Self-supervised Learning is More Robust to Dataset Imbalance

11 October 2021

Adrien Gaidon

Papers citing "Self-supervised Learning is More Robust to Dataset Imbalance"

50 / 104 papers shown

Title
LIFT+: Lightweight Fine-Tuning for Long-Tail Learning Jiang-Xin Shi Tong Wei Yu-Feng Li 20 0 0 17 Apr 2025
A Survey on Remote Sensing Foundation Models: From Vision to Multimodality Ziyue Huang Hongxi Yan Qiqi Zhan Shuai Yang Mingming Zhang Chenkai Zhang Yiming Lei Zeming Liu Qingjie Liu Y. Wang 42 0 0 28 Mar 2025
CS-PaperSum: A Large-Scale Dataset of AI-Generated Summaries for Scientific Papers Javin Liu Aryan Vats Zihao He 29 0 0 27 Feb 2025
A Self-Supervised Framework for Improved Generalisability in Ultrasound B-mode Image Segmentation Edward Ellis A. Bulpitt Nasim Parsa Michael F Byrne Sharib Ali 78 0 0 04 Feb 2025
Ño' Matters: Out-of-Distribution Detection in Multimodality Long Dialogue Rena Gao Xuetong Wu Siwen Luo Caren Han Feng Liu OODD 37 0 0 31 Oct 2024
Why pre-training is beneficial for downstream classification tasks? Xin Jiang Xu Cheng Zechao Li 22 0 0 11 Oct 2024
Label-free Monitoring of Self-Supervised Learning Progress Isaac Xu Scott Lowe Thomas Trappenberg 32 1 0 10 Sep 2024
Self-Supervised Learning for Text Recognition: A Critical Survey Carlos Peñarrubia J. J. Valero-Mas Jorge Calvo-Zaragoza 61 1 0 29 Jul 2024
Robust Adaptation of Foundation Models with Black-Box Visual Prompting Changdae Oh Gyeongdeok Seo Geunyoung Jung Zhi-Qi Cheng Hosik Choi Jiyoung Jung Kyungwoo Song VLM 20 1 0 04 Jul 2024
Scale-Translation Equivariant Network for Oceanic Internal Solitary Wave Localization Zhang Wan Shuo Wang Xudong Zhang 28 0 0 18 Jun 2024
Generalization Beyond Data Imbalance: A Controlled Study on CLIP for Transferable Insights Xin Wen Bingchen Zhao Yilun Chen Jiangmiao Pang Xiaojuan Qi 22 3 0 31 May 2024
Rethinking Open-World Semi-Supervised Learning: Distribution Mismatch and Inductive Inference S. Park Hyuk Kwon Kwanghoon Sohn Kibok Lee OffRL 16 0 0 31 May 2024
Views Can Be Deceiving: Improved SSL Through Feature Space Augmentation Kimia Hamidieh Haoran Zhang Swami Sankaranarayanan Marzyeh Ghassemi 27 0 0 28 May 2024
PhiNets: Brain-inspired Non-contrastive Learning Based on Temporal Prediction Hypothesis Satoki Ishikawa Makoto Yamada Han Bao Yuki Takezawa 50 0 0 23 May 2024
AD-Aligning: Emulating Human-like Generalization for Cognitive Domain Adaptation in Deep Learning Zhuoying Li Bohua Wan Cong Mu Ruzhang Zhao Shushan Qiu Chao Yan 16 14 0 15 May 2024
SP $^2$ OT: Semantic-Regularized Progressive Partial Optimal Transport for Imbalanced Clustering Chuyu Zhang Hui Ren Xuming He OT 27 0 0 04 Apr 2024
Boarding for ISS: Imbalanced Self-Supervised: Discovery of a Scaled Autoencoder for Mixed Tabular Datasets Samuel Stocksieker Denys Pommeret Arthur Charpentier SSL 24 1 0 23 Mar 2024
Accurately Predicting Probabilities of Safety-Critical Rare Events for Intelligent Systems Ruoxuan Bai Jingxuan Yang Weiduo Gong Yi Zhang Qiujing Lu Shuo Feng 28 0 0 20 Mar 2024
Investigating the Benefits of Projection Head for Representation Learning Yihao Xue Eric Gan Jiayi Ni Siddharth Joshi Baharan Mirzasoleiman 18 10 0 18 Mar 2024
Intra-video Positive Pairs in Self-Supervised Learning for Ultrasound Blake Vanberlo Alexander Wong Jesse Hoey R. Arntfield 27 2 0 12 Mar 2024
Bridging Domains with Approximately Shared Features Ziliang Samuel Zhong Xiang Pan Qi Lei OOD 16 1 0 11 Mar 2024
Performance Evaluation of Semi-supervised Learning Frameworks for Multi-Class Weed Detection Jiajia Li Dong Chen Xunyuan Yin Zhao Li 20 9 0 06 Mar 2024
Addressing Long-Tail Noisy Label Learning Problems: a Two-Stage Solution with Label Refurbishment Considering Label Rarity Ying-Hsuan Wu Jun-Wei Hsieh Li Xin Shin-You Teng Yi-Kuan Hsieh Ming-Ching Chang NoLa 29 0 0 04 Mar 2024
Rethinking Classifier Re-Training in Long-Tailed Recognition: A Simple Logits Retargeting Approach Han Lu Siyu Sun Yichen Xie Liqing Zhang Xiaokang Yang Junchi Yan 16 1 0 01 Mar 2024
DUEL: Duplicate Elimination on Active Memory for Self-Supervised Class-Imbalanced Learning Won-Seok Choi Hyun-Dong Lee Dong-Sig Han Junseok Park Heeyeon Koo Byoung-Tak Zhang 17 1 0 14 Feb 2024
COMPRER: A Multimodal Multi-Objective Pretraining Framework for Enhanced Medical Image Representation Guy Lutsker H. Rossman Nastya Godiva E. Segal MedIm 15 1 0 04 Feb 2024
P $^2$ OT: Progressive Partial Optimal Transport for Deep Imbalanced Clustering Chuyu Zhang Hui Ren Xuming He 20 6 0 17 Jan 2024
Understanding Representation Learnability of Nonlinear Self-Supervised Learning Ruofeng Yang Xiangyuan Li Bo Jiang Shuai Li SSL MLT 37 0 0 06 Jan 2024
Self-supervised Pretraining for Robust Personalized Voice Activity Detection in Adverse Conditions H. S. Bovbjerg Jesper Jensen Jan Østergaard Zheng-Hua Tan VLM 14 3 0 27 Dec 2023
Fed-QSSL: A Framework for Personalized Federated Learning under Bitwidth and Data Heterogeneity Yiyue Chen H. Vikalo C. Wang FedML 26 5 0 20 Dec 2023
Simplifying Neural Network Training Under Class Imbalance Ravid Shwartz-Ziv Micah Goldblum Yucen Lily Li C. B. Bruss Andrew Gordon Wilson 13 14 0 05 Dec 2023
Robust Feature Learning and Global Variance-Driven Classifier Alignment for Long-Tail Class Incremental Learning Jaya Kalla Soma Biswas CLL 12 5 0 02 Nov 2023
Group Robust Classification Without Any Group Information Christos Tsirigotis João Monteiro Pau Rodríguez David Vazquez Aaron Courville OOD 11 22 0 28 Oct 2023
How Re-sampling Helps for Long-Tail Learning? Jiang-Xin Shi Tong Wei Yuke Xiang Yu-Feng Li 9 20 0 27 Oct 2023
Combating Representation Learning Disparity with Geometric Harmonization Zhihan Zhou Jiangchao Yao Feng Hong Ya-Qin Zhang Bo Han Yanfeng Wang 13 5 0 26 Oct 2023
Data Optimization in Deep Learning: A Survey Ou Wu Rujing Yao 22 1 0 25 Oct 2023
Understanding Contrastive Learning via Distributionally Robust Optimization Junkang Wu Jiawei Chen Jiancan Wu Wentao Shi Xiang Wang Xiangnan He 24 23 0 17 Oct 2023
MERTech: Instrument Playing Technique Detection Using Self-Supervised Pretrained Model With Multi-Task Finetuning Dichucheng Li Yi Ma Weixing Wei Qiuqiang Kong Yulun Wu Mingjin Che Fan Xia Emmanouil Benetos Wei Li 16 1 0 15 Oct 2023
An Investigation of Representation and Allocation Harms in Contrastive Learning Subha Maity Mayank Agarwal Mikhail Yurochkin Yuekai Sun 22 0 0 02 Oct 2023
Towards Distribution-Agnostic Generalized Category Discovery Jianhong Bai Zuo-Qiang Liu Hualiang Wang Ruizhe Chen Lianrui Mu Xiaomeng Li Joey Tianyi Zhou Yang Feng Jian Wu Haoji Hu 24 9 0 02 Oct 2023
Can Pre-trained Networks Detect Familiar Out-of-Distribution Data? Atsuyuki Miyai Qing Yu Go Irie Kiyoharu Aizawa OODD 129 6 0 02 Oct 2023
Understanding and Mitigating the Label Noise in Pre-training on Downstream Tasks Hao Chen Jindong Wang Ankit Shah Ran Tao Hongxin Wei Berfin cSimcsek Masashi Sugiyama Bhiksha Raj 8 26 0 29 Sep 2023
Examining the Effect of Pre-training on Time Series Classification Jiashu Pu Shiwei Zhao Ling Cheng Yongzhu Chang Runze Wu Tangjie Lv Rongsheng Zhang AI4TS 18 0 0 11 Sep 2023
Frequency-Aware Self-Supervised Long-Tailed Learning Ci-Siang Lin Min-Hung Chen Y. Wang 13 2 0 09 Sep 2023
Unsupervised Camouflaged Object Segmentation as Domain Adaptation Yi Zhang Chengyi Wu 16 3 0 08 Aug 2023
Novel Class Discovery for Long-tailed Recognition Zhang Chuyu Rui Xu Xuming He 16 15 0 06 Aug 2023
Lookbehind-SAM: k steps back, 1 step forward Gonçalo Mordido Pranshu Malviya A. Baratin Sarath Chandar AAML 29 1 0 31 Jul 2023
Contrastive Self-Supervised Learning Based Approach for Patient Similarity: A Case Study on Atrial Fibrillation Detection from PPG Signal Subangkar Karmaker Shanto Shoumik Saha A. Rahman M. Masud Mohammed Eunus Ali 11 1 0 22 Jul 2023
On the Effectiveness of Out-of-Distribution Data in Self-Supervised Long-Tail Learning Jianhong Bai Zuozhu Liu Hualiang Wang Jinxiang Hao Yang Feng Huanpeng Chu Haoji Hu OODD 21 16 0 08 Jun 2023
Understanding Augmentation-based Self-Supervised Representation Learning via RKHS Approximation and Regression Runtian Zhai Bing Liu Andrej Risteski Zico Kolter Pradeep Ravikumar SSL 20 9 0 01 Jun 2023