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60 Results
Poster
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Fri 16:30 |
The Feature Speed Formula: a flexible approach to scale hyper-parameters of deep neural networks Lénaïc Chizat · Praneeth Netrapalli |
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Poster
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Fri 11:00 |
Learning to Shape In-distribution Feature Space for Out-of-distribution Detection Yonggang Zhang · Jie Lu · Bo Peng · Zhen Fang · Yiu-ming Cheung |
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Workshop
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Emergence in non-neural models: grokking modular arithmetic via average gradient outer product Neil Mallinar · Daniel Beaglehole · Libin Zhu · Adityanarayanan Radhakrishnan · Parthe Pandit · Misha Belkin |
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Workshop
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TabGraphs: A Benchmark and Strong Baselines for Learning on Graphs with Tabular Node Features Gleb Bazhenov · Oleg Platonov · Liudmila Prokhorenkova |
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Poster
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Fri 11:00 |
Understanding Visual Feature Reliance through the Lens of Complexity Thomas Fel · Louis Béthune · Andrew Lampinen · Thomas Serre · Katherine Hermann |
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Poster
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Thu 11:00 |
Learning Transferable Features for Implicit Neural Representations Kushal Kardam Vyas · Imtiaz Humayun · Aniket Dashpute · Richard Baraniuk · Ashok Veeraraghavan · Guha Balakrishnan |
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Poster
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Wed 11:00 |
Infinite-Dimensional Feature Interaction Chenhui Xu · FUXUN YU · Maoliang Li · Zihao Zheng · Zirui Xu · Jinjun Xiong · Xiang Chen |
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Poster
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Wed 11:00 |
Learning from Offline Foundation Features with Tensor Augmentations Emir Konuk · Christos Matsoukas · Moein Sorkhei · Phitchapha Lertsiravarameth · Kevin Smith |
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Poster
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Thu 11:00 |
Efficiently Learning Significant Fourier Feature Pairs for Statistical Independence Testing Yixin Ren · Yewei Xia · Hao Zhang · Jihong Guan · Shuigeng Zhou |
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Poster
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Wed 16:30 |
Differential Privacy in Scalable General Kernel Learning via Bonwoo Lee · Jeongyoun Ahn · Cheolwoo Park |
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Poster
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Classifier Clustering and Feature Alignment for Federated Learning under Distributed Concept Drift Junbao Chen · Jingfeng Xue · Yong Wang · Zhenyan Liu · Lu Huang |
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Workshop
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BoostMD: Accelerated Molecular Sampling Leveraging ML Force Field Features Lars L Schaaf · Ilyes Batatia · Jules Tilly · Tom Barrett |