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Bayesian Batch Active Learning as Sparse Subset Approximation

6 August 2019

Robert Pinsler

Jonathan Gordon

Eric T. Nalisnick

José Miguel Hernández-Lobato

UQCV

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Papers citing "Bayesian Batch Active Learning as Sparse Subset Approximation"

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Title
Data Filtering for Genetic Perturbation Prediction G. Panagopoulos J. Lutzeyer Sofiane Ennadir Michalis Vazirgiannis Jun Pang 502 0 0 01 Jul 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 86 0 0 08 May 2025
Progressive Generalization Risk Reduction for Data-Efficient Causal Effect Estimation Hechuan Wen Tong Chen Guanhua Ye Li Kheng Chai S. Sadiq Hongzhi Yin OOD 107 1 0 18 Nov 2024
STONE: A Submodular Optimization Framework for Active 3D Object Detection Ruiyu Mao Sarthak Kumar Maharana Rishabh K Iyer Yunhui Guo 3DPC 59 1 0 04 Oct 2024
A3: Active Adversarial Alignment for Source-Free Domain Adaptation Chrisantus Eze Christopher Crick 71 0 0 27 Sep 2024
A Scalable Algorithm for Active Learning Youguang Chen Zheyu Wen George Biros 39 0 0 11 Sep 2024
Batch Active Learning in Gaussian Process Regression using Derivatives Hon Sum Alec Yu Christoph Zimmer D. Nguyen-Tuong GP 67 1 0 03 Aug 2024
Active Learning for Neural PDE Solvers Daniel Musekamp Marimuthu Kalimuthu David Holzmüller Makoto Takamoto Carlos Fernandez AI4CE 152 8 0 02 Aug 2024
Making Better Use of Unlabelled Data in Bayesian Active Learning Freddie Bickford-Smith Adam Foster Tom Rainforth 110 4 0 26 Apr 2024
AnchorAL: Computationally Efficient Active Learning for Large and Imbalanced Datasets Pietro Lesci Andreas Vlachos 143 4 0 08 Apr 2024
Querying Easily Flip-flopped Samples for Deep Active Learning S. Cho G. Kim Junghyun Lee Jinwoo Shin Chang D. Yoo 96 6 0 18 Jan 2024
Reinforcement-based Display-size Selection for Frugal Satellite Image Change Detection H. Sahbi 81 0 0 28 Dec 2023
Bayesian Estimate of Mean Proper Scores for Diversity-Enhanced Active Learning Wei Tan Lan Du Wray Buntine 87 7 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 69 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 68 0 0 16 Oct 2023
Data-centric Graph Learning: A Survey Jixi Liu Deyu Bo Cheng Yang Haoran Dai Qi Zhang Yixin Xiao Yufei Peng Chuan Shi GNN 96 21 0 08 Oct 2023
Frugal Satellite Image Change Detection with Deep-Net Inversion H. Sahbi Sebastien Deschamps 86 0 0 26 Sep 2023
Learning Objective-Specific Active Learning Strategies with Attentive Neural Processes Tim Bakker H. V. Hoof Max Welling 75 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 T. Tan Min Du Qinquan Gao Tong Tong 54 0 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 79 3 0 19 Jun 2023
Adaptive Batch Sizes for Active Learning A Probabilistic Numerics Approach Masaki Adachi Satoshi Hayakawa Martin Jørgensen Xingchen Wan Vu Nguyen Harald Oberhauser Michael A. Osborne 115 5 0 09 Jun 2023
Active Vision Reinforcement Learning under Limited Visual Observability Jinghuan Shang Michael S. Ryoo 88 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 68 10 0 10 May 2023
Prediction-Oriented Bayesian Active Learning Freddie Bickford-Smith Andreas Kirsch Sebastian Farquhar Y. Gal Adam Foster Tom Rainforth 87 36 0 17 Apr 2023
Modern Bayesian Experimental Design Tom Rainforth Adam Foster Desi R. Ivanova Freddie Bickford-Smith 119 88 0 28 Feb 2023
Agile Modeling: From Concept to Classifier in Minutes Otilia Stretcu Edward Vendrow Kenji Hata Krishnamurthy Viswanathan V. Ferrari ... Chun-Ta Lu Javier A Rey Giulia DeSalvo Ranjay Krishna Ariel Fuxman HAI 73 15 0 25 Feb 2023
Black-Box Batch Active Learning for Regression Andreas Kirsch 64 9 0 17 Feb 2023
Deep Anomaly Detection under Labeling Budget Constraints Aodong Li Chen Qiu Marius Kloft Padhraic Smyth Stephan Mandt Maja R. Rudolph 87 15 0 15 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 92 10 0 25 Jan 2023
Exploring Active 3D Object Detection from a Generalization Perspective Yadan Luo Zhuoxiao Chen Zijian Wang Xin Yu Zi Huang Mahsa Baktash 3DPC 89 29 0 23 Jan 2023
Adversarial Virtual Exemplar Learning for Label-Frugal Satellite Image Change Detection H. Sahbi Sebastien Deschamps 50 0 0 28 Dec 2022
Frugal Reinforcement-based Active Learning Sebastien Deschamps H. Sahbi 62 0 0 09 Dec 2022
Black-box Coreset Variational Inference Dionysis Manousakas H. Ritter Theofanis Karaletsos BDL 56 4 0 04 Nov 2022
Batch Active Learning from the Perspective of Sparse Approximation Maohao Shen Bowen Jiang Jacky Y. Zhang Oluwasanmi Koyejo 39 2 0 01 Nov 2022
Active Learning for Regression with Aggregated Outputs Tomoharu Iwata UQCV 51 0 0 04 Oct 2022
Data Lifecycle Management in Evolving Input Distributions for Learning-based Aerospace Applications Somrita Banerjee Apoorva Sharma Edward Schmerling M. Spolaor Michael Nemerouf Marco Pavone 69 2 0 14 Sep 2022
Bayesian approaches for Quantifying Clinicians' Variability in Medical Image Quantification Jaeik Jeon Yeonggul Jang Youngtaek Hong H. Shim Sekeun Kim 34 1 0 05 Jul 2022
Black-box Generalization of Machine Teaching Xiaofeng Cao Yaming Guo Ivor W. Tsang James T. Kwok 86 0 0 30 Jun 2022
Using Sum-Product Networks to Assess Uncertainty in Deep Active Learning Mohamad Khosravani Sandra Zilles UQCV 16 0 0 20 Jun 2022
Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination Masaki Adachi Satoshi Hayakawa Martin Jørgensen Harald Oberhauser Michael A. Osborne 73 20 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 49 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 131 112 0 25 Mar 2022
A Framework and Benchmark for Deep Batch Active Learning for Regression David Holzmüller Viktor Zaverkin Johannes Kastner Ingo Steinwart UQCV BDL GP 106 37 0 17 Mar 2022
Feeding What You Need by Understanding What You Learned Xiaoqiang Wang Bang Liu Fangli Xu Bowei Long Siliang Tang Lingfei Wu 81 6 0 05 Mar 2022
Active metric learning and classification using similarity queries Namrata Nadagouda Austin Xu Mark A. Davenport 29 6 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 73 23 0 05 Nov 2021
Diversity Enhanced Active Learning with Strictly Proper Scoring Rules Wei Tan Lan Du Wray Buntine 66 32 0 27 Oct 2021
Active Learning for Deep Visual Tracking Di Yuan Xiaojun Chang Yi Yang Qiao Liu Dehua Wang Zhenyu He 91 92 0 17 Oct 2021
Marginally calibrated response distributions for end-to-end learning in autonomous driving Clara Hoffmann Nadja Klein 82 2 0 03 Oct 2021
Stochastic Batch Acquisition: A Simple Baseline for Deep Active Learning Andreas Kirsch Sebastian Farquhar Parmida Atighehchian Andrew Jesson Frederic Branchaud-Charron Y. Gal 97 20 0 22 Jun 2021