Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
1908.02144
Cited By
v1
v2
v3
v4 (latest)
Bayesian Batch Active Learning as Sparse Subset Approximation
Neural Information Processing Systems (NeurIPS), 2019
6 August 2019
Tian Xie
Jonathan Gordon
Eric T. Nalisnick
José Miguel Hernández-Lobato
UQCV
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Bayesian Batch Active Learning as Sparse Subset Approximation"
50 / 82 papers shown
Adaptive Data Selection for Multi-Layer Perceptron Training: A Sub-linear Value-Driven Method
Xiyang Zhang
Chen Liang
Haoxuan Qiu
Hongzhi Wang
169
0
0
24 Oct 2025
Image augmentation with invertible networks in interactive satellite image change detection
Hichem Sahbi
213
0
0
21 Oct 2025
Label-frugal satellite image change detection with generative virtual exemplar learning
Hichem Sahbi
217
0
0
08 Oct 2025
Enhancing Treatment Effect Estimation via Active Learning: A Counterfactual Covering Perspective
Hechuan Wen
Tong Chen
Mingming Gong
Li Kheng Chai
S. Sadiq
Hongzhi Yin
CML
338
4
0
08 May 2025
Efficient Data Selection for Training Genomic Perturbation Models
G. Panagopoulos
J. Lutzeyer
Sofiane Ennadir
Michalis Vazirgiannis
1.4K
0
0
18 Mar 2025
Progressive Generalization Risk Reduction for Data-Efficient Causal Effect Estimation
Knowledge Discovery and Data Mining (KDD), 2024
Hechuan Wen
Tong Chen
Guanhua Ye
Li Kheng Chai
S. Sadiq
Hongzhi Yin
OOD
388
3
0
18 Nov 2024
STONE: A Submodular Optimization Framework for Active 3D Object Detection
Neural Information Processing Systems (NeurIPS), 2024
Ruiyu Mao
Sarthak Kumar Maharana
Rishabh K Iyer
Yunhui Guo
3DPC
291
3
0
04 Oct 2024
A3: Active Adversarial Alignment for Source-Free Domain Adaptation
International Conference on Machine Learning and Applications (ICMLA), 2024
Chrisantus Eze
Christopher Crick
413
1
0
27 Sep 2024
A Scalable Algorithm for Active Learning
International Conference for High Performance Computing, Networking, Storage and Analysis (SC), 2024
Youguang Chen
Zheyu Wen
George Biros
130
0
0
11 Sep 2024
Batch Active Learning in Gaussian Process Regression using Derivatives
Hon Sum Alec Yu
Christoph Zimmer
D. Nguyen-Tuong
GP
252
2
0
03 Aug 2024
Active Learning for Neural PDE Solvers
International Conference on Learning Representations (ICLR), 2024
Daniel Musekamp
Marimuthu Kalimuthu
David Holzmüller
Makoto Takamoto
Carlos Fernandez
AI4CE
564
20
0
02 Aug 2024
Making Better Use of Unlabelled Data in Bayesian Active Learning
Freddie Bickford-Smith
Adam Foster
Tom Rainforth
347
10
0
26 Apr 2024
AnchorAL: Computationally Efficient Active Learning for Large and Imbalanced Datasets
Pietro Lesci
Andreas Vlachos
373
8
0
08 Apr 2024
Querying Easily Flip-flopped Samples for Deep Active Learning
S. Cho
G. Kim
Junghyun Lee
Jinwoo Shin
Chang D. Yoo
313
8
0
18 Jan 2024
Reinforcement-based Display-size Selection for Frugal Satellite Image Change Detection
H. Sahbi
188
0
0
28 Dec 2023
Bayesian Estimate of Mean Proper Scores for Diversity-Enhanced Active Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Wei Tan
Lan Du
Wray Buntine
270
13
0
15 Dec 2023
One-bit Supervision for Image Classification: Problem, Solution, and Beyond
Hengtong Hu
Lingxi Xie
Xinyue Huo
Richang Hong
Qi Tian
SSL
200
2
0
26 Nov 2023
Towards Open World Active Learning for 3D Object Detection
Zhuoxiao Chen
Yadan Luo
Zixin Wang
Zijian Wang
Xin Yu
Zi Huang
267
1
0
16 Oct 2023
Data-centric Graph Learning: A Survey
IEEE Transactions on Big Data (IEEE Trans. Big Data), 2023
Jixi Liu
Deyu Bo
Cheng Yang
Haoran Dai
Qi Zhang
Yixin Xiao
Yufei Peng
Chuan Shi
GNN
407
35
0
08 Oct 2023
Frugal Satellite Image Change Detection with Deep-Net Inversion
H. Sahbi
Sebastien Deschamps
302
0
0
26 Sep 2023
Learning Objective-Specific Active Learning Strategies with Attentive Neural Processes
Tim Bakker
H. V. Hoof
Max Welling
261
2
0
11 Sep 2023
PCDAL: A Perturbation Consistency-Driven Active Learning Approach for Medical Image Segmentation and Classification
Tao Wang
Xinlin Zhang
Yuanbo Zhou
Junlin Lan
Longxuan Zhao
Min Du
Qinquan Gao
Tong Tong
160
5
0
29 Jun 2023
AdaSelection: Accelerating Deep Learning Training through Data Subsampling
Minghe Zhang
Chaosheng Dong
Jinmiao Fu
Tianchen Zhou
Jia Liang
...
Bo Liu
Michinari Momma
Bryan Wang
Yan Gao
Yi Sun
221
3
0
19 Jun 2023
Adaptive Batch Sizes for Active Learning A Probabilistic Numerics Approach
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Masaki Adachi
Satoshi Hayakawa
Martin Jørgensen
Xingchen Wan
Vu Nguyen
Harald Oberhauser
Michael A. Osborne
342
6
0
09 Jun 2023
Active Vision Reinforcement Learning under Limited Visual Observability
Neural Information Processing Systems (NeurIPS), 2023
Jinghuan Shang
Michael S. Ryoo
361
0
0
01 Jun 2023
Accelerating Batch Active Learning Using Continual Learning Techniques
Arnav M. Das
Gantavya Bhatt
M. Bhalerao
Vianne R. Gao
Rui Yang
J. Bilmes
VLM
CLL
242
13
0
10 May 2023
Prediction-Oriented Bayesian Active Learning
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Freddie Bickford-Smith
Andreas Kirsch
Sebastian Farquhar
Y. Gal
Adam Foster
Tom Rainforth
269
61
0
17 Apr 2023
Modern Bayesian Experimental Design
Statistical Science (Statist. Sci.), 2023
Tom Rainforth
Adam Foster
Desi R. Ivanova
Freddie Bickford-Smith
352
172
0
28 Feb 2023
Agile Modeling: From Concept to Classifier in Minutes
IEEE International Conference on Computer Vision (ICCV), 2023
Otilia Stretcu
Edward Vendrow
Kenji Hata
Krishnamurthy Viswanathan
V. Ferrari
...
Chun-Ta Lu
Javier A Rey
Giulia DeSalvo
Ranjay Krishna
Ariel Fuxman
HAI
301
19
0
25 Feb 2023
Black-Box Batch Active Learning for Regression
Andreas Kirsch
304
14
0
17 Feb 2023
Deep Anomaly Detection under Labeling Budget Constraints
International Conference on Machine Learning (ICML), 2023
Aodong Li
Chen Qiu
Matthias Kirchler
Padhraic Smyth
Stephan Mandt
Maja R. Rudolph
266
18
0
15 Feb 2023
Navigating the Pitfalls of Active Learning Evaluation: A Systematic Framework for Meaningful Performance Assessment
Neural Information Processing Systems (NeurIPS), 2023
Carsten T. Lüth
Till J. Bungert
Lukas Klein
Paul F. Jaeger
398
23
0
25 Jan 2023
Exploring Active 3D Object Detection from a Generalization Perspective
International Conference on Learning Representations (ICLR), 2023
Yadan Luo
Zhuoxiao Chen
Zijian Wang
Xin Yu
Zi Huang
Mahsa Baktash
3DPC
262
35
0
23 Jan 2023
Adversarial Virtual Exemplar Learning for Label-Frugal Satellite Image Change Detection
H. Sahbi
Sebastien Deschamps
156
0
0
28 Dec 2022
Frugal Reinforcement-based Active Learning
Sebastien Deschamps
H. Sahbi
297
0
0
09 Dec 2022
Black-box Coreset Variational Inference
Neural Information Processing Systems (NeurIPS), 2022
Dionysis Manousakas
H. Ritter
Theofanis Karaletsos
BDL
263
4
0
04 Nov 2022
Batch Active Learning from the Perspective of Sparse Approximation
Maohao Shen
Bowen Jiang
Jacky Y. Zhang
Oluwasanmi Koyejo
233
3
0
01 Nov 2022
Active Learning for Regression with Aggregated Outputs
Tomoharu Iwata
UQCV
188
0
0
04 Oct 2022
Data Lifecycle Management in Evolving Input Distributions for Learning-based Aerospace Applications
IEEE Aerospace Conference (AERO), 2022
Somrita Banerjee
Apoorva Sharma
Edward Schmerling
M. Spolaor
Michael Nemerouf
Marco Pavone
269
3
0
14 Sep 2022
Bayesian approaches for Quantifying Clinicians' Variability in Medical Image Quantification
Jaeik Jeon
Yeonggul Jang
Youngtaek Hong
H. Shim
Sekeun Kim
185
1
0
05 Jul 2022
Black-box Generalization of Machine Teaching
Xiaofeng Cao
Yaming Guo
Ivor W. Tsang
James T. Kwok
269
0
0
30 Jun 2022
Using Sum-Product Networks to Assess Uncertainty in Deep Active Learning
Mohamad Khosravani
Sandra Zilles
UQCV
194
0
0
20 Jun 2022
Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination
Neural Information Processing Systems (NeurIPS), 2022
Masaki Adachi
Satoshi Hayakawa
Martin Jørgensen
Harald Oberhauser
Michael A. Osborne
365
25
0
09 Jun 2022
PyRelationAL: a python library for active learning research and development
P. Scherer
Thomas Gaudelet
Alison Pouplin
Alice Del Vecchio
S. SurajM
Oliver Bolton
Jyothish Soman
J. Taylor-King
Lindsay Edwards
KELM
237
0
0
23 May 2022
A Comparative Survey of Deep Active Learning
Xueying Zhan
Qingzhong Wang
Kuan-Hao Huang
Haoyi Xiong
Dejing Dou
Antoni B. Chan
FedML
HAI
573
128
0
25 Mar 2022
A Framework and Benchmark for Deep Batch Active Learning for Regression
Journal of machine learning research (JMLR), 2022
David Holzmüller
Viktor Zaverkin
Johannes Kastner
Ingo Steinwart
UQCV
BDL
GP
526
54
0
17 Mar 2022
Feeding What You Need by Understanding What You Learned
Annual Meeting of the Association for Computational Linguistics (ACL), 2022
Xiaoqiang Wang
Bang Liu
Fangli Xu
Bowei Long
Siliang Tang
Lingfei Wu
218
6
0
05 Mar 2022
Active metric learning and classification using similarity queries
Conference on Uncertainty in Artificial Intelligence (UAI), 2022
Namrata Nadagouda
Austin Xu
Mark A. Davenport
196
8
0
04 Feb 2022
Mixtures of Laplace Approximations for Improved Post-Hoc Uncertainty in Deep Learning
Runa Eschenhagen
Erik A. Daxberger
Philipp Hennig
Agustinus Kristiadi
UQCV
BDL
214
28
0
05 Nov 2021
Diversity Enhanced Active Learning with Strictly Proper Scoring Rules
Wei Tan
Lan Du
Wray Buntine
166
37
0
27 Oct 2021
1
2
Next
Page 1 of 2