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Affinity Workshop
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Wed 1:45
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Can Graph Neural Networks learn node-level structural features?
Manuel Dileo · Matteo Zignani
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Affinity Workshop
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Tue 7:30
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Transfer Learning for Global Feature Importance Measurements
Xin Li · Siqi Li · Qiming Wu · Kunyu Yu
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Affinity Workshop
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CMFPN: Context Modeling Meets Feature Pyramid Network
Faroq AL-Tam · Muhammad AL-Qurishi · Thariq Khalid · Riad Souissi
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Affinity Workshop
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Evaluating Groups of Features via Consistency, Contiguity, and Stability
Chaehyeon Kim · Weiqiu You · Shreya Havaldar · Eric Wong
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Poster
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Wed 1:45
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On Double Descent in Reinforcement Learning with LSTD and Random Features
David Brellmann · Eloïse Berthier · David Filliat · Goran Frehse
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Affinity Workshop
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Transfer Learning for Global Feature Importance Measurements
Xin Li · Siqi Li · Qiming Wu · Kunyu Yu
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Poster
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Tue 1:45
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Polynomial Width is Sufficient for Set Representation with High-dimensional Features
Peihao Wang · Shenghao Yang · Shu Li · Zhangyang Wang · Pan Li
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Poster
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Tue 7:30
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The importance of feature preprocessing for differentially private linear optimization
Ziteng Sun · Ananda Theertha Suresh · Aditya Krishna Menon
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Poster
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Tue 7:30
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Label-Focused Inductive Bias over Latent Object Features in Visual Classification
Ilmin Kang · HyounYoung Bae · Kangil Kim
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Affinity Workshop
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Rescaling Intermediate Features Makes Trained Consistency Models Perform Better
Junyi Zhu
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Poster
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Tue 7:30
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An Intuitive Multi-Frequency Feature Representation for SO(3)-Equivariant Networks
Dongwon Son · Jaehyung Kim · Sanghyeon Son · Beomjoon Kim
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Poster
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Tue 1:45
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Spurious Feature Diversification Improves Out-of-distribution Generalization
LIN Yong · Lu Tan · Yifan HAO · Honam Wong · Hanze Dong · WEIZHONG ZHANG · Yujiu Yang · Tong Zhang
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