Long-tail learning via logit adjustment

14 July 2020

Sanjiv Kumar

Papers citing "Long-tail learning via logit adjustment"

50 / 422 papers shown

Title
Making Small Language Models Efficient Reasoners: Intervention, Supervision, Reinforcement Xuechen Zhang Zijian Huang Chenshun Ni Ziyang Xiong J. Chen Samet Oymak ReLM LRM 28 0 0 12 May 2025
FLAM: Frame-Wise Language-Audio Modeling Yusong Wu Christos Tsirigotis Ke Chen Cheng-Zhi Anna Huang Aaron C. Courville Oriol Nieto Prem Seetharaman Justin Salamon 43 0 0 08 May 2025
ULFine: Unbiased Lightweight Fine-tuning for Foundation-Model-Assisted Long-Tailed Semi-Supervised Learning Enhao Zhang Chaohua Li Chuanxing Geng Songcan Chen 52 0 0 08 May 2025
Handling Imbalanced Pseudolabels for Vision-Language Models with Concept Alignment and Confusion-Aware Calibrated Margin Yuchen Wang X. Bai X. Li Weili Guan Liqiang Nie Xinyang Chen VLM 44 0 0 04 May 2025
Focal-SAM: Focal Sharpness-Aware Minimization for Long-Tailed Classification Sicong Li Qianqian Xu Zhiyong Yang Zitai Wang L. Zhang Xiaochun Cao Q. Huang 53 0 0 03 May 2025
LIFT+: Lightweight Fine-Tuning for Long-Tail Learning Jiang-Xin Shi Tong Wei Yu-Feng Li 25 0 0 17 Apr 2025
Cost-Sensitive Learning for Long-Tailed Temporal Action Segmentation Zhanzhong Pang Fadime Sener Shrinivas Ramasubramanian Angela Yao 54 1 0 24 Mar 2025
A Causal Adjustment Module for Debiasing Scene Graph Generation Li Liu Shuzhou Sun Shuaifeng Zhi Fan Shi Zhen Liu J. Heikkilä Yongxiang Liu CML 52 2 0 22 Mar 2025
From Head to Tail: Efficient Black-box Model Inversion Attack via Long-tailed Learning Ziang Li Hongguang Zhang Juan Wang Meihui Chen Hongxin Hu Wenzhe Yi Xiaoyang Xu Mengda Yang Chenjun Ma 57 0 0 20 Mar 2025
UniHDSA: A Unified Relation Prediction Approach for Hierarchical Document Structure Analysis Jiawei Wang Kai Hu Qiang Huo 53 0 0 20 Mar 2025
Classifying Long-tailed and Label-noise Data via Disentangling and Unlearning Chen Shu Mengke Li Yiqun Zhang Yang Lu Bo Han Yiu-ming Cheung Hanzi Wang NoLa 61 0 0 14 Mar 2025
FedPCA: Noise-Robust Fair Federated Learning via Performance-Capacity Analysis Nannan Wu Zengqiang Yan Nong Sang Li Yu Chang Wen Chen 43 0 0 13 Mar 2025
Project-Probe-Aggregate: Efficient Fine-Tuning for Group Robustness B. Zhu Jiequan Cui H. Zhang Chi Zhang 77 0 0 12 Mar 2025
Fair Federated Medical Image Classification Against Quality Shift via Inter-Client Progressive State Matching Nannan Wu Zhuo Kuang Zengqiang Yan Ping Wang Li Yu FedML 49 0 0 12 Mar 2025
You Are Your Own Best Teacher: Achieving Centralized-level Performance in Federated Learning under Heterogeneous and Long-tailed Data Shanshan Yan Zexi Li Chao-Xiang Wu Meng Pang Yang Lu Yan Yan Hanzi Wang FedML 55 0 0 10 Mar 2025
Long-tailed Adversarial Training with Self-Distillation Seungju Cho Hongsin Lee Changick Kim AAML TTA 115 0 0 09 Mar 2025
Subgraph Federated Learning for Local Generalization Sungwon Kim Yoonho Lee Yunhak Oh Namkyeong Lee Sukwon Yun Junseok Lee Sein Kim Carl Yang Chanyoung Park FedML OOD 79 1 0 06 Mar 2025
Deep Minimax Classifiers for Imbalanced Datasets with a Small Number of Minority Samples Hansung Choi Daewon Seo 41 0 0 24 Feb 2025
Large Language Model-based Augmentation for Imbalanced Node Classification on Text-Attributed Graphs Leyao Wang Yu-Chiang Frank Wang Bo Ni Yuying Zhao Tyler Derr 38 0 0 28 Jan 2025
Rethinking the Bias of Foundation Model under Long-tailed Distribution Jiahao Chen Bin Qin Jiangmeng Li Hao Chen Bing-Huang Su 77 0 0 27 Jan 2025
Making Reliable and Flexible Decisions in Long-tailed Classification Bolian Li Ruqi Zhang 84 0 0 23 Jan 2025
Enhancing Robust Fairness via Confusional Spectral Regularization Gaojie Jin Sihao Wu Jiaxu Liu Tianjin Huang Ronghui Mu 69 1 0 22 Jan 2025
A margin-based replacement for cross-entropy loss Michael W. Spratling Heiko H. Schütt 61 0 0 21 Jan 2025
Class Imbalance in Anomaly Detection: Learning from an Exactly Solvable Model F.S. Pezzicoli V. Ros F.P. Landes M. Baity-Jesi 32 1 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 39 2 0 31 Dec 2024
Prior2Posterior: Model Prior Correction for Long-Tailed Learning S Divakar Bhat Amit More Mudit Soni Surbhi Agrawal 69 0 0 21 Dec 2024
Difficulty-aware Balancing Margin Loss for Long-tailed Recognition Minseok Son Inyong Koo Jinyoung Park Changick Kim 66 0 0 20 Dec 2024
SSE-SAM: Balancing Head and Tail Classes Gradually through Stage-Wise SAM Xingyu Lyu Qianqian Xu Zhiyong Yang Shaojie Lyu Qingming Huang 64 0 0 18 Dec 2024
CALA: A Class-Aware Logit Adapter for Few-Shot Class-Incremental Learning Chengyan Liu Linglan Zhao Fan Lyu Kaile Du Fuyuan Hu Tao Zhou CLL 71 0 0 17 Dec 2024
The Pitfalls of Memorization: When Memorization Hurts Generalization Reza Bayat Mohammad Pezeshki Elvis Dohmatob David Lopez-Paz Pascal Vincent OOD 92 3 0 10 Dec 2024
MVD: A Multi-Lingual Software Vulnerability Detection Framework Boyu Zhang T. H. Le M. Babar 67 0 0 09 Dec 2024
Label Distribution Shift-Aware Prediction Refinement for Test-Time Adaptation M-U Jang Hye Won Chung TTA 129 0 0 20 Nov 2024
Selective Attention: Enhancing Transformer through Principled Context Control Xuechen Zhang Xiangyu Chang Mingchen Li A. Roy-Chowdhury J. Chen Samet Oymak 65 3 0 19 Nov 2024
Joint Vision-Language Social Bias Removal for CLIP Haoyu Zhang Yangyang Guo Mohan S. Kankanhalli VLM 67 0 0 19 Nov 2024
Zipfian Whitening Sho Yokoi Han Bao Hiroto Kurita Hidetoshi Shimodaira 27 0 0 01 Nov 2024
Dataset Awareness is not Enough: Implementing Sample-level Tail Encouragement in Long-tailed Self-supervised Learning Haowen Xiao Guanghui Liu Xinyi Gao Yang Li Fengmao Lv Jielei Chu 16 0 0 30 Oct 2024
Improving Visual Prompt Tuning by Gaussian Neighborhood Minimization for Long-Tailed Visual Recognition Mengke Li Y. Liu Yang Lu Yiqun Zhang Yiu-ming Cheung Hui Huang VLM 26 2 0 28 Oct 2024
Long-Tailed Out-of-Distribution Detection via Normalized Outlier Distribution Adaptation Wenjun Miao Guansong Pang Jin Zheng Xiao Bai OODD 31 1 0 28 Oct 2024
Enhancing Zero-Shot Vision Models by Label-Free Prompt Distribution Learning and Bias Correcting Xingyu Zhu B. Zhu Yi Tan Shuo Wang Y. Hao Hanwang Zhang VLM VPVLM 29 1 0 25 Oct 2024
Granularity Matters in Long-Tail Learning Shizhen Zhao Xin Wen J. Liu Chuofan Ma C. Yuan Xiaojuan Qi 24 0 0 21 Oct 2024
Taming the Long Tail in Human Mobility Prediction Xiaohang Xu Renhe Jiang Chuang Yang Z. Fan Kaoru Sezaki 30 1 0 19 Oct 2024
GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning Guibin Zhang Haonan Dong Yuchen Zhang Zhixun Li Dingshuo Chen Kai Wang Tianlong Chen Yuxuan Liang Dawei Cheng Kun Wang 32 2 0 17 Oct 2024
Long-Tailed Backdoor Attack Using Dynamic Data Augmentation Operations Lu Pang Tao Sun Weimin Lyu Haibin Ling C. L. P. Chen AAML 16 0 0 16 Oct 2024
ECGN: A Cluster-Aware Approach to Graph Neural Networks for Imbalanced Classification Bishal Thapaliya Anh Nguyen Yao Lu Tian Xie Igor Grudetskyi Fudong Lin Antonios Valkanas Jingyu Liu Deepayan Chakraborty Bilel Fehri 27 1 0 15 Oct 2024
Fractal Calibration for long-tailed object detection Konstantinos Panagiotis Alexandridis Ismail Elezi Jiankang Deng Anh H. Nguyen Shan Luo 64 0 0 15 Oct 2024
RICASSO: Reinforced Imbalance Learning with Class-Aware Self-Supervised Outliers Exposure X. Zhang Sin Chee Chin Tingxuan Gao Wenming Yang 26 0 0 14 Oct 2024
LaB-CL: Localized and Balanced Contrastive Learning for improving parking slot detection U Jin Jeong Sumin Roh Il Yong Chun 19 0 0 10 Oct 2024
Continuous Contrastive Learning for Long-Tailed Semi-Supervised Recognition Zi-Hao Zhou Siyuan Fang Zi-Jing Zhou Tong Wei Yuanyu Wan Min-Ling Zhang 21 1 0 08 Oct 2024
Compositional Risk Minimization Divyat Mahajan Mohammad Pezeshki Ioannis Mitliagkas Kartik Ahuja Pascal Vincent Pascal Vincent 26 3 0 08 Oct 2024
Adjusting Pretrained Backbones for Performativity Berker Demirel Lingjing Kong Kun Zhang Theofanis Karaletsos Celestine Mendler-Dünner Francesco Locatello KELM 19 0 0 06 Oct 2024