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Poster
Revisiting Non-Parametric Matching Cost Volumes for Robust and Generalizable Stereo Matching
Kelvin Cheng · Tianfu Wu · Zhebin Zhang · Hongyu Sun · Christopher Healey
Poster
Dynamic learning in large matching markets
Anand Kalvit · Assaf Zeevi
Poster
Differentially Private Model Compression
FatemehSadat Mireshghallah · Arturs Backurs · Huseyin A. Inan · Lukas Wutschitz · Janardhan Kulkarni
Poster
FedPop: A Bayesian Approach for Personalised Federated Learning
Nikita Kotelevskii · Maxime Vono · Alain Durmus · Eric Moulines
Poster
Learning Dynamical Systems via Koopman Operator Regression in Reproducing Kernel Hilbert Spaces
Pietro Novelli · Vladimir Kostic · Massimiliano Pontil · Andreas Maurer · Carlo Ciliberto · Lorenzo Rosasco
Poster
Learning single-index models with shallow neural networks
Alberto Bietti · Joan Bruna · Clayton Sanford · Min Jae Song
Poster
Tackling Overfitting and Silence in Unsupervised Audio-Visual Source Localization
Shentong Mo · Pedro Morgado
Poster
Theoretically Better and Numerically Faster Distributed Optimization with Smoothness-Aware Quantization Techniques
Bokun Wang · Mher Safaryan · Peter Richtarik
Poster
Feature Learning in $L_2$-regularized DNNs: Attraction/Repulsion and Sparsity
Arthur Jacot · Eugene Golikov · Clement Hongler · Franck Gabriel
Poster
Joint Learning of 2D-3D Weakly Supervised Semantic Segmentation
Hyeokjun Kweon · Kuk-Jin Yoon
Poster
REVIVE: Regional Visual Representation Matters in Knowledge-Based Visual Question Answering
Yuanze Lin · Yujia Xie · Dongdong Chen · Yichong Xu · Chenguang Zhu · Lu Yuan
Poster
Learning Gradient Fields for Object Arrangement
Mingdong Wu · Fangwei Zhong · Yulong Xia · Hao Dong