BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning

19 June 2019

Andreas Kirsch

Joost R. van Amersfoort

Y. Gal

FedML

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Papers citing "BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning"

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Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Yun Qu Wenjie Wang Yixiu Mao Yiqin Lv Xiangyang Ji TTA 93 0 0 27 Apr 2025
Parsimonious Dataset Construction for Laparoscopic Cholecystectomy Structure Segmentation Yuning Zhou H. Badgery Matthew Read James Bailey Catherine E. Davey 35 0 0 17 Apr 2025
Efficient Data Selection for Training Genomic Perturbation Models G. Panagopoulos J. Lutzeyer Sofiane Ennadir Michalis Vazirgiannis Jun Pang 264 0 0 18 Mar 2025
Towards Comparable Active Learning Thorben Werner Johannes Burchert Lars Schmidt-Thieme 81 0 0 24 Feb 2025
Beyond Uncertainty: Risk-Aware Active View Acquisition for Safe Robot Navigation and 3D Scene Understanding with FisherRF Guangyi Liu Wen Jiang Boshu Lei Vivek Pandey Kostas Daniilidis N. Motee 51 8 0 20 Jan 2025
Bridging Diversity and Uncertainty in Active learning with Self-Supervised Pre-Training Paul Doucet Benjamin Estermann Till Aczél Roger Wattenhofer 160 4 0 20 Jan 2025
Uncertainty Herding: One Active Learning Method for All Label Budgets Wonho Bae Gabriel L. Oliveira Danica J. Sutherland UQCV 247 0 0 30 Dec 2024
Adaptive teachers for amortized samplers Minsu Kim Sanghyeok Choi Taeyoung Yun Emmanuel Bengio Leo Feng Jarrid Rector-Brooks Sungsoo Ahn Jinkyoo Park Nikolay Malkin Yoshua Bengio 272 4 0 02 Oct 2024
MALADY: Multiclass Active Learning with Auction Dynamics on Graphs Gokul Bhusal Kevin Miller Ekaterina Merkurjev 43 1 0 14 Sep 2024
Batch Active Learning in Gaussian Process Regression using Derivatives Hon Sum Alec Yu Christoph Zimmer D. Nguyen-Tuong GP 31 1 0 03 Aug 2024
A look under the hood of the Interactive Deep Learning Enterprise (No-IDLE) Daniel Sonntag Michael Barz Thiago S. Gouvêa VLM 54 4 0 27 Jun 2024
TSynD: Targeted Synthetic Data Generation for Enhanced Medical Image Classification Joshua Niemeijer J. Ehrhardt H. Uzunova Heinz Handels OOD DiffM MedIm 41 0 0 25 Jun 2024
Shedding Light on Large Generative Networks: Estimating Epistemic Uncertainty in Diffusion Models Lucas Berry Axel Brando David Meger 37 6 0 05 Jun 2024
SAVA: Scalable Learning-Agnostic Data Valuation Samuel Kessler Tam Le Vu Nguyen TDI 71 0 0 03 Jun 2024
Effective Data Selection for Seismic Interpretation through Disagreement Ryan Benkert Mohit Prabhushankar Ghassan AlRegib 45 2 0 01 Jun 2024
GIST: Greedy Independent Set Thresholding for Diverse Data Summarization Matthew Fahrbach Srikumar Ramalingam Morteza Zadimoghaddam Sara Ahmadian Gui Citovsky Giulia DeSalvo 66 1 0 29 May 2024
Edge-guided and Class-balanced Active Learning for Semantic Segmentation of Aerial Images Lianlei Shan Weiqiang Wang Ke Lv Bin Luo VLM 30 1 0 28 May 2024
A Unified Approach Towards Active Learning and Out-of-Distribution Detection Sebastian Schmidt Leonard Schenk Leo Schwinn Stephan Günnemann 63 3 0 18 May 2024
Future Aware Safe Active Learning of Time Varying Systems using Gaussian Processes Markus Lange-Hegermann Christoph Zimmer AI4TS 49 0 0 17 May 2024
Active Preference Learning for Ordering Items In- and Out-of-sample Herman Bergström Emil Carlsson Devdatt Dubhashi Fredrik D. Johansson 52 0 0 05 May 2024
Combining X-Vectors and Bayesian Batch Active Learning: Two-Stage Active Learning Pipeline for Speech Recognition O. Kundacina V. Vincan D. Mišković BDL 104 0 0 03 May 2024
Uncertainty for Active Learning on Graphs Dominik Fuchsgruber Tom Wollschlager Bertrand Charpentier Antonio Oroz Stephan Günnemann 51 10 0 02 May 2024
AnchorAL: Computationally Efficient Active Learning for Large and Imbalanced Datasets Pietro Lesci Andreas Vlachos 40 2 0 08 Apr 2024
Deep Active Learning: A Reality Check Edrina Gashi Jiankang Deng Ismail Elezi HAI 44 1 0 21 Mar 2024
Active Few-Shot Fine-Tuning Jonas Hübotter Bhavya Sukhija Lenart Treven Yarden As Andreas Krause 48 1 0 13 Feb 2024
Semi-supervised Active Learning for Video Action Detection Aayush Singh A. J. Rana Akash Kumar Shruti Vyas Yogesh S Rawat 41 7 0 12 Dec 2023
Better, Not Just More: Data-Centric Machine Learning for Earth Observation R. Roscher M. Rußwurm Caroline Gevaert Michael C. Kampffmeyer J. A. dos Santos ... Ronny Hansch Stine Hansen Keiller Nogueira Jonathan Prexl D. Tuia 39 10 0 08 Dec 2023
REDUCR: Robust Data Downsampling Using Class Priority Reweighting William Bankes George Hughes Ilija Bogunovic Zi Wang 38 3 0 01 Dec 2023
FisherRF: Active View Selection and Uncertainty Quantification for Radiance Fields using Fisher Information Wen Jiang Boshu Lei Kostas Daniilidis 3DGS 31 32 0 29 Nov 2023
FOCAL: A Cost-Aware Video Dataset for Active Learning Kiran Kokilepersaud Yash-yee Logan Ryan Benkert Chen Zhou Mohit Prabhushankar Ghassan AlRegib Enrique Corona Kunjan Singh Mostafa Parchami 34 4 0 17 Nov 2023
Correlation-aware active learning for surgery video segmentation Fei Wu Pablo Márquez-Neila Mingyi Zheng Hedyeh Rafii-Tari Raphael Sznitman 43 3 0 15 Nov 2023
Pareto Optimization to Accelerate Multi-Objective Virtual Screening Jenna C. Fromer David E. Graff Connor W. Coley 33 7 0 16 Oct 2023
Anchor Points: Benchmarking Models with Much Fewer Examples Rajan Vivek Kawin Ethayarajh Diyi Yang Douwe Kiela ALM 34 22 0 14 Sep 2023
Maturity-Aware Active Learning for Semantic Segmentation with Hierarchically-Adaptive Sample Assessment Amirsaeed Yazdani Xuelu Li V. Monga EDL 43 0 0 28 Aug 2023
Exploiting Counter-Examples for Active Learning with Partial labels Fei Zhang Yunjie Ye Lei Feng Zhongwen Rao Jieming Zhu Marcus Kalander Chen Gong Jianye Hao Bo Han 33 0 0 14 Jul 2023
GIO: Gradient Information Optimization for Training Dataset Selection Dante Everaert Christopher Potts 28 4 0 20 Jun 2023
Training-Free Neural Active Learning with Initialization-Robustness Guarantees Apivich Hemachandra Zhongxiang Dai Jasraj Singh See-Kiong Ng K. H. Low AAML 49 6 0 07 Jun 2023
On the Limitations of Simulating Active Learning Katerina Margatina Nikolaos Aletras 36 11 0 21 May 2023
Prediction-Oriented Bayesian Active Learning Freddie Bickford-Smith Andreas Kirsch Sebastian Farquhar Y. Gal Adam Foster Tom Rainforth 44 29 0 17 Apr 2023
Uncertainty estimation in Deep Learning for Panoptic segmentation Michael J. Smith F. Ferrie OOD UQCV 40 0 0 04 Apr 2023
MuRAL: Multi-Scale Region-based Active Learning for Object Detection Yi-Syuan Liou Tsung-Han Wu Jia-Fong Yeh Wen-Chin Chen Winston H. Hsu ObjD 24 0 0 29 Mar 2023
Modern Bayesian Experimental Design Tom Rainforth Adam Foster Desi R. Ivanova Freddie Bickford-Smith 39 78 0 28 Feb 2023
Evaluating the effect of data augmentation and BALD heuristics on distillation of Semantic-KITTI dataset Ngoc Phuong Anh Duong Alexandre Almin Léo Lemarié B. R. Kiran 27 0 0 21 Feb 2023
Gaussian Switch Sampling: A Second Order Approach to Active Learning Ryan Benkert Mohit Prabhushankar Ghassan Al-Regib Armin Pacharmi E. Corona AAML 38 9 0 16 Feb 2023
Navigating the Pitfalls of Active Learning Evaluation: A Systematic Framework for Meaningful Performance Assessment Carsten T. Lüth Till J. Bungert Lukas Klein Paul F. Jaeger 21 10 0 25 Jan 2023
Cross-lingual German Biomedical Information Extraction: from Zero-shot to Human-in-the-Loop Siting Liang Mareike Hartmann Daniel Sonntag 23 3 0 24 Jan 2023
Speeding Up BatchBALD: A k-BALD Family of Approximations for Active Learning Andreas Kirsch BDL 37 2 0 23 Jan 2023
Exploring Active 3D Object Detection from a Generalization Perspective Yadan Luo Zhuoxiao Chen Zijian Wang Xin Yu Zi Huang Mahsa Baktash 3DPC 39 27 0 23 Jan 2023
Deep Active Learning Using Barlow Twins J. Mandivarapu Blake Camp Rolando Estrada SSL 27 0 0 30 Dec 2022
Frugal Reinforcement-based Active Learning Sebastien Deschamps H. Sahbi 18 0 0 09 Dec 2022