Training Over-parameterized Models with Non-decomposable Objectives

9 July 2021

Papers citing "Training Over-parameterized Models with Non-decomposable Objectives"

7 / 7 papers shown

Title
Cost-Sensitive Learning for Long-Tailed Temporal Action Segmentation Zhanzhong Pang Fadime Sener Shrinivas Ramasubramanian Angela Yao 56 1 0 24 Mar 2025
Importance Tempering: Group Robustness for Overparameterized Models Yiping Lu Wenlong Ji Zachary Izzo Lexing Ying 37 7 0 19 Sep 2022
Rank-based Decomposable Losses in Machine Learning: A Survey Shu Hu Xin Wang Siwei Lyu 26 32 0 18 Jul 2022
Balanced Knowledge Distillation for Long-tailed Learning Shaoyu Zhang Chen Chen Xiyuan Hu Silong Peng 43 57 0 21 Apr 2021
Balanced Meta-Softmax for Long-Tailed Visual Recognition Jiawei Ren Cunjun Yu Shunan Sheng Xiao Ma Haiyu Zhao Shuai Yi Hongsheng Li 159 549 0 21 Jul 2020
An Investigation of Why Overparameterization Exacerbates Spurious Correlations Shiori Sagawa Aditi Raghunathan Pang Wei Koh Percy Liang 144 369 0 09 May 2020
Equalization Loss for Long-Tailed Object Recognition Jingru Tan Changbao Wang Buyu Li Quanquan Li Wanli Ouyang Changqing Yin Junjie Yan 239 456 0 11 Mar 2020