Long-tail learning via logit adjustment

14 July 2020

Sanjiv Kumar

Papers citing "Long-tail learning via logit adjustment"

50 / 422 papers shown

Title
DiGeo: Discriminative Geometry-Aware Learning for Generalized Few-Shot Object Detection Jiawei Ma Yulei Niu Jincheng Xu Shiyuan Huang G. Han Shih-Fu Chang ObjD 19 36 0 16 Mar 2023
On the Implicit Geometry of Cross-Entropy Parameterizations for Label-Imbalanced Data Tina Behnia Ganesh Ramachandra Kini V. Vakilian Christos Thrampoulidis 31 17 0 14 Mar 2023
General Loss Functions Lead to (Approximate) Interpolation in High Dimensions Kuo-Wei Lai Vidya Muthukumar 14 5 0 13 Mar 2023
Long-tailed Classification from a Bayesian-decision-theory Perspective Bolian Li Ruqi Zhang 20 1 0 10 Mar 2023
Imbalanced Open Set Domain Adaptation via Moving-threshold Estimation and Gradual Alignment Jinghan Ru Jun Tian Zhekai Du Chengwei Xiao Jingjing Li H. Shen 25 10 0 08 Mar 2023
No One Left Behind: Improving the Worst Categories in Long-Tailed Learning Yingxiao Du Jianxin Wu 24 13 0 07 Mar 2023
Pseudo Labels Regularization for Imbalanced Partial-Label Learning Mingyu Xu Zheng Lian 19 1 0 06 Mar 2023
Rethink Long-tailed Recognition with Vision Transformers Zhengzhuo Xu Shuo Yang Xingjun Wang Chun Yuan 8 4 0 28 Feb 2023
GraphSR: A Data Augmentation Algorithm for Imbalanced Node Classification Mengting Zhou Zhiguo Gong 6 19 0 24 Feb 2023
Cluster-based Deep Ensemble Learning for Emotion Classification in Internet Memes Xiaoyu Guo Jing Ma A. Zubiaga 19 0 0 16 Feb 2023
NUAA-QMUL-AIIT at Memotion 3: Multi-modal Fusion with Squeeze-and-Excitation for Internet Meme Emotion Analysis Xiaoyu Guo Jing Ma A. Zubiaga 11 3 0 16 Feb 2023
CUDA: Curriculum of Data Augmentation for Long-Tailed Recognition Sumyeong Ahn Jongwoo Ko Se-Young Yun 16 30 0 10 Feb 2023
Long-Tailed Partial Label Learning via Dynamic Rebalancing Feng Hong Jiangchao Yao Zhihan Zhou Ya-Qin Zhang Yanfeng Wang 16 26 0 10 Feb 2023
APAM: Adaptive Pre-training and Adaptive Meta Learning in Language Model for Noisy Labels and Long-tailed Learning Sunyi Chi B. Dong Yiming Xu Zhenyu Shi Zheng Du NoLa 31 3 0 06 Feb 2023
Revisiting Long-tailed Image Classification: Survey and Benchmarks with New Evaluation Metrics Chaowei Fang Dingwen Zhang Wen Zheng Xue Li Le Yang Lechao Cheng Junwei Han VLM 23 4 0 03 Feb 2023
Learning Prototype Classifiers for Long-Tailed Recognition Saurabh Sharma Yongqin Xian Ning Yu Ambuj K. Singh 10 13 0 01 Feb 2023
NP-Match: Towards a New Probabilistic Model for Semi-Supervised Learning Jianfeng Wang Xiaolin Hu Thomas Lukasiewicz AAML BDL 19 0 0 31 Jan 2023
DELTA: degradation-free fully test-time adaptation Bowen Zhao Chen Chen Shutao Xia TTA 73 55 0 30 Jan 2023
Debiased Fine-Tuning for Vision-language Models by Prompt Regularization Beier Zhu Yulei Niu Saeil Lee Minhoe Hur Hanwang Zhang VLM VPVLM 19 22 0 29 Jan 2023
Robust variance-regularized risk minimization with concomitant scaling Matthew J. Holland 21 1 0 27 Jan 2023
Contrast with Major Classifier Vectors for Federated Medical Relation Extraction with Heterogeneous Label Distribution Chunhui Du Hao He Yaohui Jin 8 2 0 13 Jan 2023
Effective Decision Boundary Learning for Class Incremental Learning Chaoyue Ding Kunchi Li Jun Wan Shan Yu CLL 4 1 0 12 Jan 2023
Neighborhood-Regularized Self-Training for Learning with Few Labels Ran Xu Yue Yu Hejie Cui Xuan Kan Yanqiao Zhu Joyce C. Ho Chao Zhang Carl Yang SSL 19 23 0 10 Jan 2023
Triple-stream Deep Metric Learning of Great Ape Behavioural Actions Otto Brookes Majid Mirmehdi H. Kühl T. Burghardt 12 14 0 06 Jan 2023
Understanding Imbalanced Semantic Segmentation Through Neural Collapse Zhisheng Zhong Jiequan Cui Yibo Yang Xiaoyang Wu Xiaojuan Qi X. Zhang Jiaya Jia 124 45 0 03 Jan 2023
Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data Harsh Rangwani Sumukh K Aithal Mayank Mishra R. Venkatesh Babu 11 27 0 28 Dec 2022
Switching to Discriminative Image Captioning by Relieving a Bottleneck of Reinforcement Learning Ukyo Honda Taro Watanabe Yuji Matsumoto 6 9 0 06 Dec 2022
Learning Imbalanced Data with Vision Transformers Zhengzhuo Xu R. Liu Shuo Yang Zenghao Chai Chun Yuan 19 31 0 05 Dec 2022
Avoiding spurious correlations via logit correction Sheng Liu Xu Zhang Nitesh Sekhar Yue Wu Prateek Singhal C. Fernandez‐Granda 20 29 0 02 Dec 2022
Beyond Invariance: Test-Time Label-Shift Adaptation for Distributions with "Spurious" Correlations Qingyao Sun Kevin Murphy S. Ebrahimi Alexander DÁmour OOD VLM 16 9 0 28 Nov 2022
Minority-Oriented Vicinity Expansion with Attentive Aggregation for Video Long-Tailed Recognition WonJun Moon Hyun Seok Seong Jae-Pil Heo VLM 17 5 0 24 Nov 2022
A Benchmark of Long-tailed Instance Segmentation with Noisy Labels Guanlin Li Guowen Xu Tianwei Zhang NoLa ISeg 11 0 0 24 Nov 2022
Dynamic Loss For Robust Learning Shenwang Jiang Jianan Li Jizhou Zhang Ying Wang Tingfa Xu NoLa OOD 15 6 0 22 Nov 2022
Supervised Contrastive Learning on Blended Images for Long-tailed Recognition Minki Jeong Changick Kim 23 1 0 22 Nov 2022
Multi-Spectral Image Classification with Ultra-Lean Complex-Valued Models Utkarsh Singhal Stella X. Yu Zackery Steck Scott Kangas Aaron A. Reite 6 3 0 21 Nov 2022
Parametric Classification for Generalized Category Discovery: A Baseline Study Xin Wen Bingchen Zhao Xiaojuan Qi 22 67 0 21 Nov 2022
An Embarrassingly Simple Baseline for Imbalanced Semi-Supervised Learning Haoxing Chen Yue Fan Yidong Wang Jindong Wang Bernt Schiele Xingxu Xie Marios Savvides Bhiksha Raj 16 12 0 20 Nov 2022
Learning from Long-Tailed Noisy Data with Sample Selection and Balanced Loss Lefan Zhang Zhang-Hao Tian Wujun Zhou W. Wang NoLa 19 2 0 20 Nov 2022
Long-tailed Food Classification Jiangpeng He Luotao Lin H. Eicher-Miller Fengqing M Zhu 28 22 0 26 Oct 2022
Respecting Transfer Gap in Knowledge Distillation Yulei Niu Long Chen Chan Zhou Hanwang Zhang 19 23 0 23 Oct 2022
Hierarchical classification at multiple operating points Jack Valmadre 14 14 0 19 Oct 2022
The Equalization Losses: Gradient-Driven Training for Long-tailed Object Recognition Jingru Tan Bo-wen Li Xin Lu Yongqiang Yao F. Yu Tong He Wanli Ouyang 34 8 0 11 Oct 2022
Adaptive Ranking-based Sample Selection for Weakly Supervised Class-imbalanced Text Classification Linxin Song Jieyu Zhang Tianxiang Yang M. Goto 15 3 0 06 Oct 2022
Are All Losses Created Equal: A Neural Collapse Perspective Jinxin Zhou Chong You Xiao Li Kangning Liu Sheng Liu Qing Qu Zhihui Zhu 25 57 0 04 Oct 2022
LPT: Long-tailed Prompt Tuning for Image Classification Bowen Dong Pan Zhou Shuicheng Yan W. Zuo VPVLM VLM 41 53 0 03 Oct 2022
IMB-NAS: Neural Architecture Search for Imbalanced Datasets Rahul Duggal ShengYun Peng Hao Zhou Duen Horng Chau 6 2 0 30 Sep 2022
SoLar: Sinkhorn Label Refinery for Imbalanced Partial-Label Learning Haobo Wang Mingxuan Xia Yixuan Li Yuren Mao Lei Feng Gang Chen J. Zhao 44 38 0 21 Sep 2022
Cross Project Software Vulnerability Detection via Domain Adaptation and Max-Margin Principle Van Nguyen Trung Le C. Tantithamthavorn John C. Grundy Hung Nguyen Dinh Q. Phung 44 4 0 19 Sep 2022
Importance Tempering: Group Robustness for Overparameterized Models Yiping Lu Wenlong Ji Zachary Izzo Lexing Ying 37 7 0 19 Sep 2022
Class-Level Logit Perturbation Mengyang Li Fengguang Su O. Wu Tianjin University AAML 23 3 0 13 Sep 2022