Learning to Reweight Examples for Robust Deep Learning

24 March 2018

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

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Title
Combining Adversaries with Anti-adversaries in Training Xiaoling Zhou Nan Yang Ou Wu AAML 18 6 0 25 Apr 2023
Balancing Unobserved Confounding with a Few Unbiased Ratings in Debiased Recommendations Haoxuan Li Yanghao Xiao Chunyuan Zheng Peng Wu CML 21 48 0 17 Apr 2023
Chinese Open Instruction Generalist: A Preliminary Release Ge Zhang Yemin Shi Ruibo Liu Ruibin Yuan Yizhi Li ... Zhaoqun Li Zekun Wang Chenghua Lin Wen-Fen Huang Jie Fu ALM 30 28 0 17 Apr 2023
Noisy Correspondence Learning with Meta Similarity Correction Haocheng Han Kaiyao Miao Qinghua Zheng Minnan Luo 32 28 0 13 Apr 2023
Hyperbolic Geometric Graph Representation Learning for Hierarchy-imbalance Node Classification Xingcheng Fu Yuecen Wei Qingyun Sun Haonan Yuan Jia Wu Hao Peng Jianxin Li AI4CE 24 24 0 11 Apr 2023
Curricular Object Manipulation in LiDAR-based Object Detection Ziyue Zhu Qiang Meng Tianlin Li Ke Wang Liujiang Yan Jian Yang 3DPC 22 9 0 09 Apr 2023
Logistic-Normal Likelihoods for Heteroscedastic Label Noise Erik Englesson Amir Mehrpanah Hossein Azizpour NoLa 26 1 0 06 Apr 2023
WeakTr: Exploring Plain Vision Transformer for Weakly-supervised Semantic Segmentation Liang Zhu Yingyue Li Jiemin Fang Yan Liu Hao Xin Wenyu Liu Xinggang Wang ViT 31 28 0 03 Apr 2023
SuperDisco: Super-Class Discovery Improves Visual Recognition for the Long-Tail Yingjun Du Jiayi Shen Xiantong Zhen Cees G. M. Snoek 39 12 0 31 Mar 2023
Lipschitzness Effect of a Loss Function on Generalization Performance of Deep Neural Networks Trained by Adam and AdamW Optimizers M. Lashkari Amin Gheibi 19 3 0 29 Mar 2023
SC-MIL: Supervised Contrastive Multiple Instance Learning for Imbalanced Classification in Pathology Dinkar Juyal S. Shingi Syed Ashar Javed Harshith Padigela Chintan Shah Anand Sampat Archit Khosla J. Abel A. Taylor-Weiner 30 6 0 23 Mar 2023
BiCro: Noisy Correspondence Rectification for Multi-modality Data via Bi-directional Cross-modal Similarity Consistency Shuo Yang Zhaopan Xu Kai Wang Yang You H. Yao Tongliang Liu Min Xu 24 27 0 22 Mar 2023
Dens-PU: PU Learning with Density-Based Positive Labeled Augmentation Vasileios Sevetlidis George Pavlidis S. Mouroutsos Antonios Gasteratos 25 4 0 21 Mar 2023
PASS: Peer-Agreement based Sample Selection for training with Noisy Labels Arpit Garg Cuong C. Nguyen Rafael Felix Thanh-Toan Do G. Carneiro 22 2 0 20 Mar 2023
Learning with Noisy Labels through Learnable Weighting and Centroid Similarity F. Wani Maria Sofia Bucarelli Fabrizio Silvestri NoLa 37 3 0 16 Mar 2023
Distributionally Robust Optimization with Probabilistic Group Soumya Suvra Ghosal Yixuan Li OOD 8 6 0 10 Mar 2023
Guiding Pseudo-labels with Uncertainty Estimation for Source-free Unsupervised Domain Adaptation Mattia Litrico Alessio Del Bue Pietro Morerio UQCV 39 59 0 07 Mar 2023
Fine-Grained Classification with Noisy Labels Qinglai Wei Lei Feng Haoliang Sun Ren Wang Chenhui Guo Yilong Yin NoLa 103 19 0 04 Mar 2023
Semantic-aware Node Synthesis for Imbalanced Heterogeneous Information Networks Xin Gao Wentao Zhang Tong Chen Junliang Yu Hung Quoc Viet Nguyen Hongzhi Yin 38 10 0 27 Feb 2023
Latent Class-Conditional Noise Model Jiangchao Yao Bo Han Zhihan Zhou Ya-Qin Zhang Ivor W. Tsang NoLa BDL 33 8 0 19 Feb 2023
Generative Oversampling for Imbalanced Data via Majority-Guided VAE Qingzhong Ai Pengyun Wang Lirong He Liangjiang Wen Lujia Pan Zenglin Xu 19 7 0 14 Feb 2023
Learning from Noisy Labels with Decoupled Meta Label Purifier Yuanpeng Tu Boshen Zhang Yuxi Li Liang Liu Jian Li Yabiao Wang Chengjie Wang C. Zhao NoLa 49 27 0 14 Feb 2023
Learning with Noisy labels via Self-supervised Adversarial Noisy Masking Yuanpeng Tu Boshen Zhang Yuxi Li Liang Liu Jian Li Jiangning Zhang Yabiao Wang Chengjie Wang C. Zhao AAML NoLa 38 15 0 14 Feb 2023
Confidence-based Reliable Learning under Dual Noises Peng Cui Yang Yue Zhijie Deng Jun Zhu NoLa 33 8 0 10 Feb 2023
Learning to Select Pivotal Samples for Meta Re-weighting Yinjun Wu Adam Stein Jacob R. Gardner Mayur Naik 29 0 0 09 Feb 2023
SLaM: Student-Label Mixing for Distillation with Unlabeled Examples Vasilis Kontonis Fotis Iliopoulos Khoa Trinh Cenk Baykal Gaurav Menghani Erik Vee 20 7 0 08 Feb 2023
APAM: Adaptive Pre-training and Adaptive Meta Learning in Language Model for Noisy Labels and Long-tailed Learning Sunyi Chi B. Dong Yiming Xu Zhenyu Shi Zheng Du NoLa 31 3 0 06 Feb 2023
Learning Large-scale Neural Fields via Context Pruned Meta-Learning Jihoon Tack Subin Kim Sihyun Yu Jaeho Lee Jinwoo Shin Jonathan Richard Schwarz 32 9 0 01 Feb 2023
DELTA: degradation-free fully test-time adaptation Bowen Zhao Chen Chen Shutao Xia TTA 86 55 0 30 Jan 2023
Meta-Learning Mini-Batch Risk Functionals Jacob Tyo Zachary Chase Lipton 22 0 0 27 Jan 2023
Probabilistic Bilevel Coreset Selection Xiao Zhou Renjie Pi Weizhong Zhang Yong Lin Tong Zhang NoLa 28 27 0 24 Jan 2023
Model Agnostic Sample Reweighting for Out-of-Distribution Learning Xiao Zhou Yong Lin Renjie Pi Weizhong Zhang Renzhe Xu Peng Cui Tong Zhang OODD 39 60 0 24 Jan 2023
Improve Noise Tolerance of Robust Loss via Noise-Awareness Kehui Ding Jun Shu Deyu Meng Zongben Xu NoLa 33 5 0 18 Jan 2023
Data Valuation Without Training of a Model Nohyun Ki Hoyong Choi Hye Won Chung TDI 18 31 0 03 Jan 2023
Knockoffs-SPR: Clean Sample Selection in Learning with Noisy Labels Yikai Wang Yanwei Fu Xinwei Sun NoLa 55 8 0 02 Jan 2023
On Implicit Bias in Overparameterized Bilevel Optimization Paul Vicol Jon Lorraine Fabian Pedregosa David Duvenaud Roger C. Grosse AI4CE 33 37 0 28 Dec 2022
Learning to Detect Noisy Labels Using Model-Based Features Zhihao Wang Zongyu Lin Peiqi Liu Guidong Zheng Jun-Hao Wen Xianxin Chen Yujun Chen Zhilin Yang NoLa 14 3 0 28 Dec 2022
Noise-aware Learning from Web-crawled Image-Text Data for Image Captioning Woohyun Kang Jonghwan Mun Sungjun Lee Byungseok Roh VLM 6 18 0 27 Dec 2022
Deep Unfolding-based Weighted Averaging for Federated Learning in Heterogeneous Environments Ayano Nakai-Kasai T. Wadayama FedML 27 0 0 23 Dec 2022
End to End Generative Meta Curriculum Learning For Medical Data Augmentation Meng Li Brian C. Lovell MedIm 24 4 0 20 Dec 2022
FewFedWeight: Few-shot Federated Learning Framework across Multiple NLP Tasks Weilong Dong Xinwei Wu Junzhuo Li Shuangzhi Wu Chao Bian Deyi Xiong FedML 31 6 0 16 Dec 2022
Improving group robustness under noisy labels using predictive uncertainty Dongpin Oh Dae Lee Jeunghyun Byun Bonggun Shin UQCV 23 3 0 14 Dec 2022
Selective classification using a robust meta-learning approach Nishant Jain Karthikeyan Shanmugam Pradeep Shenoy OOD 26 2 0 12 Dec 2022
Instance-Conditional Timescales of Decay for Non-Stationary Learning Nishant Jain Pradeep Shenoy 27 3 0 12 Dec 2022
Generating and Weighting Semantically Consistent Sample Pairs for Ultrasound Contrastive Learning Yixiong Chen Chunhui Zhang C. Ding Li Liu 34 14 0 08 Dec 2022
Mitigating Memorization of Noisy Labels by Clipping the Model Prediction Hongxin Wei Huiping Zhuang Renchunzi Xie Lei Feng Gang Niu Bo An Yixuan Li VLM NoLa 24 29 0 08 Dec 2022
PADDLES: Phase-Amplitude Spectrum Disentangled Early Stopping for Learning with Noisy Labels Huaxi Huang Hui-Sung Kang Sheng Liu Olivier Salvado Thierry Rakotoarivelo Dadong Wang Tongliang Liu NoLa 25 7 0 07 Dec 2022
Leveraging Angular Information Between Feature and Classifier for Long-tailed Learning: A Prediction Reformulation Approach Haoxu Wang Junchi Yan 26 1 0 03 Dec 2022
Model and Data Agreement for Learning with Noisy Labels Yuhang Zhang Weihong Deng Xingchen Cui Yunfeng Yin Hongzhi Shi Dongchao Wen NoLa 34 5 0 02 Dec 2022
Denoising after Entropy-based Debiasing A Robust Training Method for Dataset Bias with Noisy Labels Sumyeong Ahn Se-Young Yun NoLa 26 2 0 01 Dec 2022