Invariant Feature Learning for Generalized Long-Tailed Classification

19 July 2022

Hanwang Zhang

Papers citing "Invariant Feature Learning for Generalized Long-Tailed Classification"

34 / 34 papers shown

Title
A Survey on Small Sample Imbalance Problem: Metrics, Feature Analysis, and Solutions Shuxian Zhao Jie Gui Minjing Dong Baosheng Yu Zhipeng Gui Lu Dong Yuan Yan Tang James T. Kwok 31 0 0 21 Apr 2025
Long-Tailed Out-of-Distribution Detection via Normalized Outlier Distribution Adaptation Wenjun Miao Guansong Pang Jin Zheng Xiao Bai OODD 40 1 0 28 Oct 2024
Fractal Calibration for long-tailed object detection Konstantinos Panagiotis Alexandridis Ismail Elezi Jiankang Deng Anh H. Nguyen Shan Luo 114 0 0 15 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 35 0 0 04 Oct 2024
Learning Unlabeled Clients Divergence via Anchor Model Aggregation for Federated Semi-supervised Learning Marawan Elbatel Hualiang Wang Jixiang Chen Hao Wang Xiaomeng Li FedML 55 0 0 14 Jul 2024
Transfer-LMR: Heavy-Tail Driving Behavior Recognition in Diverse Traffic Scenarios Chirag Parikh Ravi Shankar Mishra Rohan Chandra Ravi Kiran Sarvadevabhatla 32 1 0 08 May 2024
Boosting Model Resilience via Implicit Adversarial Data Augmentation Xiaoling Zhou Wei Ye Zhemg Lee Rui Xie Shi-Bo Zhang 26 1 0 25 Apr 2024
Advancing Generalizable Remote Physiological Measurement through the Integration of Explicit and Implicit Prior Knowledge Yuting Zhang Haobo Lu Xin Liu Ying Chen Kaishun Wu 32 4 0 11 Mar 2024
LTGC: Long-tail Recognition via Leveraging LLMs-driven Generated Content QiHao Zhao Yalun Dai Hao Li Wei Hu Fan Zhang Jun Liu 34 15 0 09 Mar 2024
Optimizing for ROC Curves on Class-Imbalanced Data by Training over a Family of Loss Functions Kelsey Lieberman Shuai Yuan Swarna Kamlam Ravindran Carlo Tomasi 23 0 0 08 Feb 2024
Out-of-Distribution Detection in Long-Tailed Recognition with Calibrated Outlier Class Learning Wenjun Miao Guansong Pang Tianqi Li Xiaolong Bai Jingyi Zheng OODD 30 14 0 17 Dec 2023
Data Optimization in Deep Learning: A Survey Ou Wu Rujing Yao 32 1 0 25 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 22 0 0 12 Oct 2023
Invariant Training 2D-3D Joint Hard Samples for Few-Shot Point Cloud Recognition Xuanyu Yi Jiajun Deng Qianru Sun Xiansheng Hua J. Lim Hanwang Zhang 3DPC 13 14 0 18 Aug 2023
Federated Model Aggregation via Self-Supervised Priors for Highly Imbalanced Medical Image Classification Marawan Elbatel Hualiang Wang Robert Martí H. Fu X. Li FedML 32 8 0 27 Jul 2023
FoPro-KD: Fourier Prompted Effective Knowledge Distillation for Long-Tailed Medical Image Recognition Marawan Elbatel Robert Martí X. Li AAML 34 10 0 27 May 2023
Rethinking Class Imbalance in Machine Learning Ou Wu 24 10 0 06 May 2023
Implicit Counterfactual Data Augmentation for Deep Neural Networks Xiaoling Zhou Ou Wu OOD BDL CML 22 4 0 26 Apr 2023
OOD-CV-v2: An extended Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images Bingchen Zhao Jiahao Wang Wufei Ma Artur Jesslen Si-Jia Yang Shaozuo Yu O. Zendel Christian Theobalt Alan Yuille Adam Kortylewski 29 8 0 17 Apr 2023
Benchmarking Robustness to Text-Guided Corruptions Mohammadreza Mofayezi Yasamin Medghalchi DiffM VLM 12 3 0 06 Apr 2023
Use Your Head: Improving Long-Tail Video Recognition Toby Perrett Saptarshi Sinha T. Burghardt Majid Mirmehdi Dima Damen 30 15 0 03 Apr 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 25 4 0 03 Feb 2023
Instrumental Variables in Causal Inference and Machine Learning: A Survey Anpeng Wu Kun Kuang Ruoxuan Xiong Fei Wu SyDa CML 25 6 0 12 Dec 2022
Leveraging Angular Information Between Feature and Classifier for Long-tailed Learning: A Prediction Reformulation Approach Haoxu Wang Junchi Yan 19 1 0 03 Dec 2022
Inverse Image Frequency for Long-tailed Image Recognition Konstantinos Panagiotis Alexandridis Shang Luo Anh H. Nguyen Jiankang Deng S. Zafeiriou 40 9 0 11 Sep 2022
FedIIC: Towards Robust Federated Learning for Class-Imbalanced Medical Image Classification Nannan Wu Li Yu Xin Yang Kwang-Ting Cheng Zengqiang Yan FedML 32 19 0 28 Jun 2022
OOD-CV: A Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images Bingchen Zhao Shaozuo Yu Wufei Ma M. Yu Shenxiao Mei Angtian Wang Ju He Alan Yuille Adam Kortylewski 26 53 0 29 Nov 2021
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 305 7,434 0 11 Nov 2021
Balanced Meta-Softmax for Long-Tailed Visual Recognition Jiawei Ren Cunjun Yu Shunan Sheng Xiao Ma Haiyu Zhao Shuai Yi Hongsheng Li 170 549 0 21 Jul 2020
Equalization Loss for Long-Tailed Object Recognition Jingru Tan Changbao Wang Buyu Li Quanquan Li Wanli Ouyang Changqing Yin Junjie Yan 241 457 0 11 Mar 2020
Out-of-Distribution Generalization via Risk Extrapolation (REx) David M. Krueger Ethan Caballero J. Jacobsen Amy Zhang Jonathan Binas Dinghuai Zhang Rémi Le Priol Aaron Courville OOD 215 901 0 02 Mar 2020
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition Boyan Zhou Quan Cui Xiu-Shen Wei Zhao-Min Chen 247 782 0 05 Dec 2019
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 297 10,216 0 16 Nov 2016
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 296 39,194 0 01 Sep 2014