2025 "training dynamics" Papers

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Beyond Random: Automatic Inner-loop Optimization in Dataset Distillation

Muquan Li, Hang Gou, Dongyang Zhang et al.

NeurIPS 2025posterarXiv:2510.04838
1
citations

Feature Averaging: An Implicit Bias of Gradient Descent Leading to Non-Robustness in Neural Networks

Binghui Li, Zhixuan Pan, Kaifeng Lyu et al.

ICLR 2025posterarXiv:2410.10322

Flatness is Necessary, Neural Collapse is Not: Rethinking Generalization via Grokking

Ting Han, Linara Adilova, Henning Petzka et al.

NeurIPS 2025oralarXiv:2509.17738
3
citations

On the Feature Learning in Diffusion Models

Andi Han, Wei Huang, Yuan Cao et al.

ICLR 2025posterarXiv:2412.01021
13
citations

Transformers Learn to Implement Multi-step Gradient Descent with Chain of Thought

Jianhao Huang, Zixuan Wang, Jason Lee

ICLR 2025posterarXiv:2502.21212
18
citations