Bias of Stochastic Gradient Descent or the Architecture: Disentangling the Effects of Overparameterization of Neural…
On Generalization for Generative Flow Networksby Anas Krichel, Nikolay Malkin, Salem Lahlou, Yoshua BengioFirst submitted…
Foundations and Frontiers of Graph Learning Theoryby Yu Huang, Min Zhou, Menglin Yang, Zhen Wang,…
Magnetic Hysteresis Modeling with Neural Operatorsby Abhishek Chandra, Bram Daniels, Mitrofan Curti, Koen Tiels, Elena…
Universal Length Generalization with Turing Programsby Kaiying Hou, David Brandfonbrener, Sham Kakade, Samy Jelassi, Eran…
Improving Zero-shot Generalization of Learned Prompts via Unsupervised Knowledge Distillationby Marco Mistretta, Alberto Baldrati, Marco…
Foster Adaptivity and Balance in Learning with Noisy Labelsby Mengmeng Sheng, Zeren Sun, Tao Chen,…
Importance-Aware Adaptive Dataset Distillationby Guang Li, Ren Togo, Takahiro Ogawa, Miki HaseyamaFirst submitted to arxiv…