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Self-Supervised Learning for Time Series: Contrastive or Generative?by Ziyu Liu, Azadeh Alavi, Minyi Li, Xiang…
Towards the Reusability and Compositionality of Causal Representationsby Davide Talon, Phillip Lippe, Stuart James, Alessio…
When can we Approximate Wide Contrastive Models with Neural Tangent Kernels and Principal Component Analysis?by…
A Sparsity Principle for Partially Observable Causal Representation Learningby Danru Xu, Dingling Yao, Sébastien Lachapelle,…
Disentangling Policy from Offline Task Representation Learning via Adversarial Data Augmentationby Chengxing Jia, Fuxiang Zhang,…
Understanding and Mitigating Human-Labelling Errors in Supervised Contrastive Learningby Zijun Long, Lipeng Zhuang, George Killick,…
Can Generative Models Improve Self-Supervised Representation Learning?by Sana Ayromlou, Vahid Reza Khazaie, Fereshteh Forghani, Arash…
Poly-View Contrastive Learningby Amitis Shidani, Devon Hjelm, Jason Ramapuram, Russ Webb, Eeshan Gunesh Dhekane, Dan…
Synthetic Privileged Information Enhances Medical Image Representation Learningby Lucas Farndale, Chris Walsh, Robert Insall, Ke…