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Active Learning under Label Shift
v1v2v3 (latest)

Active Learning under Label Shift

International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
16 July 2020
Eric Zhao
Anqi Liu
Anima Anandkumar
Yisong Yue
ArXiv (abs)PDFHTML

Papers citing "Active Learning under Label Shift"

19 / 19 papers shown
Bayesian-based Online Label Shift Estimation with Dynamic Dirichlet Priors
Bayesian-based Online Label Shift Estimation with Dynamic Dirichlet Priors
Jiawei Hu
Javier A. Barria
115
0
0
23 Nov 2025
Distributionally Robust Active Learning for Gaussian Process Regression
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
OODGP
542
0
0
24 Feb 2025
LPLgrad: Optimizing Active Learning Through Gradient Norm Sample
  Selection and Auxiliary Model Training
LPLgrad: Optimizing Active Learning Through Gradient Norm Sample Selection and Auxiliary Model TrainingBigData Congress [Services Society] (BSS), 2024
Shreen Gul
Mohamed Elmahallawy
S. Madria
Ardhendu Tripathy
247
2
0
20 Nov 2024
Theory-inspired Label Shift Adaptation via Aligned Distribution Mixture
Theory-inspired Label Shift Adaptation via Aligned Distribution Mixture
Ruidong Fan
Xiao Ouyang
Hong Tao
Yuhua Qian
Chenping Hou
OOD
343
1
0
04 Nov 2024
On the Pros and Cons of Active Learning for Moral Preference Elicitation
On the Pros and Cons of Active Learning for Moral Preference Elicitation
Vijay Keswani
Vincent Conitzer
Hoda Heidari
Jana Schaich Borg
Walter Sinnott-Armstrong
268
6
0
26 Jul 2024
A Survey on Deep Active Learning: Recent Advances and New Frontiers
A Survey on Deep Active Learning: Recent Advances and New Frontiers
Dongyuan Li
Zhen Wang
Yankai Chen
Xue Liu
Weiping Ding
Manabu Okumura
551
114
0
01 May 2024
A Short Survey on Importance Weighting for Machine Learning
A Short Survey on Importance Weighting for Machine Learning
Masanari Kimura
H. Hino
307
12
0
15 Mar 2024
Generator Assisted Mixture of Experts For Feature Acquisition in Batch
Generator Assisted Mixture of Experts For Feature Acquisition in Batch
Vedang Asgaonkar
Aditya Jain
Abir De
203
3
0
19 Dec 2023
ASPEST: Bridging the Gap Between Active Learning and Selective
  Prediction
ASPEST: Bridging the Gap Between Active Learning and Selective Prediction
Jiefeng Chen
Chang Jo Kim
Sayna Ebrahimi
Sercan O. Arik
S. Jha
Tomas Pfister
429
5
0
07 Apr 2023
High Dimensional Binary Classification under Label Shift: Phase
  Transition and Regularization
High Dimensional Binary Classification under Label Shift: Phase Transition and RegularizationSampling Theory, Signal Processing, and Data Analysis (SampTA), 2022
Jiahui Cheng
Minshuo Chen
Hao Liu
Tuo Zhao
Wenjing Liao
393
1
0
01 Dec 2022
Can You Label Less by Using Out-of-Domain Data? Active & Transfer
  Learning with Few-shot Instructions
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
226
8
0
21 Nov 2022
Active Learning with Expected Error Reduction
Active Learning with Expected Error Reduction
Stephen Mussmann
Julia Reisler
Daniel Tsai
Ehsan Mousavi
S. O'Brien
M. Goldszmidt
UQCVBDL
198
11
0
17 Nov 2022
Optimizing Data Collection for Machine Learning
Optimizing Data Collection for Machine LearningNeural Information Processing Systems (NeurIPS), 2022
Rafid Mahmood
James Lucas
J. Álvarez
Sanja Fidler
M. Law
289
36
0
03 Oct 2022
Estimating and Explaining Model Performance When Both Covariates and
  Labels Shift
Estimating and Explaining Model Performance When Both Covariates and Labels ShiftNeural Information Processing Systems (NeurIPS), 2022
Lingjiao Chen
Matei A. Zaharia
James Zou
296
24
0
18 Sep 2022
Pareto Optimization for Active Learning under Out-of-Distribution Data
  Scenarios
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
199
3
0
04 Jul 2022
Active Learning Over Multiple Domains in Natural Language Tasks
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
284
16
0
01 Feb 2022
Bayesian Active Learning for Sim-to-Real Robotic Perception
Bayesian Active Learning for Sim-to-Real Robotic PerceptionIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2021
Jianxiang Feng
Jongseok Lee
M. Durner
Rudolph Triebel
333
17
0
23 Sep 2021
Did the Model Change? Efficiently Assessing Machine Learning API Shifts
Did the Model Change? Efficiently Assessing Machine Learning API Shifts
Lingjiao Chen
Tracy Cai
Matei A. Zaharia
James Zou
284
21
0
29 Jul 2021
Corruption Robust Active Learning
Corruption Robust Active LearningNeural Information Processing Systems (NeurIPS), 2021
Yifang Chen
S. Du
Kevin Jamieson
205
5
0
21 Jun 2021
1
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