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In-Person Oral presentation / top 5% paper
Tue May 02 01:00 AM -- 01:10 AM (PDT) @ AD11 None
On the duality between contrastive and non-contrastive self-supervised learning
In Oral 3 Track 4: General Machine Learning & Unsupervised and Self-supervised learning
Quentin Garrido · Yubei Chen · Adrien Bardes · Laurent Najman · Yann LeCun
In-Person Oral presentation / top 25% paper
Tue May 02 01:10 AM -- 01:20 AM (PDT) @ AD11 None
Unsupervised Meta-learning via Few-shot Pseudo-supervised Contrastive Learning
In Oral 3 Track 4: General Machine Learning & Unsupervised and Self-supervised learning
Huiwon Jang · Hankook Lee · Jinwoo Shin
In-Person Oral presentation / top 25% paper
Tue May 02 01:20 AM -- 01:30 AM (PDT) @ AD11 None
The Trade-off between Universality and Label Efficiency of Representations from Contrastive Learning
In Oral 3 Track 4: General Machine Learning & Unsupervised and Self-supervised learning
Zhenmei Shi · Jiefeng Chen · Kunyang Li · Jayaram Raghuram · Xi Wu · Yingyu Liang · Somesh Jha
In-Person Oral presentation / top 25% paper
Tue May 02 01:30 AM -- 01:40 AM (PDT) @ AD11 None
Self-supervised learning with rotation-invariant kernels
In Oral 3 Track 4: General Machine Learning & Unsupervised and Self-supervised learning
Léon Zheng · Gilles Puy · Elisa Riccietti · Patrick Perez · Rémi Gribonval
In-Person Oral presentation / top 25% paper
Tue May 02 01:40 AM -- 01:50 AM (PDT) @ AD11 None
DINO as a von Mises-Fisher mixture model
In Oral 3 Track 4: General Machine Learning & Unsupervised and Self-supervised learning
Hariprasath Govindarajan · Per Sidén · Jacob Roll · Fredrik Lindsten
In-Person Oral presentation / top 25% paper
Tue May 02 01:50 AM -- 02:00 AM (PDT) @ AD11 None
Loss Landscapes are All You Need: Neural Network Generalization Can Be Explained Without the Implicit Bias of Gradient Descent
In Oral 3 Track 4: General Machine Learning & Unsupervised and Self-supervised learning
Ping-yeh Chiang · Renkun Ni · David Y. Miller · Arpit Bansal · Jonas Geiping · Micah Goldblum · Tom Goldstein
[ Slides] 
In-Person Oral presentation / top 25% paper
Tue May 02 02:00 AM -- 02:10 AM (PDT) @ AD11 None
Efficient Discrete Multi Marginal Optimal Transport Regularization
In Oral 3 Track 4: General Machine Learning & Unsupervised and Self-supervised learning
Ronak Mehta · Jeffery Kline · Vishnu Lokhande · Glenn Fung · Vikas Singh
In-Person Oral presentation / top 25% paper
Tue May 02 02:10 AM -- 02:20 AM (PDT) @ AD11 None
Sparsity-Constrained Optimal Transport
In Oral 3 Track 4: General Machine Learning & Unsupervised and Self-supervised learning
Tianlin Liu · Joan Puigcerver · Mathieu Blondel