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Workshop
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Learning Probabilistic Topological Representations Using Discrete Morse Theory
Xiaoling Hu · Dimitris Samaras · Chao Chen
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Workshop
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Self-Supervised Learning of Phenotypic Representations from Cell Images with Weak Labels
Jan Cross-Zamirski · Guy Williams · Elizabeth Mouchet · Carola-Bibiane Schönlieb · Riku Turkki · Yinhai Wang
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Workshop
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Fri 13:00
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MAEEG: Masked Auto-encoder for EEG Representation Learning
Sherry Chien · Hanlin Goh · Christopher Sandino · Joseph Cheng
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Workshop
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Learning Probabilistic Topological Representations Using Discrete Morse Theory
Xiaoling Hu · Dimitris Samaras · Chao Chen
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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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RegCLR: A Self-Supervised Framework for Tabular Representation Learning in the Wild
Weiyao Wang · Byung-Hak Kim · Varun Ganapathi
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Tutorial
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Mon 8:00
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Probabilistic Circuits: Representations, Inference, Learning and Applications
Antonio Vergari · YooJung Choi · Robert Peharz
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Poster
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Thu 14:00
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CGLB: Benchmark Tasks for Continual Graph Learning
Xikun Zhang · Dongjin Song · Dacheng Tao
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Poster
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Thu 9:00
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Energy-Based Contrastive Learning of Visual Representations
Beomsu Kim · Jong Chul Ye
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Workshop
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Self-supervised Representation Learning Across Sequential and Tabular Features Using Transformers
Rajat Agarwal · Anand Muralidhar · Agniva Som · Hemant Kowshik
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Workshop
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Sat 13:45
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Contrastive Representation Learning for Gaze Estimation
Swati Jindal · Roberto Manduchi
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Workshop
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Visual Reinforcement Learning with Self-Supervised 3D Representations
Yanjie Ze · Nicklas Hansen · Yinbo Chen · Mohit Jain · Xiaolong Wang
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