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Improving Generalization by Controlling Label-Noise Information in Neural Network Weights

19 February 2020

Papers citing "Improving Generalization by Controlling Label-Noise Information in Neural Network Weights"

36 / 36 papers shown

Title
Guiding Noisy Label Conditional Diffusion Models with Score-based Discriminator Correction Dat Nguyen Cong Hieu Tran Bao Hoang Thanh-Tung DiffM 8 0 0 27 Aug 2025
Optimization-Inspired Few-Shot Adaptation for Large Language Models Boyan Gao Xin Wang Jianlong Wu David A. Clifton 116 0 0 25 May 2025
Adaptive Estimation and Learning under Temporal Distribution Shift Dheeraj Baby Yifei Tang Hieu Duy Nguyen Yu Wang Rohit Pyati OOD AI4TS 98 0 0 21 May 2025
Granular-ball Representation Learning for Deep CNN on Learning with Label Noise Dawei Dai Hao Zhu Shuyin Xia Guoyin Wang SSL 89 1 0 05 Sep 2024
EMP: Enhance Memory in Data Pruning Jinying Xiao Ping Li Jie Nie Zhe Tang VLM 138 0 0 28 Aug 2024
Channel-Wise Contrastive Learning for Learning with Noisy Labels Hui-Sung Kang Sheng Liu Huaxi Huang Tongliang Liu NoLa 102 0 0 14 Aug 2023
Feature Noise Boosts DNN Generalization under Label Noise Lu Zeng Xuan Chen Xiaoshuang Shi Jikang Cheng MLT NoLa 91 3 0 03 Aug 2023
Unleashing the Potential of Regularization Strategies in Learning with Noisy Labels Hui-Sung Kang Sheng Liu Huaxi Huang Jun Yu Bo Han Dadong Wang Tongliang Liu NoLa 105 4 0 11 Jul 2023
Making Binary Classification from Multiple Unlabeled Datasets Almost Free of Supervision Yuhao Wu Xiaobo Xia Jun Yu Bo Han Gang Niu Masashi Sugiyama Tongliang Liu 124 2 0 12 Jun 2023
A Survey on the Robustness of Computer Vision Models against Common Corruptions Shunxin Wang Raymond N. J. Veldhuis Christoph Brune N. Strisciuglio OOD VLM 187 16 0 10 May 2023
Lower Generalization Bounds for GD and SGD in Smooth Stochastic Convex Optimization Peiyuan Zhang Jiaye Teng J.N. Zhang 117 6 0 19 Mar 2023
Leveraging Unlabeled Data to Track Memorization Mahsa Forouzesh Hanie Sedghi Patrick Thiran NoLa TDI 115 4 0 08 Dec 2022
PathProx: A Proximal Gradient Algorithm for Weight Decay Regularized Deep Neural Networks Liu Yang Jifan Zhang Joseph Shenouda Dimitris Papailiopoulos Kangwook Lee Robert D. Nowak 190 1 0 06 Oct 2022
Information-Theoretic Analysis of Unsupervised Domain Adaptation Ziqiao Wang Yongyi Mao 162 14 0 03 Oct 2022
Bounding generalization error with input compression: An empirical study with infinite-width networks A. Galloway A. Golubeva Mahmoud Salem Mihai Nica Yani Andrew Ioannou Graham W. Taylor MLT AI4CE 107 4 0 19 Jul 2022
Sparse Double Descent: Where Network Pruning Aggravates Overfitting Zhengqi He Zeke Xie Quanzhi Zhu Zengchang Qin 170 29 0 17 Jun 2022
AdaCap: Adaptive Capacity control for Feed-Forward Neural Networks Katia Méziani Karim Lounici Benjamin Riu 62 0 0 09 May 2022
Elucidating Meta-Structures of Noisy Labels in Semantic Segmentation by Deep Neural Networks Yaoru Luo Guo-Shuai Liu Yuanhao Guo Ge Yang NoLa 115 1 0 30 Apr 2022
CNLL: A Semi-supervised Approach For Continual Noisy Label Learning Nazmul Karim Umar Khalid Ashkan Esmaeili Nazanin Rahnavard NoLa CLL 82 18 0 21 Apr 2022
On Learning Contrastive Representations for Learning with Noisy Labels Linya Yi Sheng Liu Qi She A. McLeod Boyu Wang NoLa 133 46 0 03 Mar 2022
Generalizing similarity in noisy setups: the DIBS phenomenon Nayara Fonseca V. Guidetti 96 0 0 30 Jan 2022
Weight Expansion: A New Perspective on Dropout and Generalization Gao Jin Xinping Yi Pengfei Yang Lijun Zhang S. Schewe Xiaowei Huang 119 5 0 23 Jan 2022
Learning with Noisy Labels by Efficient Transition Matrix Estimation to Combat Label Miscorrection Seong Min Kye Kwanghee Choi Joonyoung Yi Buru Chang NoLa 134 21 0 29 Nov 2021
Learning to Rectify for Robust Learning with Noisy Labels Haoliang Sun Chenhui Guo Qinglai Wei Zhongyi Han Yilong Yin NoLa 196 36 0 08 Nov 2021
Continual Learning on Noisy Data Streams via Self-Purified Replay C. Kim Jinseo Jeong Sang-chul Moon Gunhee Kim CLL 154 45 0 14 Oct 2021
Improve Learning from Crowds via Generative Augmentation Zhendong Chu Hongning Wang 108 13 0 22 Jul 2021
How Does Heterogeneous Label Noise Impact Generalization in Neural Nets? Bidur Khanal Christopher Kanan NoLa 80 5 0 29 Jun 2021
Sample Selection with Uncertainty of Losses for Learning with Noisy Labels Xiaobo Xia Tongliang Liu Bo Han Biwei Huang Jun Yu Gang Niu Masashi Sugiyama NoLa 107 121 0 01 Jun 2021
Joint Negative and Positive Learning for Noisy Labels Youngdong Kim Juseung Yun Hyounguk Shon Junmo Kim NoLa 89 67 0 14 Apr 2021
Pervasive Label Errors in Test Sets Destabilize Machine Learning Benchmarks Curtis G. Northcutt Anish Athalye Jonas W. Mueller 211 564 0 26 Mar 2021
Deep Learning with Label Differential Privacy Badih Ghazi Noah Golowich Ravi Kumar Pasin Manurangsi Chiyuan Zhang 181 157 0 11 Feb 2021
Multi-Objective Interpolation Training for Robustness to Label Noise Diego Ortego Eric Arazo Paul Albert Noel E. O'Connor Kevin McGuinness NoLa 127 123 0 08 Dec 2020
A Survey on Deep Learning with Noisy Labels: How to train your model when you cannot trust on the annotations? F. Cordeiro G. Carneiro NoLa 168 51 0 05 Dec 2020
Artificial Neural Variability for Deep Learning: On Overfitting, Noise Memorization, and Catastrophic Forgetting Zeke Xie Fengxiang He Shaopeng Fu Issei Sato Dacheng Tao Masashi Sugiyama 77 63 0 12 Nov 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 145 167 0 09 Nov 2020
Learning from Noisy Labels with Deep Neural Networks: A Survey Hwanjun Song Minseok Kim Dongmin Park Yooju Shin Jae-Gil Lee NoLa 287 1,066 0 16 Jul 2020