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Importance Weighted Active Learning
v1v2v3v4 (latest)

Importance Weighted Active Learning

29 December 2008
A. Beygelzimer
S. Dasgupta
John Langford
ArXiv (abs)PDFHTML

Papers citing "Importance Weighted Active Learning"

50 / 128 papers shown
Title
Budgeted Multiple-Expert Deferral
Budgeted Multiple-Expert Deferral
Giulia DeSalvo
Clara Mohri
M. Mohri
Yutao Zhong
12
0
0
30 Oct 2025
Analytical Survey of Learning with Low-Resource Data: From Analysis to Investigation
Analytical Survey of Learning with Low-Resource Data: From Analysis to Investigation
Xiaofeng Cao
Mingwei Xu
Xin Yu
Jiangchao Yao
Wei Ye
...
Minling Zhang
Ivor Tsang
Yew-Soon Ong
James T. Kwok
Heng Tao Shen
55
3
0
10 Oct 2025
Monotone Classification with Relative Approximations
Monotone Classification with Relative Approximations
Yufei Tao
207
0
0
12 Jun 2025
Audio-Enhanced Vision-Language Modeling with Latent Space Broadening for High Quality Data Expansion
Audio-Enhanced Vision-Language Modeling with Latent Space Broadening for High Quality Data Expansion
Yu Sun
Yin Li
R.-H. Sun
Chunhui Liu
Fangming Zhou
Ze Jin
Linjie Wang
Xiang Shen
Zhuolin Hao
Hongyu Xiong
VLM
158
5
0
21 Mar 2025
Dependency-aware Maximum Likelihood Estimation for Active Learning
Dependency-aware Maximum Likelihood Estimation for Active Learning
Beyza Kalkanli
Tales Imbiriba
Stratis Ioannidis
Deniz Erdogmus
Jennifer Dy
125
0
0
07 Mar 2025
Spurious Correlations in Concept Drift: Can Explanatory Interaction
  Help?
Spurious Correlations in Concept Drift: Can Explanatory Interaction Help?
Cristiana Lalletti
Stefano Teso
143
2
0
23 Jul 2024
Neural Active Learning Meets the Partial Monitoring Framework
Neural Active Learning Meets the Partial Monitoring FrameworkConference on Uncertainty in Artificial Intelligence (UAI), 2024
M. Heuillet
Ola Ahmad
Audrey Durand
115
0
0
14 May 2024
CODA: A COst-efficient Test-time Domain Adaptation Mechanism for HAR
CODA: A COst-efficient Test-time Domain Adaptation Mechanism for HAR
Minghui Qiu
Yandao Huang
Lin Chen
Lu Wang
Kaishun Wu
TTA
69
0
0
22 Mar 2024
A Short Survey on Importance Weighting for Machine Learning
A Short Survey on Importance Weighting for Machine Learning
Masanari Kimura
H. Hino
147
10
0
15 Mar 2024
Querying Easily Flip-flopped Samples for Deep Active Learning
Querying Easily Flip-flopped Samples for Deep Active Learning
S. Cho
G. Kim
Junghyun Lee
Jinwoo Shin
Chang D. Yoo
161
8
0
18 Jan 2024
Inconsistency-Based Data-Centric Active Open-Set Annotation
Inconsistency-Based Data-Centric Active Open-Set AnnotationAAAI Conference on Artificial Intelligence (AAAI), 2024
Ruiyu Mao
Ouyang Xu
Yunhui Guo
158
7
0
10 Jan 2024
Fair Active Learning in Low-Data Regimes
Fair Active Learning in Low-Data RegimesConference on Uncertainty in Artificial Intelligence (UAI), 2023
Romain Camilleri
Andrew Wagenmaker
Jamie Morgenstern
Lalit P. Jain
Kevin Jamieson
FaML
110
2
0
13 Dec 2023
A Competitive Algorithm for Agnostic Active Learning
A Competitive Algorithm for Agnostic Active LearningNeural Information Processing Systems (NeurIPS), 2023
Eric Price
Yihan Zhou
154
2
0
28 Oct 2023
Online Decision Mediation
Online Decision MediationNeural Information Processing Systems (NeurIPS), 2023
Daniel Jarrett
Alihan Huyuk
M. Schaar
136
4
0
28 Oct 2023
Ensemble Active Learning by Contextual Bandits for AI Incubation in
  Manufacturing
Ensemble Active Learning by Contextual Bandits for AI Incubation in ManufacturingACM Transactions on Intelligent Systems and Technology (ACM TIST), 2023
Yingyan Zeng
Xiaoyu Chen
Ran Jin
105
7
0
10 Oct 2023
Agnostic Multi-Group Active Learning
Agnostic Multi-Group Active LearningNeural Information Processing Systems (NeurIPS), 2023
Nick Rittler
Kamalika Chaudhuri
109
3
0
02 Jun 2023
Topic-Guided Sampling For Data-Efficient Multi-Domain Stance Detection
Topic-Guided Sampling For Data-Efficient Multi-Domain Stance DetectionAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Erik Arakelyan
Arnav Arora
Isabelle Augenstein
96
15
0
01 Jun 2023
Streaming Active Learning with Deep Neural Networks
Streaming Active Learning with Deep Neural NetworksInternational Conference on Machine Learning (ICML), 2023
Akanksha Saran
Safoora Yousefi
A. Krishnamurthy
John Langford
Jordan T. Ash
175
20
0
05 Mar 2023
Active Learning with Combinatorial Coverage
Active Learning with Combinatorial CoverageInternational Conference on Machine Learning and Applications (ICMLA), 2022
Sai Prathyush Katragadda
Tyler Cody
Peter A. Beling
Laura J. Freeman
100
7
0
28 Feb 2023
Adaptive Selective Sampling for Online Prediction with Experts
Adaptive Selective Sampling for Online Prediction with ExpertsNeural Information Processing Systems (NeurIPS), 2023
R. Castro
Fredrik Hellström
T. Erven
130
2
0
16 Feb 2023
Leveraging Importance Weights in Subset Selection
Leveraging Importance Weights in Subset SelectionInternational Conference on Learning Representations (ICLR), 2023
Gui Citovsky
Giulia DeSalvo
Sanjiv Kumar
Srikumar Ramalingam
Afshin Rostamizadeh
Yunjuan Wang
107
5
0
28 Jan 2023
Off-Policy Evaluation with Out-of-Sample Guarantees
Off-Policy Evaluation with Out-of-Sample Guarantees
Sofia Ek
Dave Zachariah
Fredrik D. Johansson
Petre Stoica
CMLOffRL
176
4
0
20 Jan 2023
Active sampling: A machine-learning-assisted framework for finite
  population inference with optimal subsamples
Active sampling: A machine-learning-assisted framework for finite population inference with optimal subsamples
Henrik Imberg
Xiaomi Yang
Carol Flannagan
Jonas Bärgman
247
11
0
20 Dec 2022
Promises and Pitfalls of Threshold-based Auto-labeling
Promises and Pitfalls of Threshold-based Auto-labelingNeural Information Processing Systems (NeurIPS), 2022
Harit Vishwakarma
Heguang Lin
Frederic Sala
Ramya Korlakai Vinayak
128
11
0
22 Nov 2022
A Two-Stage Active Learning Algorithm for $k$-Nearest Neighbors
A Two-Stage Active Learning Algorithm for kkk-Nearest NeighborsInternational Conference on Machine Learning (ICML), 2022
Nick Rittler
Kamalika Chaudhuri
246
3
0
19 Nov 2022
Active Learning with Neural Networks: Insights from Nonparametric
  Statistics
Active Learning with Neural Networks: Insights from Nonparametric StatisticsNeural Information Processing Systems (NeurIPS), 2022
Yinglun Zhu
Robert D. Nowak
144
11
0
15 Oct 2022
Improved Algorithms for Neural Active Learning
Improved Algorithms for Neural Active LearningNeural Information Processing Systems (NeurIPS), 2022
Yikun Ban
Yuheng Zhang
Hanghang Tong
A. Banerjee
Jingrui He
AI4TS
206
15
0
02 Oct 2022
Active learning algorithm through the lens of rejection arguments
Active learning algorithm through the lens of rejection argumentsMachine-mediated learning (ML), 2022
Christophe Denis
Mohamed Hebiri
Boris Ndjia Njike
Xavier Siebert
111
6
0
31 Aug 2022
A Survey of Learning on Small Data: Generalization, Optimization, and
  Challenge
A Survey of Learning on Small Data: Generalization, Optimization, and Challenge
Xiaofeng Cao
Weixin Bu
Sheng-Jun Huang
Minling Zhang
Ivor W. Tsang
Yew-Soon Ong
James T. Kwok
150
2
0
29 Jul 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
106
3
0
04 Jul 2022
Black-box Generalization of Machine Teaching
Black-box Generalization of Machine Teaching
Xiaofeng Cao
Yaming Guo
Ivor W. Tsang
James T. Kwok
139
0
0
30 Jun 2022
Data-Efficient Learning via Minimizing Hyperspherical Energy
Data-Efficient Learning via Minimizing Hyperspherical EnergyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Xiaofeng Cao
Weiyang Liu
Ivor W. Tsang
127
12
0
30 Jun 2022
Theory-Grounded Measurement of U.S. Social Stereotypes in English
  Language Models
Theory-Grounded Measurement of U.S. Social Stereotypes in English Language ModelsNorth American Chapter of the Association for Computational Linguistics (NAACL), 2022
Yang Trista Cao
Anna Sotnikova
Hal Daumé
Rachel Rudinger
L. Zou
89
56
0
23 Jun 2022
On the reusability of samples in active learning
On the reusability of samples in active learning
Gijs van Tulder
Marco Loog
38
0
0
13 Jun 2022
Improving the quality control of seismic data through active learning
Improving the quality control of seismic data through active learningSocial Science Research Network (SSRN), 2022
Mathieu Chambefort
Raphael Butez
E. Chautru
Nathan Huet
50
2
0
17 Jan 2022
Practical Active Learning with Model Selection for Small Data
Practical Active Learning with Model Selection for Small DataInternational Conference on Machine Learning and Applications (ICMLA), 2021
Maryam Pardakhti
Nila Mandal
A. Ma
Qian Yang
58
6
0
21 Dec 2021
Class-Balanced Active Learning for Image Classification
Class-Balanced Active Learning for Image ClassificationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2021
Javad Zolfaghari Bengar
Joost van de Weijer
Laura Lopez-Fuentes
Bogdan Raducanu
86
26
0
09 Oct 2021
Corruption Robust Active Learning
Corruption Robust Active LearningNeural Information Processing Systems (NeurIPS), 2021
Yifang Chen
S. Du
Kevin Jamieson
103
5
0
21 Jun 2021
Semi-supervised Active Regression
Semi-supervised Active Regression
Fnu Devvrit
Nived Rajaraman
Pranjal Awasthi
149
0
0
12 Jun 2021
Neural Active Learning with Performance Guarantees
Neural Active Learning with Performance GuaranteesNeural Information Processing Systems (NeurIPS), 2021
Pranjal Awasthi
Christoph Dann
Claudio Gentile
Ayush Sekhari
Zhilei Wang
88
23
0
06 Jun 2021
Improved Algorithms for Agnostic Pool-based Active Classification
Improved Algorithms for Agnostic Pool-based Active ClassificationInternational Conference on Machine Learning (ICML), 2021
Julian Katz-Samuels
Jifan Zhang
Lalit P. Jain
Kevin Jamieson
87
23
0
13 May 2021
Distribution Matching for Machine Teaching
Distribution Matching for Machine TeachingIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
Xiaofeng Cao
Ivor W. Tsang
106
5
0
06 May 2021
Off-Policy Risk Assessment in Contextual Bandits
Off-Policy Risk Assessment in Contextual BanditsNeural Information Processing Systems (NeurIPS), 2021
Audrey Huang
Liu Leqi
Zachary Chase Lipton
Kamyar Azizzadenesheli
OffRL
136
41
0
18 Apr 2021
Active Testing: Sample-Efficient Model Evaluation
Active Testing: Sample-Efficient Model EvaluationInternational Conference on Machine Learning (ICML), 2021
Jannik Kossen
Sebastian Farquhar
Y. Gal
Tom Rainforth
VLM
146
69
0
09 Mar 2021
Discrepancy-Based Active Learning for Domain Adaptation
Discrepancy-Based Active Learning for Domain AdaptationInternational Conference on Learning Representations (ICLR), 2021
Antoine de Mathelin
Francois Deheeger
Mathilde Mougeot
Nicolas Vayatis
173
26
0
05 Mar 2021
Feedback Coding for Active Learning
Feedback Coding for Active LearningInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Gregory H. Canal
Matthieu R. Bloch
Christopher Rozell
56
0
0
28 Feb 2021
Exponential Savings in Agnostic Active Learning through Abstention
Exponential Savings in Agnostic Active Learning through AbstentionIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2021
Nikita Puchkin
Nikita Zhivotovskiy
178
22
0
31 Jan 2021
On Statistical Bias In Active Learning: How and When To Fix It
On Statistical Bias In Active Learning: How and When To Fix ItInternational Conference on Learning Representations (ICLR), 2021
Sebastian Farquhar
Y. Gal
Tom Rainforth
TDIHAI
128
91
0
27 Jan 2021
Active Hybrid Classification
Active Hybrid Classification
E. Krivosheev
Fabio Casati
A. Bozzon
39
1
0
21 Jan 2021
Learning in the Wild with Incremental Skeptical Gaussian Processes
Learning in the Wild with Incremental Skeptical Gaussian ProcessesInternational Joint Conference on Artificial Intelligence (IJCAI), 2020
Andrea Bontempelli
Stefano Teso
Fausto Giunchiglia
Andrea Passerini
63
22
0
02 Nov 2020
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