Distributional Robustness Loss for Long-tail Learning

7 April 2021

Papers citing "Distributional Robustness Loss for Long-tail Learning"

23 / 23 papers shown

Title
Focal-SAM: Focal Sharpness-Aware Minimization for Long-Tailed Classification Sicong Li Qianqian Xu Zhiyong Yang Zitai Wang L. Zhang Xiaochun Cao Q. Huang 67 0 0 03 May 2025
Cost-Sensitive Learning for Long-Tailed Temporal Action Segmentation Zhanzhong Pang Fadime Sener Shrinivas Ramasubramanian Angela Yao 56 1 0 24 Mar 2025
Continual Learning: Less Forgetting, More OOD Generalization via Adaptive Contrastive Replay Hossein Rezaei Mohammad Sabokrou CLL 21 0 0 09 Oct 2024
Delving into the Trajectory Long-tail Distribution for Muti-object Tracking Sijia Chen En Yu Jinyang Li Wenbing Tao DiffM 33 12 0 07 Mar 2024
Supervised Contrastive Representation Learning: Landscape Analysis with Unconstrained Features Tina Behnia Christos Thrampoulidis SSL 31 0 0 29 Feb 2024
Class Uncertainty: A Measure to Mitigate Class Imbalance Z. S. Baltaci K. Oksuz S. Kuzucu K. Tezoren B. K. Konar A. Ozkan Emre Akbas Sinan Kalkan 79 2 0 23 Nov 2023
Uncertainty-guided Boundary Learning for Imbalanced Social Event Detection Jiaqian Ren Hao Peng Lei Jiang Zhiwei Liu Jia Wu Zhengtao Yu Phillp S. Yu 23 13 0 30 Oct 2023
Can Continual Learning Improve Long-Tailed Recognition? Toward a Unified Framework Mahdiyar Molahasani Michael A. Greenspan Ali Etemad 24 2 0 23 Jun 2023
Symmetric Neural-Collapse Representations with Supervised Contrastive Loss: The Impact of ReLU and Batching Ganesh Ramachandra Kini V. Vakilian Tina Behnia Jaidev Gill Christos Thrampoulidis 17 1 0 13 Jun 2023
Poster: Link between Bias, Node Sensitivity and Long-Tail Distribution in trained DNNs Mahum Naseer Muhammad Shafique AI4CE 8 0 0 29 Mar 2023
Delving Deep into Simplicity Bias for Long-Tailed Image Recognition Xiu-Shen Wei Xuhao Sun Yang Shen Anqi Xu Peng Wang Faen Zhang 33 1 0 07 Feb 2023
Learning Prototype Classifiers for Long-Tailed Recognition Saurabh Sharma Yongqin Xian Ning Yu Ambuj K. Singh 19 13 0 01 Feb 2023
Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data Harsh Rangwani Sumukh K Aithal Mayank Mishra R. Venkatesh Babu 31 27 0 28 Dec 2022
Compound Batch Normalization for Long-tailed Image Classification Lechao Cheng Chaowei Fang Dingwen Zhang Guanbin Li Gang Huang 37 11 0 02 Dec 2022
Inverse Image Frequency for Long-tailed Image Recognition Konstantinos Panagiotis Alexandridis Shang Luo Anh H. Nguyen Jiankang Deng S. Zafeiriou 38 9 0 11 Sep 2022
Difficulty-Net: Learning to Predict Difficulty for Long-Tailed Recognition Saptarshi Sinha Hiroki Ohashi 11 6 0 07 Sep 2022
Towards Calibrated Hyper-Sphere Representation via Distribution Overlap Coefficient for Long-tailed Learning Hualiang Wang Siming Fu Xiaoxuan He Han Fang Zuozhu Liu Haoji Hu 28 17 0 22 Aug 2022
Balanced Contrastive Learning for Long-Tailed Visual Recognition Jianggang Zhu Z. Wang Jingjing Chen Yi-Ping Phoebe Chen Yueping Jiang 24 167 0 19 Jul 2022
Balanced Product of Calibrated Experts for Long-Tailed Recognition Emanuel Sanchez Aimar Arvi Jonnarth M. Felsberg Marco Kuhlmann 15 22 0 10 Jun 2022
ELM: Embedding and Logit Margins for Long-Tail Learning Wittawat Jitkrittum A. Menon A. S. Rawat Surinder Kumar 26 11 0 27 Apr 2022
Long-Tailed Recognition via Weight Balancing Shaden Alshammari Yu-xiong Wang Deva Ramanan Shu Kong MQ 17 140 0 27 Mar 2022
VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual Recognition Changyao Tian Wenhai Wang Xizhou Zhu Jifeng Dai Yu Qiao VLM 30 69 0 26 Nov 2021
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition Boyan Zhou Quan Cui Xiu-Shen Wei Zhao-Min Chen 247 782 0 05 Dec 2019