Learning to Reweight Examples for Robust Deep Learning

24 March 2018

Papers citing "Learning to Reweight Examples for Robust Deep Learning"

50 / 772 papers shown

Title
Quantifying and mitigating the impact of label errors on model disparity metrics Julius Adebayo Melissa Hall Bowen Yu Bobbie Chern 24 10 0 04 Oct 2023
Learning with Noisy Labels for Human Fall Events Classification: Joint Cooperative Training with Trinity Networks Leiyu Xie Yang Sun S. M. Naqvi NoLa 30 0 0 27 Sep 2023
Introspective Deep Metric Learning Cheng-Hao Wang Wenzhao Zheng Zheng Hua Zhu Jie Zhou Jiwen Lu UQCV 30 12 0 11 Sep 2023
When to Learn What: Model-Adaptive Data Augmentation Curriculum Chengkai Hou Jieyu Zhang Dinesh Manocha 27 15 0 09 Sep 2023
Expert Uncertainty and Severity Aware Chest X-Ray Classification by Multi-Relationship Graph Learning Mengliang Zhang Xinyue Hu Lin Gu Liangchen Liu Kazuma Kobayashi Tatsuya Harada Ronald M. Summers Yingying Zhu 23 3 0 06 Sep 2023
Hundreds Guide Millions: Adaptive Offline Reinforcement Learning with Expert Guidance Qisen Yang Shenzhi Wang Qihang Zhang Gao Huang Shiji Song OffRL OnRL 24 8 0 04 Sep 2023
Regularly Truncated M-estimators for Learning with Noisy Labels Xiaobo Xia Pengqian Lu Chen Gong Bo Han Jun-chen Yu Jun Yu Tongliang Liu NoLa 26 9 0 02 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
Biquality Learning: a Framework to Design Algorithms Dealing with Closed-Set Distribution Shifts Pierre Nodet V. Lemaire A. Bondu Antoine Cornuéjols OOD 26 0 0 29 Aug 2023
Practical Edge Detection via Robust Collaborative Learning Yuanbin Fu Xiaojie Guo 30 9 0 27 Aug 2023
Label Denoising through Cross-Model Agreement Yu-Xiang Wang Xin Xin Zaiqiao Meng J. Jose Fuli Feng NoLa 34 1 0 27 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
SILT: Shadow-aware Iterative Label Tuning for Learning to Detect Shadows from Noisy Labels Han Yang Tianyu Wang Xiao Hu Chi-Wing Fu NoLa 51 13 0 23 Aug 2023
centroIDA: Cross-Domain Class Discrepancy Minimization Based on Accumulative Class-Centroids for Imbalanced Domain Adaptation Xiaona Sun Zhenyu Wu Yichen Liu Saier Hu Zhiqiang Zhan Yang Ji 26 1 0 21 Aug 2023
Deep Boosting Multi-Modal Ensemble Face Recognition with Sample-Level Weighting Sahar Rahimi Malakshan Mohammad Saeed Ebrahimi Saadabadi Nima Najafzadeh Nasser M. Nasrabadi CVBM 18 1 0 18 Aug 2023
Semantic-aware Network for Aerial-to-Ground Image Synthesis J. Jang Taeyong Song Kwanghoon Sohn GAN 21 2 0 14 Aug 2023
CBA: Improving Online Continual Learning via Continual Bias Adaptor Quanziang Wang Renzhen Wang Yichen Wu Xixi Jia Deyu Meng CLL 27 17 0 14 Aug 2023
DaMSTF: Domain Adversarial Learning Enhanced Meta Self-Training for Domain Adaptation Menglong Lu Zhen Huang Yunxiang Zhao Zhiliang Tian Yang Liu Dongsheng Li 29 6 0 05 Aug 2023
Meta-Tsallis-Entropy Minimization: A New Self-Training Approach for Domain Adaptation on Text Classification Menglong Lu Zhen Huang Zhiliang Tian Yunxiang Zhao Xuanyu Fei Dongsheng Li OOD 31 5 0 04 Aug 2023
Feature Noise Boosts DNN Generalization under Label Noise Lu Zeng Xuan Chen Xiaoshuang Shi H. Shen MLT NoLa 22 2 0 03 Aug 2023
Doubly Robust Instance-Reweighted Adversarial Training Daouda Sow Sen-Fon Lin Zhangyang Wang Yitao Liang AAML OOD 33 2 0 01 Aug 2023
TextManiA: Enriching Visual Feature by Text-driven Manifold Augmentation Moon Ye-Bin Jisoo Kim Hong-Kyu Kim Kilho Son Tae-Hyun Oh 29 9 0 27 Jul 2023
Label Noise: Correcting a Correction William Toner Amos Storkey NoLa 17 0 0 24 Jul 2023
Why Is Prompt Tuning for Vision-Language Models Robust to Noisy Labels? Cheng-En Wu Yu Tian Haichao Yu Heng Wang Pedro Morgado Yu Hen Hu Linjie Yang NoLa VPVLM VLM 37 18 0 22 Jul 2023
Consistency-guided Meta-Learning for Bootstrapping Semi-Supervised Medical Image Segmentation Qingyue Wei Lequan Yu Xianhang Li Wei Shao Cihang Xie Lei Xing Yuyin Zhou 18 10 0 21 Jul 2023
Class Attention to Regions of Lesion for Imbalanced Medical Image Recognition Jia-Xin Zhuang Jiabin Cai Jianguo Zhang Wei-Shi Zheng Ruixuan Wang 6 10 0 19 Jul 2023
Towards Generalizable Diabetic Retinopathy Grading in Unseen Domains Haoxuan Che Yu-Tsen Cheng Haibo Jin Haoxing Chen MedIm 23 21 0 10 Jul 2023
Co-Learning Meets Stitch-Up for Noisy Multi-label Visual Recognition Chao Liang Zongxin Yang Linchao Zhu Yezhou Yang NoLa 24 8 0 03 Jul 2023
NCL++: Nested Collaborative Learning for Long-Tailed Visual Recognition Zichang Tan Jun Yu Li Jinhao Du Jun Wan Zhen Lei Guodong Guo VLM 28 21 0 29 Jun 2023
Near-Optimal Nonconvex-Strongly-Convex Bilevel Optimization with Fully First-Order Oracles Le‐Yu Chen Yaohua Ma Junzhe Zhang 84 2 0 26 Jun 2023
Multi-Label Meta Weighting for Long-Tailed Dynamic Scene Graph Generation Shuo Chen Yingjun Du Pascal Mettes Cees G. M. Snoek OffRL 28 2 0 16 Jun 2023
Stochastic Re-weighted Gradient Descent via Distributionally Robust Optimization Ramnath Kumar Kushal Majmundar Dheeraj M. Nagaraj A. Suggala ODL 24 6 0 15 Jun 2023
Fill-Up: Balancing Long-Tailed Data with Generative Models Joonghyuk Shin Minguk Kang Jaesik Park 24 29 0 12 Jun 2023
Feature Fusion from Head to Tail for Long-Tailed Visual Recognition Mengke Li Zhikai Hu Yang Lu Weichao Lan Yiu-ming Cheung Hui Huang 24 19 0 12 Jun 2023
Sample-Level Weighting for Multi-Task Learning with Auxiliary Tasks Emilie Grégoire M. H. Chaudhary Sam Verboven 24 1 0 07 Jun 2023
Fair Patient Model: Mitigating Bias in the Patient Representation Learned from the Electronic Health Records Sonish Sivarajkumar Yufei Huang Yanshan Wang 23 5 0 05 Jun 2023
Balancing Logit Variation for Long-tailed Semantic Segmentation Yuchao Wang Jingjing Fei Haochen Wang Wei Li Tianpeng Bao Liwei Wu Rui Zhao Yujun Shen 32 25 0 03 Jun 2023
Weaker Than You Think: A Critical Look at Weakly Supervised Learning D. Zhu Xiaoyu Shen Marius Mosbach Andreas Stephan Dietrich Klakow NoLa 31 9 0 27 May 2023
From Shortcuts to Triggers: Backdoor Defense with Denoised PoE Qin Liu Fei Wang Chaowei Xiao Muhao Chen AAML 37 21 0 24 May 2023
Generalizing Importance Weighting to A Universal Solver for Distribution Shift Problems Tongtong Fang Nan Lu Gang Niu Masashi Sugiyama OOD 9 5 0 24 May 2023
Weakly Supervised AUC Optimization: A Unified Partial AUC Approach Zheng Xie Yu Liu Hao He Ming Li Zhi-Hua Zhou NoLa 24 4 0 23 May 2023
Effective Bilevel Optimization via Minimax Reformulation Xiaoyu Wang Rui Pan Renjie Pi Tong Zhang 42 1 0 22 May 2023
Long-tailed Visual Recognition via Gaussian Clouded Logit Adjustment Mengke Li Yiu-ming Cheung Yang Lu 22 90 0 19 May 2023
Feature-Balanced Loss for Long-Tailed Visual Recognition Mengke Li Y. Cheung Juyong Jiang CVBM 34 13 0 18 May 2023
Adjusting Logit in Gaussian Form for Long-Tailed Visual Recognition Mengke Li Y. Cheung Yang Lu Zhikai Hu Weichao Lan Hui Huang 35 5 0 18 May 2023
DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning Jun Shu Xiang Yuan Deyu Meng Zongben Xu 28 4 0 13 May 2023
Enhancing Contrastive Learning with Noise-Guided Attack: Towards Continual Relation Extraction in the Wild Ting Wu Jingyi Liu Rui Zheng Qi Zhang Tao Gui Xuanjing Huang CLL 33 0 0 11 May 2023
Learngene: Inheriting Condensed Knowledge from the Ancestry Model to Descendant Models Qiufeng Wang Xu Yang Shuxia Lin Jing Wang Xin Geng 23 10 0 03 May 2023
A Curriculum View of Robust Loss Functions Zebin Ou Yue Zhang NoLa 17 0 0 03 May 2023
Implicit Counterfactual Data Augmentation for Deep Neural Networks Xiaoling Zhou Ou Wu OOD BDL CML 27 4 0 26 Apr 2023