Active Bias: Training More Accurate Neural Networks by Emphasizing High Variance Samples

24 April 2017

Papers citing "Active Bias: Training More Accurate Neural Networks by Emphasizing High Variance Samples"

50 / 81 papers shown

Title
Imbalanced Medical Image Segmentation with Pixel-dependent Noisy Labels Erjian Guo Zicheng Wang Zhen Zhao Luping Zhou NoLa 71 0 0 12 Jan 2025
RC-Mixup: A Data Augmentation Strategy against Noisy Data for Regression Tasks Seonghyeon Hwang Minsu Kim Steven Euijong Whang NoLa 48 2 0 28 May 2024
Rho-1: Not All Tokens Are What You Need Zheng-Wen Lin Zhibin Gou Yeyun Gong Xiao Liu Yelong Shen ... Chen Lin Yujiu Yang Jian Jiao Nan Duan Weizhu Chen CLL 50 58 0 11 Apr 2024
Learning with Noisy Labels: Interconnection of Two Expectation-Maximizations Heewon Kim Hyun Sung Chang Kiho Cho Jaeyun Lee Bohyung Han NoLa 28 2 0 09 Jan 2024
Bad Students Make Great Teachers: Active Learning Accelerates Large-Scale Visual Understanding Talfan Evans Shreya Pathak Hamza Merzic Jonathan Schwarz Ryutaro Tanno Olivier J. Hénaff 31 16 0 08 Dec 2023
Choosing Wisely and Learning Deeply: Selective Cross-Modality Distillation via CLIP for Domain Generalization Jixuan Leng Yijiang Li Haohan Wang VLM 37 0 0 26 Nov 2023
FTFT: Efficient and Robust Fine-Tuning by Transferring Training Dynamics Yupei Du Albert Gatt Dong Nguyen 36 1 0 10 Oct 2023
Hundreds Guide Millions: Adaptive Offline Reinforcement Learning with Expert Guidance Qisen Yang Shenzhi Wang Qihang Zhang Gao Huang Shiji Song OffRL OnRL 32 8 0 04 Sep 2023
Divert More Attention to Vision-Language Object Tracking Mingzhe Guo Zhipeng Zhang Li Jing Haibin Ling Heng Fan VLM 47 3 0 19 Jul 2023
GaitMPL: Gait Recognition with Memory-Augmented Progressive Learning Huanzhang Dou Pengyi Zhang Yuhan Zhao Lin Dong Zequn Qin Xi Li CVBM VLM 46 24 0 06 Jun 2023
Mitigating Label Noise through Data Ambiguation Julian Lienen Eyke Hüllermeier NoLa 32 7 0 23 May 2023
UATTA-EB: Uncertainty-Aware Test-Time Augmented Ensemble of BERTs for Classifying Common Mental Illnesses on Social Media Posts Pratinav Seth Mihir Agarwal AI4MH 23 1 0 10 Apr 2023
Balanced Audiovisual Dataset for Imbalance Analysis Wenke Xia Xu Zhao Xincheng Pang Changqing Zhang Di Hu 41 1 0 14 Feb 2023
Improve Noise Tolerance of Robust Loss via Noise-Awareness Kehui Ding Jun Shu Deyu Meng Zongben Xu NoLa 38 5 0 18 Jan 2023
Understanding Difficulty-based Sample Weighting with a Universal Difficulty Measure Xiaoling Zhou Ou Wu Weiyao Zhu Ziyang Liang 44 2 0 12 Jan 2023
Easy Begun is Half Done: Spatial-Temporal Graph Modeling with ST-Curriculum Dropout Hongjun Wang Jiyuan Chen Tongbo Pan Z. Fan Boyuan Zhang Renhe Jiang Lingyu Zhang Yi Xie Zhongyin Wang Xuan Song GNN 34 8 0 28 Nov 2022
Instance-specific and Model-adaptive Supervision for Semi-supervised Semantic Segmentation Zhen Zhao Sifan Long Jimin Pi Jingdong Wang Luping Zhou 34 29 0 21 Nov 2022
Peeling the Onion: Hierarchical Reduction of Data Redundancy for Efficient Vision Transformer Training Zhenglun Kong Haoyu Ma Geng Yuan Mengshu Sun Yanyue Xie ... Tianlong Chen Xiaolong Ma Xiaohui Xie Zhangyang Wang Yanzhi Wang ViT 39 22 0 19 Nov 2022
Informative Sample-Aware Proxy for Deep Metric Learning Aoyu Li Ikuro Sato Kohta Ishikawa Rei Kawakami Rio Yokota 24 1 0 18 Nov 2022
Easy to Decide, Hard to Agree: Reducing Disagreements Between Saliency Methods Josip Jukić Martin Tutek Jan Snajder FAtt 36 0 0 15 Nov 2022
TiDAL: Learning Training Dynamics for Active Learning Seong Min Kye Kwanghee Choi Hyeongmin Byun Buru Chang 36 13 0 13 Oct 2022
Learning from Noisy Labels with Coarse-to-Fine Sample Credibility Modeling Boshen Zhang Yuxi Li Yuanpeng Tu Jinlong Peng Yabiao Wang Cunlin Wu Yanghua Xiao Cairong Zhao NoLa 38 6 0 23 Aug 2022
Efficient Augmentation for Imbalanced Deep Learning Damien Dablain C. Bellinger Bartosz Krawczyk Nitesh Chawla 34 7 0 13 Jul 2022
Divert More Attention to Vision-Language Tracking Mingzhe Guo Zhipeng Zhang Heng Fan Li Jing 34 53 0 03 Jul 2022
ProSelfLC: Progressive Self Label Correction Towards A Low-Temperature Entropy State Xinshao Wang Yang Hua Elyor Kodirov S. Mukherjee David Clifton N. Robertson 35 6 0 30 Jun 2022
Boosting Facial Expression Recognition by A Semi-Supervised Progressive Teacher Jing Jiang Weihong Deng 38 23 0 28 May 2022
Selective Classification Via Neural Network Training Dynamics Stephan Rabanser Anvith Thudi Kimia Hamidieh Adam Dziedzic Nicolas Papernot 31 21 0 26 May 2022
The Two Dimensions of Worst-case Training and the Integrated Effect for Out-of-domain Generalization Zeyi Huang Haohan Wang Dong Huang Yong Jae Lee Eric P. Xing 21 22 0 09 Apr 2022
Part-based Pseudo Label Refinement for Unsupervised Person Re-identification Y. Cho Woo Jae Kim Seunghoon Hong Sung-eui Yoon 36 166 0 28 Mar 2022
UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learning Nazmul Karim Mamshad Nayeem Rizve Nazanin Rahnavard Ajmal Mian M. Shah NoLa 42 98 0 28 Mar 2022
Robust Training under Label Noise by Over-parameterization Sheng Liu Zhihui Zhu Qing Qu Chong You NoLa OOD 34 106 0 28 Feb 2022
LST: Lexicon-Guided Self-Training for Few-Shot Text Classification Hazel Kim Jaeman Son Yo-Sub Han 26 3 0 05 Feb 2022
Data Collection and Quality Challenges in Deep Learning: A Data-Centric AI Perspective Steven Euijong Whang Yuji Roh Hwanjun Song Jae-Gil Lee 29 326 0 13 Dec 2021
Sample Selection for Fair and Robust Training Yuji Roh Kangwook Lee Steven Euijong Whang Changho Suh 21 61 0 27 Oct 2021
Meta-learning with an Adaptive Task Scheduler Huaxiu Yao Yu Wang Ying Wei P. Zhao M. Mahdavi Defu Lian Chelsea Finn OOD 35 47 0 26 Oct 2021
BulletTrain: Accelerating Robust Neural Network Training via Boundary Example Mining Weizhe Hua Yichi Zhang Chuan Guo Zhiru Zhang G. E. Suh OOD 44 15 0 29 Sep 2021
Learning with Noisy Labels for Robust Point Cloud Segmentation Shuquan Ye Dongdong Chen Songfang Han Jing Liao 3DPC 31 51 0 29 Jul 2021
Mitigating Memorization in Sample Selection for Learning with Noisy Labels Kyeongbo Kong Junggi Lee Youngchul Kwak Young-Rae Cho Seong-Eun Kim Woo‐Jin Song NoLa 18 0 0 08 Jul 2021
Accelerating Neural Architecture Search via Proxy Data Byunggook Na J. Mok Hyeokjun Choe Sungroh Yoon 16 18 0 09 Jun 2021
Do We Really Need Gold Samples for Sample Weighting Under Label Noise? Aritra Ghosh Andrew Lan NoLa 31 9 0 19 Apr 2021
Learning from Noisy Labels for Entity-Centric Information Extraction Wenxuan Zhou Muhao Chen NoLa 20 65 0 17 Apr 2021
Procrustean Training for Imbalanced Deep Learning Han-Jia Ye De-Chuan Zhan Wei-Lun Chao 29 31 0 05 Apr 2021
Robust Audio-Visual Instance Discrimination Pedro Morgado Ishan Misra Nuno Vasconcelos SSL 22 110 0 29 Mar 2021
Jo-SRC: A Contrastive Approach for Combating Noisy Labels Yazhou Yao Zeren Sun Chuanyi Zhang Fumin Shen Qi Wu Jian Zhang Zhenmin Tang NoLa 33 133 0 24 Mar 2021
Multiplicative Reweighting for Robust Neural Network Optimization Noga Bar Tomer Koren Raja Giryes OOD NoLa 20 9 0 24 Feb 2021
Self-Diagnosing GAN: Diagnosing Underrepresented Samples in Generative Adversarial Networks J. Lee Haeri Kim Youngkyu Hong Hye Won Chung 25 21 0 24 Feb 2021
A Topological Filter for Learning with Label Noise Pengxiang Wu Songzhu Zheng Mayank Goswami Dimitris N. Metaxas Chao Chen NoLa 30 112 0 09 Dec 2020
A Survey of Label-noise Representation Learning: Past, Present and Future Bo Han Quanming Yao Tongliang Liu Gang Niu Ivor W. Tsang James T. Kwok Masashi Sugiyama NoLa 24 159 0 09 Nov 2020
A Survey on Curriculum Learning Xin Eric Wang Yudong Chen Wenwu Zhu SyDa 32 22 0 25 Oct 2020
Why resampling outperforms reweighting for correcting sampling bias with stochastic gradients Jing An Lexing Ying Yuhua Zhu 54 38 0 28 Sep 2020