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Stochastic Batch Acquisition: A Simple Baseline for Deep Active Learning
v1v2v3 (latest)

Stochastic Batch Acquisition: A Simple Baseline for Deep Active Learning

22 June 2021
Andreas Kirsch
Sebastian Farquhar
Parmida Atighehchian
Andrew Jesson
Frederic Branchaud-Charron
Y. Gal
ArXiv (abs)PDFHTML

Papers citing "Stochastic Batch Acquisition: A Simple Baseline for Deep Active Learning"

23 / 23 papers shown
Active Learning with Selective Time-Step Acquisition for PDEs
Active Learning with Selective Time-Step Acquisition for PDEsInternational Conference on Machine Learning (ICML), 2025
Yegon Kim
Hyunsu Kim
Gyeonghoon Ko
Juho Lee
AI4CE
189
2
0
22 Nov 2025
Active Learning with Task-Driven Representations for Messy Pools
Active Learning with Task-Driven Representations for Messy Pools
Kianoosh Ashouritaklimi
Tom Rainforth
SSLCLL
485
0
0
29 Oct 2025
Diffusion-Driven Two-Stage Active Learning for Low-Budget Semantic Segmentation
Diffusion-Driven Two-Stage Active Learning for Low-Budget Semantic Segmentation
Jeongin Kim
Wonho Bae
YouLee Han
Giyeong Oh
Youngjae Yu
Danica J. Sutherland
Junhyug Noh
DiffM
188
0
0
25 Oct 2025
Myopic Bayesian Decision Theory for Batch Active Learning with Partial Batch Label Sampling
Myopic Bayesian Decision Theory for Batch Active Learning with Partial Batch Label Sampling
Kangping Hu
Stephen Mussmann
146
0
0
10 Oct 2025
ActiveCQ: Active Estimation of Causal Quantities
ActiveCQ: Active Estimation of Causal Quantities
Erdun Gao
Dino Sejdinovic
120
1
0
29 Sep 2025
Causal-EPIG: A Prediction-Oriented Active Learning Framework for CATE Estimation
Causal-EPIG: A Prediction-Oriented Active Learning Framework for CATE Estimation
Erdun Gao
Jake Fawkes
Dino Sejdinovic
CMLOOD
270
3
0
26 Sep 2025
Towards Open-Ended Discovery for Low-Resource NLP
Towards Open-Ended Discovery for Low-Resource NLP
Bonaventure F. P. Dossou
Henri Aïdasso
164
0
0
22 Sep 2025
Enhancing Treatment Effect Estimation via Active Learning: A Counterfactual Covering Perspective
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
350
4
0
08 May 2025
Learning Set Functions with Implicit Differentiation
Learning Set Functions with Implicit DifferentiationAAAI Conference on Artificial Intelligence (AAAI), 2024
Gözde Özcan
Chengzhi Shi
Stratis Ioannidis
345
0
0
15 Dec 2024
Progressive Generalization Risk Reduction for Data-Efficient Causal Effect EstimationKnowledge Discovery and Data Mining (KDD), 2024
Hechuan Wen
Tong Chen
Guanhua Ye
Li Kheng Chai
S. Sadiq
Hongzhi Yin
OOD
436
3
0
18 Nov 2024
Active Learning to Guide Labeling Efforts for Question Difficulty
  Estimation
Active Learning to Guide Labeling Efforts for Question Difficulty Estimation
Arthur Thuy
Ekaterina Loginova
Dries F. Benoit
249
2
0
14 Sep 2024
MALADY: Multiclass Active Learning with Auction Dynamics on Graphs
MALADY: Multiclass Active Learning with Auction Dynamics on GraphsIEEE Transactions on Artificial Intelligence (IEEE TAI), 2024
Gokul Bhusal
Kevin Miller
Ekaterina Merkurjev
457
1
0
14 Sep 2024
Active Learning for Neural PDE Solvers
Active Learning for Neural PDE SolversInternational Conference on Learning Representations (ICLR), 2024
Daniel Musekamp
Marimuthu Kalimuthu
David Holzmüller
Makoto Takamoto
Carlos Fernandez
AI4CE
569
21
0
02 Aug 2024
Deep Bayesian Active Learning for Preference Modeling in Large Language
  Models
Deep Bayesian Active Learning for Preference Modeling in Large Language ModelsNeural Information Processing Systems (NeurIPS), 2024
Luckeciano C. Melo
P. Tigas
Alessandro Abate
Yarin Gal
272
19
0
14 Jun 2024
Making Better Use of Unlabelled Data in Bayesian Active Learning
Making Better Use of Unlabelled Data in Bayesian Active Learning
Freddie Bickford-Smith
Adam Foster
Tom Rainforth
407
10
0
26 Apr 2024
Information-Theoretic Active Correlation Clustering
Information-Theoretic Active Correlation Clustering
Linus Aronsson
M. Chehreghani
370
1
0
05 Feb 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
327
8
0
18 Jan 2024
Multi-Fidelity Active Learning with GFlowNets
Multi-Fidelity Active Learning with GFlowNets
Alex Hernandez-Garcia
Nikita Saxena
Moksh Jain
Cheng-Hao Liu
Yoshua Bengio
AI4CE
259
18
0
20 Jun 2023
Black-Box Batch Active Learning for Regression
Black-Box Batch Active Learning for Regression
Andreas Kirsch
314
14
0
17 Feb 2023
Speeding Up BatchBALD: A k-BALD Family of Approximations for Active
  Learning
Speeding Up BatchBALD: A k-BALD Family of Approximations for Active Learning
Andreas Kirsch
BDL
144
3
0
23 Jan 2023
Unifying Approaches in Active Learning and Active Sampling via Fisher
  Information and Information-Theoretic Quantities
Unifying Approaches in Active Learning and Active Sampling via Fisher Information and Information-Theoretic Quantities
Andreas Kirsch
Y. Gal
FedML
299
30
0
01 Aug 2022
Depth Uncertainty Networks for Active Learning
Depth Uncertainty Networks for Active Learning
Chelsea Murray
J. Allingham
Javier Antorán
José Miguel Hernández-Lobato
UQCVAI4CE
291
2
0
13 Dec 2021
Causal-BALD: Deep Bayesian Active Learning of Outcomes to Infer
  Treatment-Effects from Observational Data
Causal-BALD: Deep Bayesian Active Learning of Outcomes to Infer Treatment-Effects from Observational DataNeural Information Processing Systems (NeurIPS), 2021
Andrew Jesson
P. Tigas
Joost R. van Amersfoort
Andreas Kirsch
Uri Shalit
Y. Gal
CML
374
39
0
03 Nov 2021
1
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