A Short Survey on Importance Weighting for Machine Learning

15 March 2024

Masanari Kimura

Papers citing "A Short Survey on Importance Weighting for Machine Learning"

50 / 58 papers shown

Title
Information Geometrically Generalized Covariate Shift Adaptation Masanari Kimura H. Hino OOD 49 7 0 19 Apr 2023
Change is Hard: A Closer Look at Subpopulation Shift Yuzhe Yang Haoran Zhang Dina Katabi Marzyeh Ghassemi OOD 54 105 0 23 Feb 2023
AdaFocal: Calibration-aware Adaptive Focal Loss Arindam Ghosh Thomas Schaaf Matthew R. Gormley FedML UQCV 72 29 0 21 Nov 2022
Active Learning with Expected Error Reduction Stephen Mussmann Julia Reisler Daniel Tsai Ehsan Mousavi S. O'Brien M. Goldszmidt UQCV BDL 72 11 0 17 Nov 2022
Learning Sample Reweighting for Accuracy and Adversarial Robustness Chester Holtz Tsui-Wei Weng Zhengchao Wan OOD 69 4 0 20 Oct 2022
Alpha-divergence Variational Inference Meets Importance Weighted Auto-Encoders: Methodology and Asymptotics Kamélia Daudel Joe Benton Yuyang Shi Arnaud Doucet DRL 48 11 0 12 Oct 2022
Importance Tempering: Group Robustness for Overparameterized Models Yiping Lu Wenlong Ji Zachary Izzo Lexing Ying 64 7 0 19 Sep 2022
Domain Adaptation under Open Set Label Shift Saurabh Garg Sivaraman Balakrishnan Zachary Chase Lipton OOD VLM 48 42 0 26 Jul 2022
Adversarial Focal Loss: Asking Your Discriminator for Hard Examples Chen Liu Xiaomeng Dong Michael Potter Hsi-Ming Chang Ravi Soni 49 2 0 15 Jul 2022
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 277 30,109 0 01 Mar 2022
Cyclical Focal Loss L. Smith 54 14 0 16 Feb 2022
Featurized Density Ratio Estimation Kristy Choi Madeline Liao Stefano Ermon TPM 54 23 0 05 Jul 2021
Dynamic Weighted Learning for Unsupervised Domain Adaptation Ning Xiao Lei Zhang 42 145 0 22 Mar 2021
Fairness in Credit Scoring: Assessment, Implementation and Profit Implications Nikita Kozodoi Johannes Jacob Stefan Lessmann FaML 54 116 0 02 Mar 2021
On Statistical Bias In Active Learning: How and When To Fix It Sebastian Farquhar Y. Gal Tom Rainforth TDI HAI 42 85 0 27 Jan 2021
Active Learning: Problem Settings and Recent Developments H. Hino 32 41 0 08 Dec 2020
Suppressing Mislabeled Data via Grouping and Self-Attention Xiaojiang Peng Kai Wang Zhaoyang Zeng Qing Li Jianfei Yang Yu Qiao 40 32 0 29 Oct 2020
Large-Scale Methods for Distributionally Robust Optimization Daniel Levy Y. Carmon John C. Duchi Aaron Sidford 76 217 0 12 Oct 2020
How Does Mixup Help With Robustness and Generalization? Linjun Zhang Zhun Deng Kenji Kawaguchi Amirata Ghorbani James Zou AAML 84 251 0 09 Oct 2020
A Brief Review of Domain Adaptation Abolfazl Farahani Sahar Voghoei Khaled Rasheed H. Arabnia OOD 50 542 0 07 Oct 2020
Fairness in Machine Learning: A Survey Simon Caton C. Haas FaML 102 640 0 04 Oct 2020
Contextual Diversity for Active Learning Sharat Agarwal H. Arora Saket Anand Chetan Arora 127 169 0 13 Aug 2020
BREEDS: Benchmarks for Subpopulation Shift Shibani Santurkar Dimitris Tsipras Aleksander Madry OOD 59 172 0 11 Aug 2020
Active Learning under Label Shift Eric Zhao Anqi Liu Anima Anandkumar Yisong Yue 78 26 0 16 Jul 2020
Learning from Noisy Labels with Deep Neural Networks: A Survey Hwanjun Song Minseok Kim Dongmin Park Yooju Shin Jae-Gil Lee NoLa 109 987 0 16 Jul 2020
Fairness without Demographics through Adversarially Reweighted Learning Preethi Lahoti Alex Beutel Jilin Chen Kang Lee Flavien Prost Nithum Thain Xuezhi Wang Ed H. Chi FaML 114 337 0 23 Jun 2020
Rethinking Importance Weighting for Deep Learning under Distribution Shift Tongtong Fang Nan Lu Gang Niu Masashi Sugiyama 62 139 0 08 Jun 2020
Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection Xiang Li Wenhai Wang Lijun Wu Shuo Chen Xiaolin Hu Jun Li Jinhui Tang Jian Yang ObjD 71 1,199 0 08 Jun 2020
What Makes for Good Views for Contrastive Learning? Yonglong Tian Chen Sun Ben Poole Dilip Krishnan Cordelia Schmid Phillip Isola SSL 100 1,329 0 20 May 2020
Supervised Contrastive Learning Prannay Khosla Piotr Teterwak Chen Wang Aaron Sarna Yonglong Tian Phillip Isola Aaron Maschinot Ce Liu Dilip Krishnan SSL 149 4,547 0 23 Apr 2020
Towards Inheritable Models for Open-Set Domain Adaptation Jogendra Nath Kundu Naveen Venkat R. Ambareesh V. RahulM. R. Venkatesh Babu VLM 55 119 0 09 Apr 2020
Calibrating Deep Neural Networks using Focal Loss Jishnu Mukhoti Viveka Kulharia Amartya Sanyal Stuart Golodetz Philip Torr P. Dokania UQCV 81 463 0 21 Feb 2020
Domain Aggregation Networks for Multi-Source Domain Adaptation Junfeng Wen Russell Greiner Dale Schuurmans 55 71 0 11 Sep 2019
Are Anchor Points Really Indispensable in Label-Noise Learning? Xiaobo Xia Tongliang Liu N. Wang Bo Han Chen Gong Gang Niu Masashi Sugiyama NoLa 73 379 0 01 Jun 2019
Active Adversarial Domain Adaptation Jong-Chyi Su Yi-Hsuan Tsai Kihyuk Sohn Buyu Liu Subhransu Maji Manmohan Chandraker 57 139 0 16 Apr 2019
Exploring Representativeness and Informativeness for Active Learning Bo Du Zengmao Wang Lefei Zhang Liangpei Zhang Wen Liu Jialie Shen Dacheng Tao 37 173 0 14 Apr 2019
On The Power of Curriculum Learning in Training Deep Networks Guy Hacohen D. Weinshall ODL 70 445 0 07 Apr 2019
Learning to Transfer Examples for Partial Domain Adaptation Zhangjie Cao Kaichao You Mingsheng Long Jianmin Wang Qiang Yang 62 274 0 28 Mar 2019
Evaluating model calibration in classification Juozas Vaicenavicius David Widmann Carl R. Andersson Fredrik Lindsten Jacob Roll Thomas B. Schon UQCV 157 198 0 19 Feb 2019
What is the Effect of Importance Weighting in Deep Learning? Jonathon Byrd Zachary Chase Lipton 89 464 0 08 Dec 2018
Learning from positive and unlabeled data: a survey Jessa Bekker Jesse Davis 75 560 0 12 Nov 2018
Partial Adversarial Domain Adaptation Zhangjie Cao Li-jie Ma Mingsheng Long Jianmin Wang 85 439 0 10 Aug 2018
Reacting to Variations in Product Demand: An Application for Conversion Rate (CR) Prediction in Sponsored Search Marcelo Tallis Pranjul Yadav 49 28 0 25 May 2018
Masking: A New Perspective of Noisy Supervision Bo Han Jiangchao Yao Gang Niu Mingyuan Zhou Ivor Tsang Ya Zhang Masashi Sugiyama NoLa 68 255 0 21 May 2018
Importance Weighted Adversarial Nets for Partial Domain Adaptation Jing Zhang Zewei Ding W. Li P. Ogunbona 74 420 0 25 Mar 2018
Learning to Reweight Examples for Robust Deep Learning Mengye Ren Wenyuan Zeng Binh Yang R. Urtasun OOD NoLa 143 1,426 0 24 Mar 2018
Risk and parameter convergence of logistic regression Ziwei Ji Matus Telgarsky 73 130 0 20 Mar 2018
Detecting and Correcting for Label Shift with Black Box Predictors Zachary Chase Lipton Yu Wang Alex Smola OOD 63 554 0 12 Feb 2018
Deep Visual Domain Adaptation: A Survey Mei Wang Weihong Deng OOD 70 2,013 0 10 Feb 2018
mixup: Beyond Empirical Risk Minimization Hongyi Zhang Moustapha Cissé Yann N. Dauphin David Lopez-Paz NoLa 280 9,764 0 25 Oct 2017