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Workshop
Conditional Diffusion Models as Self-supervised Learning Backbone for Irregular Time Series
Hamed Shirzad · Ruizhi Deng · He Zhao · Frederick Tung
Workshop
On Different Faces of Model Scaling in Supervised and Self-Supervised Learning
Matteo Gamba · Arna Ghosh · Kumar Agrawal · Blake A Richards · Hossein Azizpour · Mårten Björkman
Poster
Wed 7:30 Contrastive Learning is Spectral Clustering on Similarity Graph
Zhiquan Tan · Yifan Zhang · Jingqin Yang · Yang Yuan
Workshop
The benefits of Incorporating Shape Priors in Contrastive Learning
Junru Zhao · Tianqin Li · Tai Lee
Workshop
Explainable Anomaly Detection in Sensor-based Remote Healthcare Monitoring with Adaptive Temporal Contrast
Nivedita Bijlani · Gustavo Carneiro · Payam Barnaghi · Samaneh Kouchaki
Poster
Wed 7:30 Neural Spectral Methods: Self-supervised learning in the spectral domain
Yiheng Du · Nithin Chalapathi · Aditi Krishnapriyan
Poster
Fri 1:45 Do Generated Data Always Help Contrastive Learning?
Yifei Wang · Jizhe Zhang · Yisen Wang
Poster
Wed 7:30 Learning to reconstruct signals from binary measurements alone
Laurent Jacques · Julián Tachella
Poster
Wed 1:45 Self-Guided Masked Autoencoders for Domain-Agnostic Self-Supervised Learning
Johnathan Xie · Yoonho Lee · Annie Chen · Chelsea Finn
Affinity Workshop
Tue 7:30 Tiny Papers Poster Session 2
Krystal Maughan · Thomas F Burns
Poster
Tue 7:30 Large Language Models Cannot Self-Correct Reasoning Yet
Jie Huang · Xinyun Chen · Swaroop Mishra · Huaixiu Steven Zheng · Adams Yu · Xinying Song · Denny Zhou
Poster
Wed 1:45 Point2SSM: Learning Morphological Variations of Anatomies from Point Clouds
Jadie Adams · Shireen Elhabian