Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification

6 January 2020

Jungong Han

Papers citing "Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification"

50 / 153 papers shown

Title
Learning and Transferring Physical Models through Derivatives Alessandro Trenta Andrea Cossu Davide Bacciu AI4CE 36 0 0 02 May 2025
Modality Reliability Guided Multimodal Recommendation Xue Dong Xuemeng Song Na Zheng Sicheng Zhao Guiguang Ding NoLa 43 0 0 23 Apr 2025
LIFT+: Lightweight Fine-Tuning for Long-Tail Learning Jiang-Xin Shi Tong Wei Yu-Feng Li 32 0 0 17 Apr 2025
SVLTA: Benchmarking Vision-Language Temporal Alignment via Synthetic Video Situation Hao Du Bo Wu Yan Lu Zhendong Mao 27 0 0 08 Apr 2025
Corrected with the Latest Version: Make Robust Asynchronous Federated Learning Possible Chaoyi Lu Yiding Sun Pengbo Li Zhichuan Yang FedML 34 0 0 05 Apr 2025
Crossmodal Knowledge Distillation with WordNet-Relaxed Text Embeddings for Robust Image Classification Chenqi Guo Mengshuo Rong Qianli Feng Rongfan Feng Yinglong Ma VLM 68 0 0 31 Mar 2025
Making Reliable and Flexible Decisions in Long-tailed Classification Bolian Li Ruqi Zhang 155 0 0 23 Jan 2025
Partial Knowledge Distillation for Alleviating the Inherent Inter-Class Discrepancy in Federated Learning Xiaoyu Gan Xizi Chen Jingyang Zhu Xiaomeng Wang Jingbo Jiang Chi-Ying Tsui FedML 95 0 0 23 Nov 2024
Towards Unbiased and Robust Spatio-Temporal Scene Graph Generation and Anticipation Rohith Peddi Saurabh Ayush Abhay Shrivastava Parag Singla Vibhav Gogate 82 0 0 20 Nov 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 33 2 0 28 Oct 2024
Granularity Matters in Long-Tail Learning Shizhen Zhao Xin Wen Jiaheng Liu Chuofan Ma C. Yuan Xiaojuan Qi 31 0 0 21 Oct 2024
Preview-based Category Contrastive Learning for Knowledge Distillation Muhe Ding Jianlong Wu Xue Dong Xiaojie Li Pengda Qin Tian Gan Liqiang Nie VLM 36 0 0 18 Oct 2024
RICASSO: Reinforced Imbalance Learning with Class-Aware Self-Supervised Outliers Exposure Xuzhi Zhang Sin Chee Chin Tingxuan Gao Wenming Yang 33 0 0 14 Oct 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 31 1 0 23 Sep 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 44 2 0 29 Aug 2024
Personalized Federated Learning on Heterogeneous and Long-Tailed Data via Expert Collaborative Learning Fengling Lv Xinyi Shang Yang Zhou Yiqun Zhang Mengke Li Yang Lu FedML 47 0 0 04 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 29 7 0 01 Aug 2024
LTRL: Boosting Long-tail Recognition via Reflective Learning QiHao Zhao Yalun Dai Shen Lin Wei Hu Fan Zhang Jun Liu 51 1 0 17 Jul 2024
Boosting Consistency in Dual Training for Long-Tailed Semi-Supervised Learning Kai Gan Tong Wei Min-Ling Zhang 40 1 0 19 Jun 2024
Why does Knowledge Distillation Work? Rethink its Attention and Fidelity Mechanism Chenqi Guo Shiwei Zhong Xiaofeng Liu Qianli Feng Yinglong Ma 24 1 0 30 Apr 2024
IMWA: Iterative Model Weight Averaging Benefits Class-Imbalanced Learning Tasks Zitong Huang Ze Chen Bowen Dong Chaoqi Liang Erjin Zhou Wangmeng Zuo MoMe CLL 46 3 0 25 Apr 2024
Class Similarity Transition: Decoupling Class Similarities and Imbalance from Generalized Few-shot Segmentation Shihong Wang Ruixun Liu Kaiyu Li Jiawei Jiang Xiangyong Cao 35 2 0 08 Apr 2024
Modeling State Shifting via Local-Global Distillation for Event-Frame Gaze Tracking Jiading Li Zhiyu Zhu Jinhui Hou Junhui Hou Jinjian Wu 39 1 0 31 Mar 2024
Long-Tailed Recognition on Binary Networks by Calibrating A Pre-trained Model Jihun Kim Dahyun Kim Hyungrok Jung Taeil Oh Jonghyun Choi MQ 47 0 0 30 Mar 2024
Scheduled Knowledge Acquisition on Lightweight Vector Symbolic Architectures for Brain-Computer Interfaces Yejia Liu Shijin Duan Xiaolin Xu Shaolei Ren 20 1 0 18 Mar 2024
CDMAD: Class-Distribution-Mismatch-Aware Debiasing for Class-Imbalanced Semi-Supervised Learning Hyuck Lee Heeyoung Kim 40 1 0 15 Mar 2024
Probabilistic Contrastive Learning for Long-Tailed Visual Recognition Chaoqun Du Yulin Wang Shiji Song Gao Huang 41 25 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
Delving into the Trajectory Long-tail Distribution for Muti-object Tracking Sijia Chen En Yu Jinyang Li Wenbing Tao DiffM 35 12 0 07 Mar 2024
Self-Guided Robust Graph Structure Refinement Yeonjun In Kanghoon Yoon Kibum Kim Kijung Shin Chanyoung Park AAML 21 7 0 19 Feb 2024
NutePrune: Efficient Progressive Pruning with Numerous Teachers for Large Language Models Shengrui Li Junzhe Chen Xueting Han Jing Bai 24 6 0 15 Feb 2024
TaE: Task-aware Expandable Representation for Long Tail Class Incremental Learning Linjie Li S. Liu Zhenyu Wu JI yang CLL 39 0 0 08 Feb 2024
Reviving Undersampling for Long-Tailed Learning Hao Yu Yingxiao Du Jianxin Wu 28 1 0 30 Jan 2024
Uncertainty-aware Sampling for Long-tailed Semi-supervised Learning Kuo Yang Duo Li Menghan Hu Guangtao Zhai Xiaokang Yang Xiao-Ping Zhang 32 0 0 09 Jan 2024
Federated Learning via Input-Output Collaborative Distillation Xuan Gong Shanglin Li Yuxiang Bao Barry Yao Yawen Huang Ziyan Wu Baochang Zhang Yefeng Zheng David Doermann FedML 23 6 0 22 Dec 2023
EAT: Towards Long-Tailed Out-of-Distribution Detection Tong Wei Bo-Lin Wang Min-Ling Zhang OODD 23 14 0 14 Dec 2023
COTR: Compact Occupancy TRansformer for Vision-based 3D Occupancy Prediction Qihang Ma Xin Tan Yanyun Qu Lizhuang Ma Zhizhong Zhang Yuan Xie 23 37 0 04 Dec 2023
Combining Past, Present and Future: A Self-Supervised Approach for Class Incremental Learning Xiaoshuang Chen Zhongyi Sun Ke Yan Shouhong Ding Hongtao Lu CLL 35 1 0 15 Nov 2023
Data-Centric Long-Tailed Image Recognition Yanbiao Ma Licheng Jiao Fang Liu Shuyuan Yang Xu Liu Puhua Chen 42 1 0 03 Nov 2023
Primacy Effect of ChatGPT Yiwei Wang Yujun Cai Muhao Chen Yuxuan Liang Bryan Hooi ALM AI4MH LRM 33 13 0 20 Oct 2023
A Unified Generalization Analysis of Re-Weighting and Logit-Adjustment for Imbalanced Learning Zitai Wang Qianqian Xu Zhiyong Yang Yuan He Xiaochun Cao Qingming Huang 28 24 0 07 Oct 2023
A dual-branch model with inter- and intra-branch contrastive loss for long-tailed recognition Qiong Chen Tianlin Huang Geren Zhu Enlu Lin MQ 18 11 0 28 Sep 2023
LCReg: Long-Tailed Image Classification with Latent Categories based Recognition Weide Liu Zhonghua Wu Yiming Wang Henghui Ding Fayao Liu Jie Lin Guosheng Lin 37 14 0 13 Sep 2023
Towards Long-Tailed Recognition for Graph Classification via Collaborative Experts Si-Yu Yi Zhengyan Mao Wei Ju Yong-Dao Zhou Luchen Liu Xiao Luo Ming Zhang 30 7 0 31 Aug 2023
Dual Compensation Residual Networks for Class Imbalanced Learning Rui Hou Hong Chang Bingpeng Ma Shiguang Shan Xilin Chen 30 5 0 25 Aug 2023
MDCS: More Diverse Experts with Consistency Self-distillation for Long-tailed Recognition QiHao Zhao Chen Jiang Wei Hu Fangying Zhang Jun Liu 35 11 0 19 Aug 2023
Unlimited Knowledge Distillation for Action Recognition in the Dark Ruibing Jin Guosheng Lin Min-man Wu Jie Lin Zhengguo Li Xiaoli Li Zhenghua Chen 10 1 0 18 Aug 2023
Label Shift Adapter for Test-Time Adaptation under Covariate and Label Shifts S. Park Seunghan Yang Jaegul Choo Sungrack Yun VLM TTA 30 18 0 17 Aug 2023
MEDOE: A Multi-Expert Decoder and Output Ensemble Framework for Long-tailed Semantic Segmentation Jun Shen Long Chen Kun Kuang Fei Wu Tian Feng Wei Zhang MoE 32 0 0 16 Aug 2023
RAHNet: Retrieval Augmented Hybrid Network for Long-tailed Graph Classification Zhengyan Mao Wei Ju Yifang Qin Xiao Luo Ming Zhang 27 16 0 04 Aug 2023