Active Learning under Label Shift

Active Learning under Label Shift

16 July 2020

Anima Anandkumar

Papers citing "Active Learning under Label Shift"

19 / 19 papers shown

Title
Distributionally Robust Active Learning for Gaussian Process Regression Shion Takeno Yoshito Okura Yu Inatsu Aoyama Tatsuya Tomonari Tanaka ... Noriaki Hashimoto Taro Murayama Hanju Lee Shinya Kojima Ichiro Takeuchi OOD GP 43 0 0 24 Feb 2025
LPLgrad: Optimizing Active Learning Through Gradient Norm Sample Selection and Auxiliary Model Training Shreen Gul Mohamed Elmahallawy S. Madria Ardhendu Tripathy 59 0 0 20 Nov 2024
Theory-inspired Label Shift Adaptation via Aligned Distribution Mixture Ruidong Fan Xiao Ouyang Hong Tao Yuhua Qian Chenping Hou OOD 47 0 0 04 Nov 2024
On the Pros and Cons of Active Learning for Moral Preference Elicitation Vijay Keswani Vincent Conitzer Hoda Heidari Jana Schaich Borg Walter Sinnott-Armstrong 34 2 0 26 Jul 2024
A Survey on Deep Active Learning: Recent Advances and New Frontiers Dongyuan Li Zhen Wang Yankai Chen Renhe Jiang Weiping Ding Manabu Okumura 44 20 0 01 May 2024
A Short Survey on Importance Weighting for Machine Learning Masanari Kimura H. Hino 36 5 0 15 Mar 2024
Generator Assisted Mixture of Experts For Feature Acquisition in Batch Vedang Asgaonkar Aditya Jain Abir De 15 0 0 19 Dec 2023
ASPEST: Bridging the Gap Between Active Learning and Selective Prediction Jiefeng Chen Jinsung Yoon Sayna Ebrahimi Sercan Ö. Arik S. Jha Tomas Pfister 30 1 0 07 Apr 2023
High Dimensional Binary Classification under Label Shift: Phase Transition and Regularization Jiahui Cheng Minshuo Chen Hao Liu Tuo Zhao Wenjing Liao 34 0 0 01 Dec 2022
Can You Label Less by Using Out-of-Domain Data? Active & Transfer Learning with Few-shot Instructions Rafal Kocielnik Sara Kangaslahti Shrimai Prabhumoye M. Hari R. Alvarez Anima Anandkumar 13 6 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 17 10 0 17 Nov 2022
Optimizing Data Collection for Machine Learning Rafid Mahmood James Lucas J. Álvarez Sanja Fidler M. Law 85 26 0 03 Oct 2022
Estimating and Explaining Model Performance When Both Covariates and Labels Shift Lingjiao Chen Matei A. Zaharia James Y. Zou 20 15 0 18 Sep 2022
Pareto Optimization for Active Learning under Out-of-Distribution Data Scenarios Xueying Zhan Zeyu Dai Qingzhong Wang Qing Li Haoyi Xiong Dejing Dou Antoni B. Chan OODD 11 3 0 04 Jul 2022
Active Learning Over Multiple Domains in Natural Language Tasks Shayne Longpre Julia Reisler E. G. Huang Yi Lu Andrew J. Frank Nikhil Ramesh Chris DuBois OOD 19 13 0 01 Feb 2022
Bayesian Active Learning for Sim-to-Real Robotic Perception Jianxiang Feng Jongseok Lee M. Durner Rudolph Triebel 46 13 0 23 Sep 2021
Did the Model Change? Efficiently Assessing Machine Learning API Shifts Lingjiao Chen Tracy Cai Matei A. Zaharia James Y. Zou 18 17 0 29 Jul 2021
Corruption Robust Active Learning Yifang Chen S. Du Kevin G. Jamieson 19 5 0 21 Jun 2021
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,136 0 06 Jun 2015