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44 Results
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Poster
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Wed 9:00 |
Friendly Noise against Adversarial Noise: A Powerful Defense against Data Poisoning Attack Tian Yu Liu · Yu Yang · Baharan Mirzasoleiman |
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Poster
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Wed 9:00 |
On the Generalization Power of the Overfitted Three-Layer Neural Tangent Kernel Model Peizhong Ju · Xiaojun Lin · Ness Shroff |
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Poster
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Wed 9:00 |
Beyond neural scaling laws: beating power law scaling via data pruning Ben Sorscher · Robert Geirhos · Shashank Shekhar · Surya Ganguli · Ari Morcos |
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Poster
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Thu 9:00 |
Theoretically Provable Spiking Neural Networks Shao-Qun Zhang · Zhi-Hua Zhou |
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Poster
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Thu 9:00 |
Performative Power Moritz Hardt · Meena Jagadeesan · Celestine Mendler-Dünner |
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Poster
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Wed 9:00 |
The Power and Limitation of Pretraining-Finetuning for Linear Regression under Covariate Shift Jingfeng Wu · Difan Zou · Vladimir Braverman · Quanquan Gu · Sham Kakade |
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Poster
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Thu 14:00 |
Understanding and Extending Subgraph GNNs by Rethinking Their Symmetries Fabrizio Frasca · Beatrice Bevilacqua · Michael Bronstein · Haggai Maron |
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Poster
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Tue 9:00 |
Depth is More Powerful than Width with Prediction Concatenation in Deep Forest Shen-Huan Lyu · Yi-Xiao He · Zhi-Hua Zhou |
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Poster
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Wed 9:00 |
Recipe for a General, Powerful, Scalable Graph Transformer Ladislav Rampášek · Michael Galkin · Vijay Prakash Dwivedi · Anh Tuan Luu · Guy Wolf · Dominique Beaini |
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Poster
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Thu 9:00 |
Your Transformer May Not be as Powerful as You Expect Shengjie Luo · Shanda Li · Shuxin Zheng · Tie-Yan Liu · Liwei Wang · Di He |
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Poster
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Thu 9:00 |
Pure Transformers are Powerful Graph Learners Jinwoo Kim · Dat Nguyen · Seonwoo Min · Sungjun Cho · Moontae Lee · Honglak Lee · Seunghoon Hong |
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Poster
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Tue 9:00 |
Truncated Matrix Power Iteration for Differentiable DAG Learning Zhen Zhang · Ignavier Ng · Dong Gong · Yuhang Liu · Ehsan Abbasnejad · Mingming Gong · Kun Zhang · Javen Qinfeng Shi |