Decoupling Representation and Classifier for Long-Tailed Recognition

21 October 2019

Papers citing "Decoupling Representation and Classifier for Long-Tailed Recognition"

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Title
On Feature Learning in the Presence of Spurious Correlations Pavel Izmailov Polina Kirichenko Nate Gruver A. Wilson 34 117 0 20 Oct 2022
Towards Realistic Low-resource Relation Extraction: A Benchmark with Empirical Baseline Study Xin Xu Xiang Chen Ningyu Zhang Xin Xie Xi Chen Huajun Chen 26 10 0 19 Oct 2022
Temporal Action Segmentation: An Analysis of Modern Techniques Guodong Ding Fadime Sener Angela Yao 45 74 0 19 Oct 2022
Understanding CNN Fragility When Learning With Imbalanced Data Damien Dablain Kristen N. Jacobson C. Bellinger Mark Roberts Nitesh V. Chawla 29 39 0 17 Oct 2022
Boosting Offline Reinforcement Learning via Data Rebalancing Yang Yue Bingyi Kang Xiao Ma Zhongwen Xu Gao Huang Shuicheng Yan OffRL 18 22 0 17 Oct 2022
Improving the Intra-class Long-tail in 3D Detection via Rare Example Mining C. Jiang Mahyar Najibi C. Qi Yin Zhou Drago Anguelov 21 20 0 15 Oct 2022
Fairness via Adversarial Attribute Neighbourhood Robust Learning Q. Qi Shervin Ardeshir Yi Tian Xu Tianbao Yang 40 0 0 12 Oct 2022
Stochastic Constrained DRO with a Complexity Independent of Sample Size Q. Qi Jiameng Lyu Kung-Sik Chan E. Bai Tianbao Yang 50 15 0 11 Oct 2022
Improving Long-tailed Object Detection with Image-Level Supervision by Multi-Task Collaborative Learning Bo-wen Li Yongqiang Yao Jingru Tan Xin Lu F. Yu Ye Luo Jianwei Lu VLM 30 0 0 11 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 39 8 0 11 Oct 2022
Continual Learning by Modeling Intra-Class Variation L. Yu Tianyang Hu Lanqing Hong Zhen Liu Adrian Weller Weiyang Liu CLL 48 12 0 11 Oct 2022
ME-D2N: Multi-Expert Domain Decompositional Network for Cross-Domain Few-Shot Learning Yu Fu Yu Xie Yanwei Fu Jingjing Chen Yu-Gang Jiang 24 15 0 11 Oct 2022
Continual Learning with Evolving Class Ontologies Zhiqiu Lin Deepak Pathak Yu-xiong Wang Deva Ramanan Shu Kong CLL 36 9 0 10 Oct 2022
Deep object detection for waterbird monitoring using aerial imagery Krish Kabra Alexander Xiong Wenbin Li Minxuan Luo William Lu ... Tianjiao Yu Hank Arnold Anna C Vallery Richard E. Gibbons Arko Barman 21 6 0 10 Oct 2022
A Survey of Methods for Addressing Class Imbalance in Deep-Learning Based Natural Language Processing Sophie Henning William H. Beluch Alexander Fraser Annemarie Friedrich 14 20 0 10 Oct 2022
Adaptive Ranking-based Sample Selection for Weakly Supervised Class-imbalanced Text Classification Linxin Song Jieyu Zhang Tianxiang Yang M. Goto 20 3 0 06 Oct 2022
LPT: Long-tailed Prompt Tuning for Image Classification Bowen Dong Pan Zhou Shuicheng Yan W. Zuo VPVLM VLM 59 54 0 03 Oct 2022
Long-Tailed Class Incremental Learning Xialei Liu Yu-Song Hu Xuezhi Cao Andrew D. Bagdanov Ke Li Mingg-Ming Cheng CLL 65 35 0 01 Oct 2022
Diving into Unified Data-Model Sparsity for Class-Imbalanced Graph Representation Learning Chunhui Zhang Chao Huang Yijun Tian Qianlong Wen Z. Ouyang Youhuan Li Yanfang Ye Chuxu Zhang 19 6 0 01 Oct 2022
IMB-NAS: Neural Architecture Search for Imbalanced Datasets Rahul Duggal ShengYun Peng Hao Zhou Duen Horng Chau 8 2 0 30 Sep 2022
Optimizing Class Distribution in Memory for Multi-Label Online Continual Learning Yanyan Liang Wu-Jun Li CLL 16 8 0 23 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 51 38 0 21 Sep 2022
ImDrug: A Benchmark for Deep Imbalanced Learning in AI-aided Drug Discovery Lanqing Li Li Zeng Zi-Chao Gao Shen Yuan Yatao Bian ... Wei Liu Hongteng Xu Jia Li P. Zhao Pheng-Ann Heng VLM 26 4 0 16 Sep 2022
On the Soft-Subnetwork for Few-shot Class Incremental Learning Haeyong Kang Jaehong Yoon Sultan Rizky Hikmawan Madjid Sung Ju Hwang Chang D. Yoo CLL 47 41 0 15 Sep 2022
Data Augmentation by Selecting Mixed Classes Considering Distance Between Classes Shungo Fujii Yasunori Ishii Kazuki Kozuka Tsubasa Hirakawa Takayoshi Yamashita H. Fujiyoshi 44 2 0 12 Sep 2022
Inverse Image Frequency for Long-tailed Image Recognition Konstantinos Panagiotis Alexandridis Shang Luo Anh H. Nguyen Jiankang Deng S. Zafeiriou 43 9 0 11 Sep 2022
Difficulty-Net: Learning to Predict Difficulty for Long-Tailed Recognition Saptarshi Sinha Hiroki Ohashi 19 6 0 07 Sep 2022
Robust and Efficient Imbalanced Positive-Unlabeled Learning with Self-supervision Emilio Dorigatti J. Schweisthal Bernd Bischl Mina Rezaei OOD 21 2 0 06 Sep 2022
MIME: Minority Inclusion for Majority Group Enhancement of AI Performance Pradyumna Chari Yunhao Ba Shreeram S. Athreya A. Kadambi 24 3 0 01 Sep 2022
Combating Noisy Labels in Long-Tailed Image Classification Chaowei Fang Lechao Cheng Huiyan Qi Dingwen Zhang NoLa 17 2 0 01 Sep 2022
Federated Learning with Label Distribution Skew via Logits Calibration Jie M. Zhang Zhiqi Li Bo-wen Li Jianghe Xu Shuang Wu Shouhong Ding Chao Wu FedML 12 140 0 01 Sep 2022
ProCo: Prototype-aware Contrastive Learning for Long-tailed Medical Image Classification Zhixiong Yang Junwen Pan Yanzhan Yang Xiaozhou Shi Hong-Yu Zhou Zhicheng Zhang Cheng Bian VLM MedIm AI4TS 17 27 0 01 Sep 2022
Temporal Flow Mask Attention for Open-Set Long-Tailed Recognition of Wild Animals in Camera-Trap Images Jeongsoo Kim Sangmin Woo Byeongjun Park Changick Kim 25 2 0 31 Aug 2022
Long-Tailed Classification of Thorax Diseases on Chest X-Ray: A New Benchmark Study G. Holste Song Wang Ziyu Jiang Thomas C. Shen George Shih Ronald M. Summers Yifan Peng Zhangyang Wang LM&MA 41 37 0 29 Aug 2022
Towards Calibrated Hyper-Sphere Representation via Distribution Overlap Coefficient for Long-tailed Learning Hualiang Wang Siming Fu Xiaoxuan He Han Fang Zuozhu Liu Haoji Hu 32 17 0 22 Aug 2022
Improving GANs for Long-Tailed Data through Group Spectral Regularization Harsh Rangwani Naman Jaswani Tejan Karmali Varun Jampani R. Venkatesh Babu 21 21 0 21 Aug 2022
Label-Noise Learning with Intrinsically Long-Tailed Data Yang Lu Yiliang Zhang Bo Han Y. Cheung Hanzi Wang NoLa 48 17 0 21 Aug 2022
Open Long-Tailed Recognition in a Dynamic World Ziwei Liu Zhongqi Miao Xiaohang Zhan Jiayun Wang Boqing Gong Stella X. Yu VLM 43 18 0 17 Aug 2022
Maximising the Utility of Validation Sets for Imbalanced Noisy-label Meta-learning D. Hoang Cuong C. Nguyen Cuong Nguyen anh Belagiannis Vasileios G. Carneiro 22 2 0 17 Aug 2022
Teacher Guided Training: An Efficient Framework for Knowledge Transfer Manzil Zaheer A. S. Rawat Seungyeon Kim Chong You Himanshu Jain Andreas Veit Rob Fergus Surinder Kumar VLM 16 2 0 14 Aug 2022
Combating Label Distribution Shift for Active Domain Adaptation S. Hwang Sohyun Lee Sungyeon Kim Jungseul Ok Suha Kwak 27 18 0 13 Aug 2022
Imbalance Trouble: Revisiting Neural-Collapse Geometry Christos Thrampoulidis Ganesh Ramachandra Kini V. Vakilian Tina Behnia 24 68 0 10 Aug 2022
Sample hardness based gradient loss for long-tailed cervical cell detection Minmin Liu Xuechen Li Xiang Gao Junliang Chen Linlin Shen Huisi Wu MedIm 24 4 0 07 Aug 2022
Learning to Re-weight Examples with Optimal Transport for Imbalanced Classification D. Guo Zhuo Li Meixi Zheng He Zhao Mingyuan Zhou H. Zha 34 24 0 05 Aug 2022
Constructing Balance from Imbalance for Long-tailed Image Recognition Yue Xu Yong-Lu Li Jiefeng Li Cewu Lu CVBM 24 29 0 04 Aug 2022
Few-Shot Class-Incremental Learning from an Open-Set Perspective Can Peng Kun-li Zhao Tianren Wang Meng Li Brian C. Lovell CLL 17 88 0 30 Jul 2022
Class-Difficulty Based Methods for Long-Tailed Visual Recognition Saptarshi Sinha Hiroki Ohashi Katsuyuki Nakamura 18 30 0 29 Jul 2022
Imbalanced Semi-supervised Learning with Bias Adaptive Classifier Renzhen Wang Xixi Jia Quanziang Wang Yichen Wu Deyu Meng 25 16 0 28 Jul 2022
Iterative Scene Graph Generation Siddhesh Khandelwal Leonid Sigal OCL 19 29 0 27 Jul 2022
Identifying Hard Noise in Long-Tailed Sample Distribution Xuanyu Yi Kaihua Tang Xiansheng Hua J. Lim Hanwang Zhang 22 23 0 27 Jul 2022