lieberman · James Diffenderfer · Charles Godfrey · Bhavya Kailkhura
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Workshop
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Generalizable Lightweight Proxy for Robust NAS against Diverse Perturbations
Hyeonjeong Ha · Minseon Kim · Sung Ju Hwang
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Workshop
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Generalizable Lightweight Proxy for Robust NAS against Diverse Perturbations
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Poster
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Wed 14:00
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Beyond the Universal Law of Robustness: Sharper Laws for Random Features and Neural Tangent Kernels
Simone Bombari · Shayan Kiyani · Marco Mondelli
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Oral
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Tue 21:02
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Beyond the Universal Law of Robustness: Sharper Laws for Random Features and Neural Tangent Kernels
Simone Bombari · Shayan Kiyani · Marco Mondelli
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Poster
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Thu 16:30
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Improving Adversarial Robustness of Deep Equilibrium Models with Explicit Regulations Along the Neural Dynamics
Zonghan Yang · Peng Li · Tianyu Pang · Yang Liu
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Poster
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Wed 17:00
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All in a Row: Compressed Convolution Networks for Graphs
Junshu Sun · Shuhui Wang · XINZHE HAN · Zhe Xue · Qingming Huang
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Workshop
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Decoupled Graph Label Denoising for Robust Semi-Supervised Node Classification
Kaize Ding · Yancheng Wang · Huan Liu
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Poster
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Tue 17:00
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Sampling random graph homomorphisms and applications to network data analysis
Hanbaek Lyu · Facundo Memoli · David Sivakoff
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Workshop
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Fri 19:00
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Breaking the Curse of Depth in Graph Convolutional Networks via Refined Initialization Strategy
Senmiao Wang · Yupeng Chen · Yushun Zhang · Tian Ding · Ruoyu Sun
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Workshop
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MRMP: Multi-Rate Magnitude Pruning of Graph Convolutional Networks
Hichem Sahbi
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Poster
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Tue 17:00
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Efficient and Equivariant Graph Networks for Predicting Quantum Hamiltonian
Haiyang Yu · Zhao Xu · Xiaofeng Qian · Xiaoning Qian · Shuiwang Ji
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