What is the Effect of Importance Weighting in Deep Learning?

8 December 2018

Papers citing "What is the Effect of Importance Weighting in Deep Learning?"

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Title
Imbalance Trouble: Revisiting Neural-Collapse Geometry Christos Thrampoulidis Ganesh Ramachandra Kini V. Vakilian Tina Behnia 40 70 0 10 Aug 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
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 39 7 0 22 Jul 2022
Balanced Contrastive Learning for Long-Tailed Visual Recognition Jianggang Zhu Ziyi Wang Jingjing Chen Yi-Ping Phoebe Chen Yueping Jiang 27 168 0 19 Jul 2022
Contrastive Adapters for Foundation Model Group Robustness Michael Zhang Christopher Ré VLM 23 62 0 14 Jul 2022
PCCT: Progressive Class-Center Triplet Loss for Imbalanced Medical Image Classification Kanghao Chen Weixian Lei Rong Zhang Shen Zhao Weishi Zheng Ruixuan Wang OOD 19 20 0 11 Jul 2022
Learning To Generate Scene Graph from Head to Tail Chao Zheng Xinyu Lyu Yuyu Guo Pengpeng Zeng Jingkuan Song Lianli Gao 22 10 0 23 Jun 2022
Learning Imbalanced Datasets with Maximum Margin Loss Haeyong Kang Thang Vu Chang D. Yoo 26 18 0 11 Jun 2022
FIFA: Making Fairness More Generalizable in Classifiers Trained on Imbalanced Data Zhun Deng Jiayao Zhang Linjun Zhang Ting Ye Yates Coley Weijie J. Su James Zou 43 16 0 06 Jun 2022
A Survey on Long-Tailed Visual Recognition Lu Yang He Jiang Q. Song Jun Guo 27 123 0 27 May 2022
Scene Clustering Based Pseudo-labeling Strategy for Multi-modal Aerial View Object Classification Jun-chen Yu Hao Chang Keda Lu Liwen Zhang Shenshen Du Zhong Zhang 32 2 0 04 May 2022
Undoing the Damage of Label Shift for Cross-domain Semantic Segmentation Yahao Liu Jinhong Deng Jiale Tao Tong Chu Lixin Duan Wen Li 33 21 0 12 Apr 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
Region Rebalance for Long-Tailed Semantic Segmentation Jiequan Cui Yuhui Yuan Zhisheng Zhong Zhuotao Tian Han Hu Stephen Lin Jiaya Jia 18 18 0 05 Apr 2022
Discovering Human-Object Interaction Concepts via Self-Compositional Learning Zhi Hou Baosheng Yu Dacheng Tao 27 18 0 27 Mar 2022
Rebalanced Siamese Contrastive Mining for Long-Tailed Recognition Zhisheng Zhong Jiequan Cui Zeming Li Eric Lo Jian Sun Jiaya Jia SSL 15 4 0 22 Mar 2022
Generalized Label Shift Correction via Minimum Uncertainty Principle: Theory and Algorithm You-Wei Luo Chuan-Xian Ren 27 2 0 26 Feb 2022
Controlling Directions Orthogonal to a Classifier Yilun Xu Hao He T. Shen Tommi Jaakkola 65 19 0 27 Jan 2022
A Generalized Weighted Optimization Method for Computational Learning and Inversion Bjorn Engquist Kui Ren Yunan Yang 31 4 0 23 Jan 2022
AutoBalance: Optimized Loss Functions for Imbalanced Data Mingchen Li Xuechen Zhang Christos Thrampoulidis Jiasi Chen Samet Oymak 24 67 0 04 Jan 2022
Margin Calibration for Long-Tailed Visual Recognition Yidong Wang Bowen Zhang Wenxin Hou Zhen Wu Jindong Wang T. Shinozaki MQ 16 27 0 14 Dec 2021
Quantile Filtered Imitation Learning David Brandfonbrener William F. Whitney Rajesh Ranganath Joan Bruna 33 6 0 02 Dec 2021
Targeted Supervised Contrastive Learning for Long-Tailed Recognition Tianhong Li Peng Cao Yuan. Yuan Lijie Fan Yuzhe Yang Rogerio Feris Piotr Indyk Dina Katabi 48 176 0 27 Nov 2021
Label-Aware Distribution Calibration for Long-tailed Classification Chaozheng Wang Shuzheng Gao Cuiyun Gao Pengyun Wang Wenjie Pei Lujia Pan Zenglin Xu 39 20 0 09 Nov 2021
Towards Calibrated Model for Long-Tailed Visual Recognition from Prior Perspective Zhengzhuo Xu Zenghao Chai Chun Yuan 70 52 0 06 Nov 2021
Mixture Proportion Estimation and PU Learning: A Modern Approach Saurabh Garg Yifan Wu Alexander J. Smola Sivaraman Balakrishnan Zachary Chase Lipton 24 52 0 01 Nov 2021
Simple data balancing achieves competitive worst-group-accuracy Badr Youbi Idrissi Martín Arjovsky Mohammad Pezeshki David Lopez-Paz 56 173 0 27 Oct 2021
SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data Alicia Curth Changhee Lee M. Schaar CML 30 30 0 26 Oct 2021
Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning Hanzhe Hu Fangyun Wei Han Hu Qiwei Ye J. Cui Liwei Wang 28 153 0 11 Oct 2021
Self-supervised Learning is More Robust to Dataset Imbalance Hong Liu Jeff Z. HaoChen Adrien Gaidon Tengyu Ma OOD SSL 43 157 0 11 Oct 2021
Long-tailed Distribution Adaptation Zhiliang Peng Wei Huang Zonghao Guo Xiaosong Zhang Jianbin Jiao QiXiang Ye 29 10 0 06 Oct 2021
Pulling Up by the Causal Bootstraps: Causal Data Augmentation for Pre-training Debiasing Sindhu C. M. Gowda Shalmali Joshi Haoran Zhang Marzyeh Ghassemi CML 37 8 0 27 Aug 2021
Imbalanced Adversarial Training with Reweighting Wentao Wang Han Xu Xiaorui Liu Yaxin Li B. Thuraisingham Jiliang Tang 37 16 0 28 Jul 2021
Just Train Twice: Improving Group Robustness without Training Group Information E. Liu Behzad Haghgoo Annie S. Chen Aditi Raghunathan Pang Wei Koh Shiori Sagawa Percy Liang Chelsea Finn OOD 37 540 0 19 Jul 2021
Predicate correlation learning for scene graph generation Lei Tao Li Mi Nannan Li Xianhang Cheng Yaosi Hu Zhenzhong Chen 45 17 0 06 Jul 2021
Mandoline: Model Evaluation under Distribution Shift Mayee F. Chen Karan Goel N. Sohoni Fait Poms Kayvon Fatahalian Christopher Ré 41 69 0 01 Jul 2021
Out-of-distribution Generalization in the Presence of Nuisance-Induced Spurious Correlations A. Puli Lily H. Zhang Eric K. Oermann Rajesh Ranganath OOD OODD 27 48 0 29 Jun 2021
RSG: A Simple but Effective Module for Learning Imbalanced Datasets Jianfeng Wang Thomas Lukasiewicz Xiaolin Hu Jianfei Cai Zhenghua Xu SyDa 30 84 0 18 Jun 2021
Balanced Knowledge Distillation for Long-tailed Learning Shaoyu Zhang Chen Chen Xiyuan Hu Silong Peng 56 57 0 21 Apr 2021
Procrustean Training for Imbalanced Deep Learning Han-Jia Ye De-Chuan Zhan Wei-Lun Chao 29 31 0 05 Apr 2021
Improving Calibration for Long-Tailed Recognition Zhisheng Zhong Jiequan Cui Shu Liu Jiaya Jia 27 288 0 01 Apr 2021
Understanding the role of importance weighting for deep learning Da Xu Yuting Ye Chuanwei Ruan FAtt 39 43 0 28 Mar 2021
Contrastive Learning based Hybrid Networks for Long-Tailed Image Classification Peng Wang Kai Han Xiu-Shen Wei Lei Zhang Lei Wang SSL 35 233 0 26 Mar 2021
Label-Imbalanced and Group-Sensitive Classification under Overparameterization Ganesh Ramachandra Kini Orestis Paraskevas Samet Oymak Christos Thrampoulidis 36 94 0 02 Mar 2021
CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning Chen Wei Kihyuk Sohn Clayton Mellina Alan Yuille Fan Yang CLL 40 257 0 18 Feb 2021
A Survey of Machine Learning for Computer Architecture and Systems Nan Wu Yuan Xie AI4TS AI4CE 25 145 0 16 Feb 2021
Towards Overcoming False Positives in Visual Relationship Detection Daisheng Jin Xiao Ma Chongzhi Zhang Yizhuo Zhou Jiashu Tao ... Haiyu Zhao Shuai Yi Zhoujun Li Xianglong Liu Hongsheng Li 30 5 0 23 Dec 2020
WILDS: A Benchmark of in-the-Wild Distribution Shifts Pang Wei Koh Shiori Sagawa Henrik Marklund Sang Michael Xie Marvin Zhang ... A. Kundaje Emma Pierson Sergey Levine Chelsea Finn Percy Liang OOD 106 1,386 0 14 Dec 2020
Towards Resolving the Challenge of Long-tail Distribution in UAV Images for Object Detection Weiping Yu Taojiannan Yang Chong Chen 25 90 0 07 Nov 2020
Coping with Label Shift via Distributionally Robust Optimisation J.N. Zhang A. Menon Andreas Veit Srinadh Bhojanapalli Sanjiv Kumar S. Sra OOD 24 70 0 23 Oct 2020