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
Joint Neural Architecture and Hyperparameter Search for Correlated Time Series Forecasting Xinle Wu Dalin Zhang Miao Zhang Chenjuan Guo B. Yang Christian S. Jensen AI4TS 31 26 0 29 Nov 2022
Learning with Silver Standard Data for Zero-shot Relation Extraction Tianyi Wang Jianwei Wang Ziqian Zeng 32 2 0 25 Nov 2022
When Noisy Labels Meet Long Tail Dilemmas: A Representation Calibration Method Manyi Zhang Xuyang Zhao Jun Yao Chun Yuan Weiran Huang 36 20 0 20 Nov 2022
Learning from Long-Tailed Noisy Data with Sample Selection and Balanced Loss Lefan Zhang Zhang-Hao Tian Wujun Zhou Wei Wang NoLa 24 2 0 20 Nov 2022
EfficientTrain: Exploring Generalized Curriculum Learning for Training Visual Backbones Yulin Wang Yang Yue Rui Lu Tian-De Liu Zhaobai Zhong S. Song Gao Huang 37 28 0 17 Nov 2022
Adaptive Multi-Corpora Language Model Training for Speech Recognition Yingyi Ma Zhe Liu Xuedong Zhang 31 2 0 09 Nov 2022
Soft Augmentation for Image Classification Yang Liu Shen Yan Laura Leal-Taixé James Hays Deva Ramanan 29 11 0 09 Nov 2022
Learning advisor networks for noisy image classification Simone Ricci Tiberio Uricchio A. Bimbo NoLa 34 0 0 08 Nov 2022
Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning Yu Meng Martin Michalski Jiaxin Huang Yu Zhang Tarek F. Abdelzaher Jiawei Han VLM 51 46 0 06 Nov 2022
MetaASSIST: Robust Dialogue State Tracking with Meta Learning Fanghua Ye Xi Wang Jie Huang Shenghui Li Sam Stern Emine Yilmaz 28 9 0 22 Oct 2022
A Survey of Dataset Refinement for Problems in Computer Vision Datasets Zhijing Wan Zhixiang Wang CheukTing Chung Zheng Wang 36 8 0 21 Oct 2022
Learning Sample Reweighting for Accuracy and Adversarial Robustness Chester Holtz Tsui-Wei Weng Gal Mishne OOD 28 4 0 20 Oct 2022
Neural Estimation of Submodular Functions with Applications to Differentiable Subset Selection A. De Soumen Chakrabarti 21 4 0 20 Oct 2022
Forging Multiple Training Objectives for Pre-trained Language Models via Meta-Learning Hongqiu Wu Ruixue Ding Haizhen Zhao Boli Chen Pengjun Xie Fei Huang Min Zhang MoMe 27 8 0 19 Oct 2022
Bootstrapping the Relationship Between Images and Their Clean and Noisy Labels Brandon Smart G. Carneiro NoLa 26 11 0 17 Oct 2022
Weighted Distillation with Unlabeled Examples Fotis Iliopoulos Vasilis Kontonis Cenk Baykal Gaurav Menghani Khoa Trinh Erik Vee 6 12 0 13 Oct 2022
How to Sift Out a Clean Data Subset in the Presence of Data Poisoning? Yi Zeng Minzhou Pan Himanshu Jahagirdar Ming Jin Lingjuan Lyu R. Jia AAML 39 21 0 12 Oct 2022
TGDM: Target Guided Dynamic Mixup for Cross-Domain Few-Shot Learning Linhai Zhuo Yu Fu Jingjing Chen Yixin Cao Yu-Gang Jiang 57 15 0 11 Oct 2022
Robust Active Distillation Cenk Baykal Khoa Trinh Fotis Iliopoulos Gaurav Menghani Erik Vee 31 10 0 03 Oct 2022
Exploring Example Influence in Continual Learning Q. Sun Fan Lyu Fanhua Shang Wei Feng Liang Wan CLL 71 45 0 25 Sep 2022
Benchmarking and Analyzing 3D Human Pose and Shape Estimation Beyond Algorithms Huijuan Pang Zhongang Cai Lei Yang Tianwei Zhang Ziwei Liu 3DH 52 29 0 21 Sep 2022
Imbalanced Node Processing Method in Graph Neural Network Classification Task Min Liu Siwen Jin Luo Jin Shuohan Wang Yu Fang Yuliang Shi 14 0 0 18 Sep 2022
Learning to Weight Samples for Dynamic Early-exiting Networks Yizeng Han Yifan Pu Zihang Lai Chaofei Wang S. Song Junfen Cao Wenhui Huang Chao Deng Gao Huang 59 54 0 17 Sep 2022
A Systematic Evaluation of Node Embedding Robustness Alexandru Mara Jefrey Lijffijt Stephan Günnemann T. D. Bie AAML 19 0 0 16 Sep 2022
Explicit Tradeoffs between Adversarial and Natural Distributional Robustness Mazda Moayeri Kiarash Banihashem S. Feizi OOD 75 21 0 15 Sep 2022
Data Augmentation by Selecting Mixed Classes Considering Distance Between Classes Shungo Fujii Yasunori Ishii Kazuki Kozuka Tsubasa Hirakawa Takayoshi Yamashita H. Fujiyoshi 44 2 0 12 Sep 2022
Difficulty-Net: Learning to Predict Difficulty for Long-Tailed Recognition Saptarshi Sinha Hiroki Ohashi 19 6 0 07 Sep 2022
Instance-Dependent Noisy Label Learning via Graphical Modelling Arpit Garg Cuong C. Nguyen Rafael Felix Thanh-Toan Do G. Carneiro NoLa 34 27 0 02 Sep 2022
MIME: Minority Inclusion for Majority Group Enhancement of AI Performance Pradyumna Chari Yunhao Ba Shreeram S. Athreya A. Kadambi 24 3 0 01 Sep 2022
Combating Noisy Labels in Long-Tailed Image Classification Chaowei Fang Lechao Cheng Huiyan Qi Dingwen Zhang NoLa 19 2 0 01 Sep 2022
Label-Efficient Self-Training for Attribute Extraction from Semi-Structured Web Documents Ritesh Sarkhel Binxuan Huang Colin Lockard Prashant Shiralkar 14 2 0 27 Aug 2022
Meta Objective Guided Disambiguation for Partial Label Learning B. Zou Ming-Kun Xie Sheng-Jun Huang 31 0 0 26 Aug 2022
Enhancement Encoding: A Novel Imbalanced Classification Approach via Encoding the Training Labels J. Zhao 34 1 0 23 Aug 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
Dynamic Adaptive Threshold based Learning for Noisy Annotations Robust Facial Expression Recognition Darshan Gera Kumar Badveeti Bobbili Veerendra S. Balasubramanian 19 6 0 22 Aug 2022
DiscrimLoss: A Universal Loss for Hard Samples and Incorrect Samples Discrimination Tingting Wu Xiao Ding Hao Zhang Jin-Fang Gao LI DU Bing Qin Ting Liu 46 9 0 21 Aug 2022
GraVoS: Voxel Selection for 3D Point-Cloud Detection Oren Shrout Yizhak Ben-Shabat A. Tal 3DPC 14 7 0 18 Aug 2022
CTRL: Clustering Training Losses for Label Error Detection C. Yue N. Jha NoLa 41 14 0 17 Aug 2022
Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing Qingyun Sun Jianxin Li Haonan Yuan Xingcheng Fu Hao Peng Cheng Ji Qian Li Philip S. Yu 16 37 0 17 Aug 2022
Maximising the Utility of Validation Sets for Imbalanced Noisy-label Meta-learning D. Hoang Cuong C. Nguyen Cuong Nguyen anh Belagiannis Vasileios G. Carneiro 25 2 0 17 Aug 2022
PA-Seg: Learning from Point Annotations for 3D Medical Image Segmentation using Contextual Regularization and Cross Knowledge Distillation Shuwei Zhai Guotai Wang Xiangde Luo Qian Yue Kang Li Shaoting Zhang 3DPC 24 25 0 11 Aug 2022
Neighborhood Collective Estimation for Noisy Label Identification and Correction Jichang Li Guanbin Li Feng Liu Yizhou Yu NoLa 27 29 0 05 Aug 2022
Learning to Re-weight Examples with Optimal Transport for Imbalanced Classification D. Guo Zhuo Li Meixi Zheng He Zhao Mingyuan Zhou H. Zha 40 24 0 05 Aug 2022
Class-Difficulty Based Methods for Long-Tailed Visual Recognition Saptarshi Sinha Hiroki Ohashi Katsuyuki Nakamura 21 30 0 29 Jul 2022
Imbalanced Semi-supervised Learning with Bias Adaptive Classifier Renzhen Wang Xixi Jia Quanziang Wang Yichen Wu Deyu Meng 25 16 0 28 Jul 2022
NICEST: Noisy Label Correction and Training for Robust Scene Graph Generation Lin Li Jun Xiao Hanrong Shi Hanwang Zhang Yi Yang Wei Liu Long Chen 26 22 0 27 Jul 2022
Gradient-based Bi-level Optimization for Deep Learning: A Survey Can Chen Xiangshan Chen Chen-li Ma Zixuan Liu Xue Liu 88 35 0 24 Jul 2022
Two-Stage Fine-Tuning: A Novel Strategy for Learning Class-Imbalanced Data Taha ValizadehAslani Yiwen Shi Jing Wang Ping Ren Yi Zhang Meng Hu Lianggong Zhao Hualou Liang 28 7 0 22 Jul 2022
Learning from Data with Noisy Labels Using Temporal Self-Ensemble Jun Ho Lee J. Baik Taebaek Hwang J. Choi NoLa 28 1 0 21 Jul 2022
Learn From All: Erasing Attention Consistency for Noisy Label Facial Expression Recognition Yuhang Zhang Chengrui Wang Xu Ling Weihong Deng 35 136 0 21 Jul 2022