Fabian’s paper “Understanding Self-Supervised Learning via Latent Distribution Matching” was accepted as ICML spotlight! https://arxiv.org/abs/2605.03517 We unify self-supervised learning (SSL) algorithms (e.g., contrastive, VICReg, stopgrad) via latent distribution matching (LDM), which matches an induced latentContinue reading
Tag: ICML
Paper: Finding sparse trainable neural networks through Neural Tangent Transfer
New paper led by Tianlin Liu on “Finding sparse trainable neural networks through Neural Tangent Transfer” https://arxiv.org/abs/2006.08228 (and code) which was accepted at ICML. In the paper we leverage the neural tangent kernel to instantiate sparse neuralContinue reading
ICML Talk on “Continual Learning Through Synaptic Intelligence”
I am looking forward to presenting our work on synaptic consolidation at ICML in Sydney this year. The talk will be held on Tue Aug 8th 11:06–11:24 AM @ Darling Harbour Theatre. Ben and IContinue reading