On the Benefits of Over-parameterization for Out-of-Distribution
Generalization

On the Benefits of Over-parameterization for Out-of-Distribution Generalization

26 March 2024

Yong Lin

Tong Zhang

Papers citing "On the Benefits of Over-parameterization for Out-of-Distribution Generalization"

10 / 10 papers shown

Title
Regularizing Hidden States Enables Learning Generalizable Reward Model for LLMs Rui Yang Ruomeng Ding Yong Lin Huan Zhang Tong Zhang 30 42 0 14 Jun 2024
Synergy and Diversity in CLIP: Enhancing Performance Through Adaptive Backbone Ensembling Cristian Rodriguez-Opazo Ehsan Abbasnejad Damien Teney Edison Marrese-Taylor Hamed Damirchi A. Hengel VLM 35 1 0 27 May 2024
Trainable Projected Gradient Method for Robust Fine-tuning Junjiao Tian Xiaoliang Dai Chih-Yao Ma Zecheng He Yen-Cheng Liu Z. Kira 48 30 0 19 Mar 2023
Explicit Tradeoffs between Adversarial and Natural Distributional Robustness Mazda Moayeri Kiarash Banihashem S. Feizi OOD 70 21 0 15 Sep 2022
Diverse Weight Averaging for Out-of-Distribution Generalization Alexandre Ramé Matthieu Kirchmeyer Thibaud Rahier A. Rakotomamonjy Patrick Gallinari Matthieu Cord OOD 193 128 0 19 May 2022
The Implicit Bias of Benign Overfitting Ohad Shamir 96 35 0 27 Jan 2022
SWAD: Domain Generalization by Seeking Flat Minima Junbum Cha Sanghyuk Chun Kyungjae Lee Han-Cheol Cho Seunghyun Park Yunsung Lee Sungrae Park MoMe 216 423 0 17 Feb 2021
An Investigation of Why Overparameterization Exacerbates Spurious Correlations Shiori Sagawa Aditi Raghunathan Pang Wei Koh Percy Liang 146 370 0 09 May 2020
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 275 2,888 0 15 Sep 2016
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 174 9,327 0 28 May 2015