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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Deep Active Learning for Computer Vision: Past and Future Rinyoichi Takezoe Xu Liu Shunan Mao Marco Tianyu Chen Zhanpeng Feng Shiliang Zhang Xiaoyu Wang VLM 43 19 0 27 Nov 2022
An Efficient Active Learning Pipeline for Legal Text Classification Sepideh Mamooler R. Lebret Stéphane Massonnet Karl Aberer AILaw 27 4 0 15 Nov 2022
Radically Lower Data-Labeling Costs for Visually Rich Document Extraction Models Yichao Zhou James Bradley Wendt Navneet Potti Jing Xie Sandeep Tata VLM 32 1 0 28 Oct 2022
Learning General World Models in a Handful of Reward-Free Deployments Yingchen Xu Jack Parker-Holder Aldo Pacchiano Philip J. Ball Oleh Rybkin Stephen J. Roberts Tim Rocktaschel Edward Grefenstette OffRL 62 9 0 23 Oct 2022
Batch Multi-Fidelity Active Learning with Budget Constraints Shibo Li J. M. Phillips Xin Yu Robert M. Kirby Shandian Zhe 101 15 0 23 Oct 2022
Targeted active learning for probabilistic models Christopher Tosh Mauricio Tec Wesley Tansey 34 2 0 21 Oct 2022
Uncertainty in Extreme Multi-label Classification Jyun-Yu Jiang Wei-Cheng Chang Jiong Zhong Cho-Jui Hsieh Hsiang-Fu Yu UQCV 21 0 0 18 Oct 2022
Computer-Aided Multi-Objective Optimization in Small Molecule Discovery Jenna C. Fromer Connor W. Coley 42 67 0 13 Oct 2022
Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-set Active Learning Dongmin Park Yooju Shin Jihwan Bang Youngjune Lee Hwanjun Song Jae-Gil Lee 62 25 0 13 Oct 2022
Efficient Bayesian Updates for Deep Learning via Laplace Approximations Denis Huseljic M. Herde Lukas Rauch Paul Hahn Zhixin Huang D. Kottke S. Vogt Bernhard Sick BDL 23 0 0 12 Oct 2022
To Softmax, or not to Softmax: that is the question when applying Active Learning for Transformer Models Julius Gonsior C. Falkenberg Silvio Magino Anja Reusch Maik Thiele Wolfgang Lehner UQCV 41 7 0 06 Oct 2022
DIAGNOSE: Avoiding Out-of-distribution Data using Submodular Information Measures Suraj Kothawade Akshit Shrivastava V. Iyer Ganesh Ramakrishnan Rishabh K. Iyer 30 1 0 04 Oct 2022
Active Learning for Regression with Aggregated Outputs Tomoharu Iwata UQCV 23 0 0 04 Oct 2022
Designing Biological Sequences via Meta-Reinforcement Learning and Bayesian Optimization Leo Feng Padideh Nouri Aneri Muni Yoshua Bengio Pierre-Luc Bacon 116 4 0 13 Sep 2022
Efficient Methods for Natural Language Processing: A Survey Marcos Vinícius Treviso Ji-Ung Lee Tianchu Ji Betty van Aken Qingqing Cao ... Emma Strubell Niranjan Balasubramanian Leon Derczynski Iryna Gurevych Roy Schwartz 45 109 0 31 Aug 2022
Bucketized Active Sampling for Learning ACOPF Michael Klamkin Mathieu Tanneau Terrence W.K. Mak Pascal Van Hentenryck 21 2 0 16 Aug 2022
Unifying Approaches in Active Learning and Active Sampling via Fisher Information and Information-Theoretic Quantities Andreas Kirsch Y. Gal FedML 39 21 0 01 Aug 2022
Exploiting Diversity of Unlabeled Data for Label-Efficient Semi-Supervised Active Learning F. Buchert Nassir Navab Seong Tae Kim 33 6 0 25 Jul 2022
Shifts 2.0: Extending The Dataset of Real Distributional Shifts A. Malinin A. Athanasopoulos M. Barakovic Meritxell Bach Cuadra Mark Gales ... Francesco La Rosa Eli Sivena V. Tsarsitalidis Efi Tsompopoulou E. Volf OOD 33 28 0 30 Jun 2022
Black-box Generalization of Machine Teaching Xiaofeng Cao Yaming Guo Ivor W. Tsang James T. Kwok 30 0 0 30 Jun 2022
Data-Efficient Learning via Minimizing Hyperspherical Energy Xiaofeng Cao Weiyang Liu Ivor W. Tsang 21 8 0 30 Jun 2022
Making Look-Ahead Active Learning Strategies Feasible with Neural Tangent Kernels Mohamad Amin Mohamadi Wonho Bae Danica J. Sutherland 37 20 0 25 Jun 2022
Prioritized Training on Points that are Learnable, Worth Learning, and Not Yet Learnt Sören Mindermann J. Brauner Muhammed Razzak Mrinank Sharma Andreas Kirsch ... Benedikt Höltgen Aidan Gomez Adrien Morisot Sebastian Farquhar Y. Gal 70 152 0 14 Jun 2022
Balancing Bias and Variance for Active Weakly Supervised Learning Hitesh Sapkota Qi Yu 26 3 0 12 Jun 2022
ScatterSample: Diversified Label Sampling for Data Efficient Graph Neural Network Learning Zhenwei Dai Vasileios Ioannidis Soji Adeshina Zak Jost Christos Faloutsos George Karypis UQCV 28 1 0 09 Jun 2022
Tyger: Task-Type-Generic Active Learning for Molecular Property Prediction Kuangqi Zhou Kaixin Wang Jiashi Feng Jian Tang Tingyang Xu Xinchao Wang 31 1 0 23 May 2022
Bayesian Active Learning with Fully Bayesian Gaussian Processes Christoffer Riis Francisco Antunes F. B. Hüttel C. L. Azevedo Francisco Câmara Pereira GP 33 22 0 20 May 2022
Marginal and Joint Cross-Entropies & Predictives for Online Bayesian Inference, Active Learning, and Active Sampling Andreas Kirsch Jannik Kossen Y. Gal UQCV BDL 65 3 0 18 May 2022
ALLSH: Active Learning Guided by Local Sensitivity and Hardness Shujian Zhang Chengyue Gong Xingchao Liu Pengcheng He Weizhu Chen Mingyuan Zhou 29 26 0 10 May 2022
Flexible Sampling for Long-tailed Skin Lesion Classification Lie Ju Yicheng Wu Lin Wang Zhenjun Yu Xin Zhao Xin Wang Paul Bonnington Z. Ge 34 9 0 07 Apr 2022
A Comparative Survey of Deep Active Learning Xueying Zhan Qingzhong Wang Kuan-Hao Huang Haoyi Xiong Dejing Dou Antoni B. Chan FedML HAI 29 105 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 31 34 0 17 Mar 2022
Self-Distribution Distillation: Efficient Uncertainty Estimation Yassir Fathullah Mark Gales UQCV 22 11 0 15 Mar 2022
Feeding What You Need by Understanding What You Learned Xiaoqiang Wang Bang Liu Fangli Xu Bowei Long Siliang Tang Lingfei Wu 65 6 0 05 Mar 2022
Interventions, Where and How? Experimental Design for Causal Models at Scale P. Tigas Yashas Annadani Andrew Jesson Bernhard Schölkopf Y. Gal Stefan Bauer CML 48 48 0 03 Mar 2022
LiDAR dataset distillation within bayesian active learning framework: Understanding the effect of data augmentation Ngoc Phuong Anh Duong Alexandre Almin Léo Lemarié B. R. Kiran 34 3 0 06 Feb 2022
A Note on "Assessing Generalization of SGD via Disagreement" Andreas Kirsch Y. Gal FedML UQCV 26 15 0 03 Feb 2022
FedBalancer: Data and Pace Control for Efficient Federated Learning on Heterogeneous Clients Jaemin Shin Yuanchun Li Yunxin Liu Sung-Ju Lee FedML 19 74 0 05 Jan 2022
CPRAL: Collaborative Panoptic-Regional Active Learning for Semantic Segmentation Yu Qiao Jincheng Zhu Chengjiang Long Zeyao Zhang Yuxin Wang Z. Du Xin Yang 43 13 0 11 Dec 2021
Diversity Enhanced Active Learning with Strictly Proper Scoring Rules Wei Tan Lan Du Wray Buntine 16 30 0 27 Oct 2021
Utilizing Active Machine Learning for Quality Assurance: A Case Study of Virtual Car Renderings in the Automotive Industry Patrick Hemmer Niklas Kühl Jakob Schöffer 23 4 0 18 Oct 2021
Deep Active Learning by Leveraging Training Dynamics Haonan Wang Wei Huang Ziwei Wu A. Margenot Yangqiu Song Jingrui He AI4CE 31 34 0 16 Oct 2021
Data Summarization via Bilevel Optimization Zalan Borsos Mojmír Mutný Marco Tagliasacchi Andreas Krause 35 8 0 26 Sep 2021
Bayesian Active Learning for Sim-to-Real Robotic Perception Jianxiang Feng Jongseok Lee M. Durner Rudolph Triebel 57 13 0 23 Sep 2021
Robust Contrastive Active Learning with Feature-guided Query Strategies R. Krishnan Nilesh A. Ahuja Alok Sinha Mahesh Subedar Omesh Tickoo Ravi Iyer 28 1 0 13 Sep 2021
A Bayesian Framework for Information-Theoretic Probing Tiago Pimentel Ryan Cotterell 33 24 0 08 Sep 2021
Sample Noise Impact on Active Learning A. Abraham L. Dreyfus-Schmidt 24 3 0 03 Sep 2021
ImitAL: Learning Active Learning Strategies from Synthetic Data Julius Gonsior Maik Thiele Wolfgang Lehner 23 4 0 17 Aug 2021
Bayesian Active Meta-Learning for Few Pilot Demodulation and Equalization K. Cohen Sangwoo Park Osvaldo Simeone S. Shamai 35 12 0 02 Aug 2021
Batch Active Learning at Scale Gui Citovsky Giulia DeSalvo Claudio Gentile Lazaros Karydas Anand Rajagopalan Afshin Rostamizadeh Sanjiv Kumar 35 151 0 29 Jul 2021