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Panel
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Tue 9:00
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Panel 1C-1: Learning Neural Set… & Holomorphic Equilibrium Propagation…
Axel Laborieux · Yatao Bian
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Workshop
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Frequency Shortcut Learning in Neural Networks
Shunxin Wang · Raymond Veldhuis · Christoph Brune · Nicola Strisciuglio
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Panel
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Wed 17:15
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Panel 4A-1: Rethinking Lipschitz Neural… & Robust Learning against…
Yizhen Wang · Bohang Zhang
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Poster
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Wed 14:00
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Generative Neural Articulated Radiance Fields
Alexander Bergman · Petr Kellnhofer · Wang Yifan · Eric Chan · David Lindell · Gordon Wetzstein
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Workshop
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Do Neural Networks Trained with Topological Features Learn Different Internal Representations?
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Workshop
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Neural Architecture for Online Ensemble Continual Learning
Mateusz Wójcik · Witold Kościukiewicz · Adam Gonczarek · Tomasz Kajdanowicz
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Poster
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Tue 14:00
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Uncovering the Structural Fairness in Graph Contrastive Learning
Ruijia Wang · Xiao Wang · Chuan Shi · Le Song
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Affinity Workshop
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Learning by Injection: Attention Embedded Recurrent Neural Network for Amharic Text-image Recognition
Tariku Adane Gelaw · Birhanu Hailu Belay · WELEKIROS GEBRESLASIE
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Poster
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Thu 9:00
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Geometric Knowledge Distillation: Topology Compression for Graph Neural Networks
Chenxiao Yang · Qitian Wu · Junchi Yan
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Workshop
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Fine-tuning hierarchical circuits through learned stochastic co-modulation
Caroline Haimerl · Eero Simoncelli · Cristina Savin
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Poster
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Wed 14:00
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On Embeddings for Numerical Features in Tabular Deep Learning
Yury Gorishniy · Ivan Rubachev · Artem Babenko
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Workshop
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Graph Contrastive Learning with Cross-view Reconstruction
Qianlong Wen · Zhongyu Ouyang · Chunhui Zhang · Yiyue Qian · Yanfang Ye · Chuxu Zhang
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