Long-tail learning via logit adjustment

14 July 2020

Sanjiv Kumar

Papers citing "Long-tail learning via logit adjustment"

50 / 422 papers shown

Title
DAFA: Distance-Aware Fair Adversarial Training Hyungyu Lee Saehyung Lee Hyemi Jang Junsung Park Ho Bae Sungroh Yoon 23 6 0 23 Jan 2024
Double-Bounded Optimal Transport for Advanced Clustering and Classification Liangliang Shi Zhaoqi Shen Junchi Yan OT 19 2 0 21 Jan 2024
Not all Minorities are Equal: Empty-Class-Aware Distillation for Heterogeneous Federated Learning Kuangpu Guo Yuhe Ding Jian Liang R. He Zilei Wang Tieniu Tan FedML 20 1 0 04 Jan 2024
Twice Class Bias Correction for Imbalanced Semi-Supervised Learning Lan Li Bowen Tao Lu Han De-Chuan Zhan Han-jia Ye SSL 19 3 0 27 Dec 2023
Revealing the Proximate Long-Tail Distribution in Compositional Zero-Shot Learning Chenyi Jiang Haofeng Zhang CoGe 18 5 0 26 Dec 2023
Three Heads Are Better Than One: Complementary Experts for Long-Tailed Semi-supervised Learning Chengcheng Ma Ismail Elezi Jiankang Deng Weiming Dong Changsheng Xu 11 9 0 25 Dec 2023
Debiased Learning for Remote Sensing Data Chun-Hsiao Yeh Xudong Wang Stella X. Yu Charles Hill Zackery Steck Scott Kangas Aaron A. Reite 15 0 0 24 Dec 2023
Out-of-Distribution Detection in Long-Tailed Recognition with Calibrated Outlier Class Learning Wenjun Miao Guansong Pang Tianqi Li Xiaolong Bai Jingyi Zheng OODD 28 14 0 17 Dec 2023
CLAF: Contrastive Learning with Augmented Features for Imbalanced Semi-Supervised Learning Bowen Tao Lan Li Xin-Chun Li De-Chuan Zhan 13 0 0 15 Dec 2023
EAT: Towards Long-Tailed Out-of-Distribution Detection Tong Wei Bo-Lin Wang Min-Ling Zhang OODD 16 13 0 14 Dec 2023
GraphMETRO: Mitigating Complex Graph Distribution Shifts via Mixture of Aligned Experts Shirley Wu Kaidi Cao Bruno Ribeiro James Y. Zou J. Leskovec OOD 16 3 0 07 Dec 2023
FRAPPE: A Group Fairness Framework for Post-Processing Everything Alexandru Tifrea Preethi Lahoti Ben Packer Yoni Halpern Ahmad Beirami Flavien Prost 47 6 0 05 Dec 2023
GeNIe: Generative Hard Negative Images Through Diffusion Soroush Abbasi Koohpayegani Anuj Singh K. Navaneet Hadi Jamali Rad Hamed Pirsiavash VLM DiffM 21 4 0 05 Dec 2023
Long-Tail Learning with Rebalanced Contrastive Loss Charika De Alvis Dishanika Denipitiyage Suranga Seneviratne 19 1 0 04 Dec 2023
Class Distribution Shifts in Zero-Shot Learning: Learning Robust Representations Y. Slavutsky Y. Benjamini VLM OOD 25 0 0 30 Nov 2023
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 77 2 0 23 Nov 2023
Federated Skewed Label Learning with Logits Fusion Yuwei Wang Runhan Li Hao Tan Xue Jiang Sheng Sun Min Liu Bo Gao Zhiyuan Wu FedML 25 6 0 14 Nov 2023
Online Continual Learning via Logit Adjusted Softmax Zhehao Huang Tao Li Chenhe Yuan Yingwen Wu Xiaolin Huang CLL 44 3 0 11 Nov 2023
Long-Tailed Learning as Multi-Objective Optimization Weiqi Li Fan Lyu Fanhua Shang Liang Wan Wei Feng 13 4 0 31 Oct 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 18 13 0 30 Oct 2023
Responsible AI (RAI) Games and Ensembles Yash Gupta Runtian Zhai A. Suggala Pradeep Ravikumar 10 0 0 28 Oct 2023
Group Robust Classification Without Any Group Information Christos Tsirigotis João Monteiro Pau Rodríguez David Vazquez Aaron Courville OOD 19 22 0 28 Oct 2023
Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition Divin Yan Gengchen Wei Chen Yang Shengzhong Zhang Zengfeng Huang AI4CE 31 11 0 28 Oct 2023
How Re-sampling Helps for Long-Tail Learning? Jiang-Xin Shi Tong Wei Yuke Xiang Yu-Feng Li 22 20 0 27 Oct 2023
Combating Representation Learning Disparity with Geometric Harmonization Zhihan Zhou Jiangchao Yao Feng Hong Ya-Qin Zhang Bo Han Yanfeng Wang 18 12 0 26 Oct 2023
Deep Imbalanced Regression via Hierarchical Classification Adjustment Haipeng Xiong Angela Yao 18 3 0 26 Oct 2023
Data Optimization in Deep Learning: A Survey Ou Wu Rujing Yao 28 1 0 25 Oct 2023
DeCrisisMB: Debiased Semi-Supervised Learning for Crisis Tweet Classification via Memory Bank Henry Peng Zou Yue Zhou Weizhi Zhang Cornelia Caragea 14 9 0 23 Oct 2023
Heterophily-Based Graph Neural Network for Imbalanced Classification Zirui Liang Yuntao Li Tianjin Huang A. Saxena Yulong Pei Mykola Pechenizkiy 40 0 0 12 Oct 2023
Long-Tailed Classification Based on Coarse-Grained Leading Forest and Multi-Center Loss Jinye Yang Ji Xu Di Wu Jianhang Tang Shaobo Li Guoyin Wang 11 0 0 12 Oct 2023
Generalized Logit Adjustment: Calibrating Fine-tuned Models by Removing Label Bias in Foundation Models Beier Zhu Kaihua Tang Qianru Sun Hanwang Zhang 14 21 0 12 Oct 2023
Survey on Imbalanced Data, Representation Learning and SEP Forecasting Josias Moukpe AI4TS 24 0 0 11 Oct 2023
A Unified Generalization Analysis of Re-Weighting and Logit-Adjustment for Imbalanced Learning Zitai Wang Qianqian Xu Zhiyong Yang Yuan He Xiaochun Cao Qingming Huang 15 24 0 07 Oct 2023
Towards Distribution-Agnostic Generalized Category Discovery Jianhong Bai Zuo-Qiang Liu Hualiang Wang Ruizhe Chen Lianrui Mu Xiaomeng Li Joey Tianyi Zhou Yang Feng Jian Wu Haoji Hu 37 9 0 02 Oct 2023
Engineering the Neural Collapse Geometry of Supervised-Contrastive Loss Jaidev Gill V. Vakilian Christos Thrampoulidis 6 1 0 02 Oct 2023
SCoRe: Submodular Combinatorial Representation Learning Anay Majee Suraj Kothawade Krishnateja Killamsetty Rishabh K. Iyer 11 1 0 29 Sep 2023
A dual-branch model with inter- and intra-branch contrastive loss for long-tailed recognition Qiong Chen Tianlin Huang Geren Zhu Enlu Lin MQ 16 11 0 28 Sep 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 14 8 0 19 Sep 2023
Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts Jiang-Xin Shi Tong Wei Zhi-Hua Zhou Jiejing Shao Xin-Yan Han Yu-Feng Li 24 26 0 18 Sep 2023
Distributionally Robust Post-hoc Classifiers under Prior Shifts Jiaheng Wei Harikrishna Narasimhan Ehsan Amid Wenjun Chu Yang Liu Abhishek Kumar OOD 42 16 0 16 Sep 2023
RepSGG: Novel Representations of Entities and Relationships for Scene Graph Generation Hengyue Liu B. Bhanu 14 3 0 06 Sep 2023
BeeTLe: A Framework for Linear B-Cell Epitope Prediction and Classification Xiao Yuan 22 3 0 05 Sep 2023
Towards Long-Tailed Recognition for Graph Classification via Collaborative Experts Si-Yu Yi Zhengyan Mao Wei Ju Yong-Dao Zhou Luchen Liu Xiao Luo Ming Zhang 25 7 0 31 Aug 2023
Robust Long-Tailed Learning via Label-Aware Bounded CVaR Hong Zhu Runpeng Yu Xingui Tang Yifei Wang Yuan Fang Yisen Wang 19 0 0 29 Aug 2023
Dynamic Residual Classifier for Class Incremental Learning Xiu-yan Chen Xiaobin Chang 14 16 0 25 Aug 2023
Dual Compensation Residual Networks for Class Imbalanced Learning Rui Hou Hong Chang Bingpeng Ma Shiguang Shan Xilin Chen 18 5 0 25 Aug 2023
PromptMRG: Diagnosis-Driven Prompts for Medical Report Generation Haibo Jin Haoxuan Che Yi-Mou Lin Haoxing Chen MedIm 25 56 0 24 Aug 2023
MDCS: More Diverse Experts with Consistency Self-distillation for Long-tailed Recognition QiHao Zhao Chen Jiang Wei Hu Fangying Zhang Jun Liu 27 11 0 19 Aug 2023
Label Shift Adapter for Test-Time Adaptation under Covariate and Label Shifts S. Park Seunghan Yang Jaegul Choo Sungrack Yun VLM TTA 25 17 0 17 Aug 2023
CBA: Improving Online Continual Learning via Continual Bias Adaptor Quanziang Wang Renzhen Wang Yichen Wu Xixi Jia Deyu Meng CLL 14 17 0 14 Aug 2023