2024 "training dynamics" Papers

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Dynamic Data Selection for Efficient SSL via Coarse-to-Fine Refinement

Aditay Tripathi, Pradeep Shenoy, Anirban Chakraborty

ECCV 2024poster
3
citations

Evolving Subnetwork Training for Large Language Models

hanqi li, Lu Chen, Da Ma et al.

ICML 2024poster

How Graph Neural Networks Learn: Lessons from Training Dynamics

Chenxiao Yang, Qitian Wu, David Wipf et al.

ICML 2024poster

Learning Associative Memories with Gradient Descent

Vivien Cabannnes, Berfin Simsek, Alberto Bietti

ICML 2024poster

Rethinking Fast Adversarial Training: A Splitting Technique To Overcome Catastrophic Overfitting

Masoumeh Zareapoor, Pourya Shamsolmoali

ECCV 2024poster

Stability-Informed Initialization of Neural Ordinary Differential Equations

Theodor Westny, Arman Mohammadi, Daniel Jung et al.

ICML 2024poster

United We Stand: Using Epoch-Wise Agreement of Ensembles to Combat Overfit

Uri Stern, Daniel Shwartz, Daphna Weinshall

AAAI 2024paperarXiv:2310.11077

What is Dataset Distillation Learning?

William Yang, Ye Zhu, Zhiwei Deng et al.

ICML 2024poster