Long-tail learning via logit adjustment

14 July 2020

Sanjiv Kumar

Papers citing "Long-tail learning via logit adjustment"

50 / 422 papers shown

Title
Taming the Tail: Leveraging Asymmetric Loss and Pade Approximation to Overcome Medical Image Long-Tailed Class Imbalance Pankhi Kashyap Pavni Tandon Sunny Gupta Abhishek Tiwari Ritwik Kulkarni Kshitij Sharad Jadhav 16 1 0 05 Oct 2024
Training Over a Distribution of Hyperparameters for Enhanced Performance and Adaptability on Imbalanced Classification Kelsey Lieberman Swarna Kamlam Ravindran Shuai Yuan Carlo Tomasi OOD 33 0 0 04 Oct 2024
Revisiting Hierarchical Text Classification: Inference and Metrics Roman Plaud Matthieu Labeau Antoine Saillenfest Thomas Bonald 27 1 0 02 Oct 2024
AUCSeg: AUC-oriented Pixel-level Long-tail Semantic Segmentation Boyu Han Qianqian Xu Zhiyong Yang Shilong Bao Peisong Wen Yangbangyan Jiang Qingming Huang 26 2 0 30 Sep 2024
Multiplicative Logit Adjustment Approximates Neural-Collapse-Aware Decision Boundary Adjustment Naoya Hasegawa Issei Sato 34 0 0 26 Sep 2024
VLMine: Long-Tail Data Mining with Vision Language Models Mao Ye Gregory P. Meyer Zaiwei Zhang Dennis Park Siva Karthik Mustikovela Yuning Chai Eric M. Wolff VLM 21 1 0 23 Sep 2024
FedLF: Adaptive Logit Adjustment and Feature Optimization in Federated Long-Tailed Learning Xiuhua Lu Peng Li Xuefeng Jiang FedML 23 3 0 18 Sep 2024
LPT++: Efficient Training on Mixture of Long-tailed Experts Bowen Dong Pan Zhou W. Zuo VLM 34 0 0 17 Sep 2024
When resampling/reweighting improves feature learning in imbalanced classification?: A toy-model study Tomoyuki Obuchi Toshiyuki Tanaka 36 0 0 09 Sep 2024
Ultra-imbalanced classification guided by statistical information Yin Jin Ningtao Wang Ruofan Wu Pengfei Shi Xing Fu Weiqiang Wang 25 0 0 06 Sep 2024
GAS: Generative Activation-Aided Asynchronous Split Federated Learning Jiarong Yang Yuan Liu 23 0 0 02 Sep 2024
Covariance-corrected Whitening Alleviates Network Degeneration on Imbalanced Classification Zhiwei Zhang 23 0 0 30 Aug 2024
VLM-KD: Knowledge Distillation from VLM for Long-Tail Visual Recognition Zaiwei Zhang Gregory P. Meyer Zhichao Lu Ashish Shrivastava Avinash Ravichandran Eric M. Wolff VLM 31 2 0 29 Aug 2024
Prior-free Balanced Replay: Uncertainty-guided Reservoir Sampling for Long-Tailed Continual Learning Lei Liu Li Liu Yawen Cui CLL 25 0 0 27 Aug 2024
Dual-CBA: Improving Online Continual Learning via Dual Continual Bias Adaptors from a Bi-level Optimization Perspective Quanziang Wang Renzhen Wang Yichen Wu Xixi Jia Minghao Zhou Deyu Meng 18 1 0 26 Aug 2024
Automatic Dataset Construction (ADC): Sample Collection, Data Curation, and Beyond Minghao Liu Zonglin Di Jiaheng Wei Zhongruo Wang Hengxiang Zhang ... Haobo Wang Lei Feng Jindong Wang James Davis Yang Liu 21 4 0 21 Aug 2024
Representation Norm Amplification for Out-of-Distribution Detection in Long-Tail Learning Dong Geun Shin Hye Won Chung OODD 22 0 0 20 Aug 2024
Long-Tail Temporal Action Segmentation with Group-wise Temporal Logit Adjustment Zhanzhong Pang Fadime Sener Shrinivas Ramasubramanian Angela Yao 25 2 0 19 Aug 2024
SER Evals: In-domain and Out-of-domain Benchmarking for Speech Emotion Recognition Mohamed Osman Daniel Z. Kaplan Tamer Nadeem 24 1 0 14 Aug 2024
Long-Tailed Out-of-Distribution Detection: Prioritizing Attention to Tail Yina He Lei Peng Yongcun Zhang Juanjuan Weng Zhiming Luo Shaozi Li OODD 25 0 0 13 Aug 2024
Tackling Noisy Clients in Federated Learning with End-to-end Label Correction Xuefeng Jiang Sheng Sun Jia Li Jingjing Xue Runhan Li Zhiyuan Wu Gang Xu Yuwei Wang Min Liu FedML 17 10 0 08 Aug 2024
Making Robust Generalizers Less Rigid with Soft Ascent-Descent Matthew J. Holland Toma Hamada OOD 28 0 0 07 Aug 2024
A Systematic Review on Long-Tailed Learning Chongsheng Zhang G. Almpanidis Gaojuan Fan Binquan Deng Yanbo Zhang Ji Liu Aouaidjia Kamel Paolo Soda Joao Gama 25 6 0 01 Aug 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 47 3 0 26 Jul 2024
Rethinking Out-of-Distribution Detection on Imbalanced Data Distribution Kai-Chun Liu Zhihang Fu Sheng Jin Chao Chen Ze Chen Rongxin Jiang Fan Zhou Yao-Shen Chen Jieping Ye OODD 40 0 0 23 Jul 2024
Deep Uncertainty-Based Explore for Index Construction and Retrieval in Recommendation System Xin Jiang Kaiqiang Wang Yinlong Wang Fengchang Lv Taiyang Peng Shuai Yang Xianteng Wu Pengye Zhang Shuo Yuan Yifan Zeng 21 0 0 22 Jul 2024
PASSION: Towards Effective Incomplete Multi-Modal Medical Image Segmentation with Imbalanced Missing Rates Junjie Shi Caozhi Shang Zhaobin Sun Li Yu Xin Yang Zengqiang Yan 22 3 0 20 Jul 2024
Addressing Imbalance for Class Incremental Learning in Medical Image Classification Xuze Hao Wenqian Ni Xuhao Jiang Weimin Tan Bo Yan CLL 22 0 0 18 Jul 2024
LTRL: Boosting Long-tail Recognition via Reflective Learning QiHao Zhao Yalun Dai Shen Lin Wei Hu Fan Zhang Jun Liu 43 1 0 17 Jul 2024
Adaptive Parametric Activation Konstantinos Panagiotis Alexandridis Jiankang Deng Anh Nguyen Shan Luo 28 2 0 11 Jul 2024
Knowledge Overshadowing Causes Amalgamated Hallucination in Large Language Models Yuji Zhang Sha Li Jiateng Liu Pengfei Yu Yi Ren Fung Jing Li Manling Li Heng Ji 29 10 0 10 Jul 2024
Learning Label Refinement and Threshold Adjustment for Imbalanced Semi-Supervised Learning Zeju Li Ying-Qiu Zheng Chen Chen Saâd Jbabdi 40 0 0 07 Jul 2024
Enhanced Long-Tailed Recognition with Contrastive CutMix Augmentation Haolin Pan Yong Guo Mianjie Yu Jian Chen 36 1 0 06 Jul 2024
FedMLP: Federated Multi-Label Medical Image Classification under Task Heterogeneity Zhaobin Sun Nannan Wu Junjie Shi Li Yu Xin Yang Kwang-Ting Cheng Zengqiang Yan 19 0 0 27 Jun 2024
Enhancing In-Context Learning via Implicit Demonstration Augmentation Xiaoling Zhou Wei Ye Yidong Wang Chaoya Jiang Zhemg Lee Rui Xie Shikun Zhang 20 3 0 27 Jun 2024
An Efficient NAS-based Approach for Handling Imbalanced Datasets Zhiwei Yao 31 0 0 22 Jun 2024
Boosting Consistency in Dual Training for Long-Tailed Semi-Supervised Learning Kai Gan Tong Wei Min-Ling Zhang 32 1 0 19 Jun 2024
OpenAnimalTracks: A Dataset for Animal Track Recognition Risa Shinoda Kaede Shiohara 21 4 0 14 Jun 2024
Conformal Prediction for Class-wise Coverage via Augmented Label Rank Calibration Yuanjie Shi Subhankar Ghosh Taha Belkhouja J. Doppa Yan Yan 32 0 0 10 Jun 2024
Diversified Batch Selection for Training Acceleration Feng Hong Yueming Lyu Jiangchao Yao Ya Zhang Ivor W. Tsang Yanfeng Wang 27 4 0 07 Jun 2024
LLMs Could Autonomously Learn Without External Supervision Ke Ji Junying Chen Anningzhe Gao Wenya Xie Xiang Wan Benyou Wang 29 4 0 02 Jun 2024
Rethinking Open-World Semi-Supervised Learning: Distribution Mismatch and Inductive Inference S. Park Hyuk Kwon Kwanghoon Sohn Kibok Lee OffRL 24 0 0 31 May 2024
WIDIn: Wording Image for Domain-Invariant Representation in Single-Source Domain Generalization Jiawei Ma Yulei Niu Shiyuan Huang G. Han Shih-Fu Chang VLM 27 1 0 28 May 2024
Rethinking Class-Incremental Learning from a Dynamic Imbalanced Learning Perspective Leyuan Wang Liuyu Xiang Yunlong Wang Huijia Wu Zhaofeng He CLL 19 0 0 24 May 2024
Towards Realistic Long-tailed Semi-supervised Learning in an Open World Yuanpeng He Lijian Li 21 0 0 23 May 2024
DLAFormer: An End-to-End Transformer For Document Layout Analysis Jiawei Wang Kai Hu Qiang Huo 3DV ViT 22 3 0 20 May 2024
Erasing the Bias: Fine-Tuning Foundation Models for Semi-Supervised Learning Kai Gan Tong Wei 36 10 0 20 May 2024
Simple-Sampling and Hard-Mixup with Prototypes to Rebalance Contrastive Learning for Text Classification Mengyu Li Yonghao Liu Fausto Giunchiglia Xiaoyue Feng Renchu Guan VLM 42 5 0 19 May 2024
Harnessing Hierarchical Label Distribution Variations in Test Agnostic Long-tail Recognition Zhiyong Yang Qianqian Xu Zitai Wang Sicong Li Boyu Han Shilong Bao Xiaochun Cao Qingming Huang 19 7 0 13 May 2024
Sharp analysis of out-of-distribution error for "importance-weighted" estimators in the overparameterized regime Kuo-Wei Lai Vidya Muthukumar 31 0 0 10 May 2024