Long-tail learning via logit adjustment

14 July 2020

Sanjiv Kumar

Papers citing "Long-tail learning via logit adjustment"

50 / 57 papers shown

Title
A Reverse Causal Framework to Mitigate Spurious Correlations for Debiasing Scene Graph Generation Shuzhou Sun Li Liu Tianpeng Liu Shuaifeng Zhi Ming-Ming Cheng J. Heikkilä Yongxiang Liu CML 85 0 0 29 May 2025
A Square Peg in a Square Hole: Meta-Expert for Long-Tailed Semi-Supervised Learning Yaxin Hou Yuheng Jia 35 0 0 22 May 2025
Mitigating Spurious Correlations with Causal Logit Perturbation Xiaoling Zhou Wei Ye Rui Xie Shikun Zhang CML 62 0 0 21 May 2025
Enhancing the Performance of Global Model by Improving the Adaptability of Local Models in Federated Learning Wujun Zhou Shu Ding Zechao Li Wei Wang FedML 58 0 0 15 May 2025
Cost-Sensitive Learning for Long-Tailed Temporal Action Segmentation Zhanzhong Pang Fadime Sener Shrinivas Ramasubramanian Angela Yao 78 1 0 24 Mar 2025
UniHDSA: A Unified Relation Prediction Approach for Hierarchical Document Structure Analysis Jiawei Wang Kai Hu Qiang Huo 72 0 0 20 Mar 2025
Long-tailed Adversarial Training with Self-Distillation Seungju Cho Hongsin Lee Changick Kim AAML TTA 387 0 0 09 Mar 2025
Rethinking the Bias of Foundation Model under Long-tailed Distribution Jiahao Chen Bin Qin Jiangmeng Li Hao Chen Fuchun Sun 117 0 0 27 Jan 2025
Enhancing Robust Fairness via Confusional Spectral Regularization Gaojie Jin Sihao Wu Jiaxu Liu Tianjin Huang Ronghui Mu 145 1 0 22 Jan 2025
Class Imbalance in Anomaly Detection: Learning from an Exactly Solvable Model F.S. Pezzicoli V. Ros F.P. Landes M. Baity-Jesi 52 2 0 20 Jan 2025
Combating Label Noise With A General Surrogate Model For Sample Selection Chao Liang Linchao Zhu Humphrey Shi Yi Yang VLM NoLa 70 2 0 31 Dec 2024
Label Distribution Shift-Aware Prediction Refinement for Test-Time Adaptation M-U Jang Hye Won Chung TTA 397 0 0 20 Nov 2024
Taming the Long Tail in Human Mobility Prediction Xiaohang Xu Renhe Jiang Chuang Yang Z. Fan Kaoru Sezaki 64 2 0 19 Oct 2024
Fractal Calibration for long-tailed object detection Konstantinos Panagiotis Alexandridis Ismail Elezi Jiankang Deng Anh H. Nguyen Shan Luo 344 0 0 15 Oct 2024
Compositional Risk Minimization Divyat Mahajan Mohammad Pezeshki Ioannis Mitliagkas Kartik Ahuja Pascal Vincent Pascal Vincent 40 4 0 08 Oct 2024
Multiplicative Logit Adjustment Approximates Neural-Collapse-Aware Decision Boundary Adjustment Naoya Hasegawa Issei Sato 68 0 0 26 Sep 2024
When resampling/reweighting improves feature learning in imbalanced classification?: A toy-model study Tomoyuki Obuchi Toshiyuki Tanaka 82 0 0 09 Sep 2024
BCTR: Bidirectional Conditioning Transformer for Scene Graph Generation Peng Hao Xiaobing Wang Yingying Jiang Hanchao Jia Xiaoshuai Hao Shaowei Cui Junhang Wei Xiaoshuai Hao 82 3 0 26 Jul 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 98 2 0 23 Nov 2023
Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition Divin Yan Gengchen Wei Chen Yang Shengzhong Zhang Zengfeng Huang AI4CE 71 11 0 28 Oct 2023
PanopticNeRF-360: Panoramic 3D-to-2D Label Transfer in Urban Scenes Xiao Fu Shangzhan Zhang Tianrun Chen Yichong Lu Xiaowei Zhou Andreas Geiger Yiyi Liao 3DPC 40 8 0 19 Sep 2023
Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition from a Domain Adaptation Perspective Muhammad Abdullah Jamal Matthew A. Brown Ming-Hsuan Yang Liqiang Wang Boqing Gong 59 261 0 24 Mar 2020
Equalization Loss for Long-Tailed Object Recognition Jingru Tan Changbao Wang Buyu Li Quanquan Li Wanli Ouyang Changqing Yin Junjie Yan 306 461 0 11 Mar 2020
Apportioned Margin Approach for Cost Sensitive Large Margin Classifiers Lee-Ad Gottlieb Eran Kaufman A. Kontorovich 14 4 0 04 Feb 2020
Identifying and Compensating for Feature Deviation in Imbalanced Deep Learning Han-Jia Ye Hong-You Chen De-Chuan Zhan Wei-Lun Chao 50 101 0 06 Jan 2020
To Balance or Not to Balance: A Simple-yet-Effective Approach for Learning with Long-Tailed Distributions Junjie Zhang Lingqiao Liu Peng Wang Chunhua Shen 46 25 0 10 Dec 2019
Adjusting Decision Boundary for Class Imbalanced Learning Byungju Kim Junmo Kim 96 76 0 04 Dec 2019
Decoupling Representation and Classifier for Long-Tailed Recognition Bingyi Kang Saining Xie Marcus Rohrbach Zhicheng Yan Albert Gordo Jiashi Feng Yannis Kalantidis OODD 155 1,203 0 21 Oct 2019
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss Kaidi Cao Colin Wei Adrien Gaidon Nikos Arechiga Tengyu Ma 76 1,583 0 18 Jun 2019
When Does Label Smoothing Help? Rafael Müller Simon Kornblith Geoffrey E. Hinton UQCV 120 1,931 0 06 Jun 2019
Large-Scale Long-Tailed Recognition in an Open World Ziwei Liu Zhongqi Miao Xiaohang Zhan Jiayun Wang Boqing Gong Stella X. Yu 113 1,148 0 10 Apr 2019
Striking the Right Balance with Uncertainty Salman Khan Munawar Hayat Waqas Zamir Jianbing Shen Ling Shao 58 174 0 22 Jan 2019
Class-Balanced Loss Based on Effective Number of Samples Huayu Chen Menglin Jia Nayeon Lee Yang Song Serge J. Belongie 149 2,253 0 16 Jan 2019
What is the Effect of Importance Weighting in Deep Learning? Jonathon Byrd Zachary Chase Lipton 72 458 0 08 Dec 2018
Accurate Uncertainties for Deep Learning Using Calibrated Regression Volodymyr Kuleshov Nathan Fenner Stefano Ermon BDL UQCV 131 626 0 01 Jul 2018
Exploring the Limits of Weakly Supervised Pretraining D. Mahajan Ross B. Girshick Vignesh Ramanathan Kaiming He Manohar Paluri Yixuan Li Ashwin R. Bharambe Laurens van der Maaten VLM 158 1,362 0 02 May 2018
Feature Transfer Learning for Deep Face Recognition with Under-Represented Data Xi Yin Xiang Yu Kihyuk Sohn Xiaoming Liu Manmohan Chandraker CVBM 50 35 0 23 Mar 2018
Additive Margin Softmax for Face Verification Feng Wang Weiyang Liu Haijun Liu Jian Cheng CVBM 67 1,270 0 17 Jan 2018
The Implicit Bias of Gradient Descent on Separable Data Daniel Soudry Elad Hoffer Mor Shpigel Nacson Suriya Gunasekar Nathan Srebro 60 908 0 27 Oct 2017
A systematic study of the class imbalance problem in convolutional neural networks Mateusz Buda A. Maki Maciej A. Mazurowski 99 2,335 0 15 Oct 2017
The Devil is in the Tails: Fine-grained Classification in the Wild Grant Van Horn Pietro Perona VLM 49 206 0 05 Sep 2017
On Calibration of Modern Neural Networks Chuan Guo Geoff Pleiss Yu Sun Kilian Q. Weinberger UQCV 181 5,774 0 14 Jun 2017
Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour Priya Goyal Piotr Dollár Ross B. Girshick P. Noordhuis Lukasz Wesolowski Aapo Kyrola Andrew Tulloch Yangqing Jia Kaiming He 3DH 87 3,666 0 08 Jun 2017
Learning with Average Top-k Loss Yanbo Fan Siwei Lyu Yiming Ying Bao-Gang Hu DML 109 103 0 24 May 2017
SphereFace: Deep Hypersphere Embedding for Face Recognition Weiyang Liu Yandong Wen Zhiding Yu Ming Li Bhiksha Raj Le Song CVBM 203 2,790 0 26 Apr 2017
Analysis and Optimization of Loss Functions for Multiclass, Top-k, and Multilabel Classification Maksim Lapin Matthias Hein Bernt Schiele 54 102 0 12 Dec 2016
Large-Margin Softmax Loss for Convolutional Neural Networks Weiyang Liu Yandong Wen Zhiding Yu Meng Yang CVBM 58 1,454 0 07 Dec 2016
Range Loss for Deep Face Recognition with Long-tail Xiao Zhang Zhiyuan Fang Yandong Wen Zhifeng Li Yu Qiao CVBM 295 448 0 28 Nov 2016
Reviving Threshold-Moving: a Simple Plug-in Bagging Ensemble for Binary and Multiclass Imbalanced Data Guillem Collell D. Prelec K. Patil 19 43 0 28 Jun 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.2K 192,638 0 10 Dec 2015