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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Title
Zero-Round Active Learning Si-An Chen Tianhao Wang R. Jia 67 4 0 14 Jul 2021
A Survey of Uncertainty in Deep Neural Networks J. Gawlikowski Cedrique Rovile Njieutcheu Tassi Mohsin Ali Jongseo Lee Matthias Humt ... R. Roscher Muhammad Shahzad Wen Yang R. Bamler Xiaoxiang Zhu BDL UQCV OOD 66 1,112 0 07 Jul 2021
Improving black-box optimization in VAE latent space using decoder uncertainty Pascal Notin José Miguel Hernández-Lobato Y. Gal 37 61 0 30 Jun 2021
Multi-Domain Active Learning: Literature Review and Comparative Study Ruidan He Shengcai Liu Shan He Ke Tang OOD 24 14 0 25 Jun 2021
Not All Labels Are Equal: Rationalizing The Labeling Costs for Training Object Detection Ismail Elezi Zhiding Yu Anima Anandkumar Laura Leal-Taixe J. Álvarez ObjD 35 39 0 22 Jun 2021
Test Distribution-Aware Active Learning: A Principled Approach Against Distribution Shift and Outliers Andreas Kirsch Tom Rainforth Y. Gal OOD TTA 39 22 0 22 Jun 2021
Active Learning for Deep Neural Networks on Edge Devices Yuya Senzaki Christian Hamelain 36 7 0 21 Jun 2021
Gone Fishing: Neural Active Learning with Fisher Embeddings Jordan T. Ash Surbhi Goel A. Krishnamurthy Sham Kakade 35 86 0 17 Jun 2021
Effective Evaluation of Deep Active Learning on Image Classification Tasks Nathan Beck D. Sivasubramanian Apurva Dani Ganesh Ramakrishnan Rishabh K. Iyer VLM 25 38 0 16 Jun 2021
Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation Emmanuel Bengio Moksh Jain Maksym Korablyov Doina Precup Yoshua Bengio 49 312 0 08 Jun 2021
Visual Transformer for Task-aware Active Learning Razvan Caramalau Binod Bhattarai Tae-Kyun Kim ViT 25 11 0 07 Jun 2021
Neural Active Learning with Performance Guarantees Pranjal Awasthi Christoph Dann Claudio Gentile Ayush Sekhari Zhilei Wang 32 22 0 06 Jun 2021
Multi-class Text Classification using BERT-based Active Learning Sumanth Prabhu Moosa Mohamed Hemant Misra 29 38 0 27 Apr 2021
On the Importance of Effectively Adapting Pretrained Language Models for Active Learning Katerina Margatina Loïc Barrault Nikolaos Aletras 29 36 0 16 Apr 2021
Deep Indexed Active Learning for Matching Heterogeneous Entity Representations Arjit Jain Sunita Sarawagi Prithviraj Sen 34 24 0 08 Apr 2021
A Neural Pre-Conditioning Active Learning Algorithm to Reduce Label Complexity Seo Taek Kong Soomin Jeon Dongbin Na Jaewon Lee Honglak Lee Kyu-Hwan Jung 25 6 0 08 Apr 2021
Low-Regret Active learning Cenk Baykal Lucas Liebenwein Dan Feldman Daniela Rus UQCV 41 3 0 06 Apr 2021
Active Testing: Sample-Efficient Model Evaluation Jannik Kossen Sebastian Farquhar Y. Gal Tom Rainforth VLM 29 49 0 09 Mar 2021
Deep Deterministic Uncertainty: A Simple Baseline Jishnu Mukhoti Andreas Kirsch Joost R. van Amersfoort Philip Torr Y. Gal UD UQCV PER BDL 37 146 0 23 Feb 2021
Active Deep Learning on Entity Resolution by Risk Sampling Youcef Nafa Qun Chen Zhaoqiang Chen Xingyu Lu Haiyang He Tianyi Duan Zhanhuai Li 10 16 0 23 Dec 2020
Semi-supervised Batch Active Learning via Bilevel Optimization Zalan Borsos Marco Tagliasacchi Andreas Krause 39 23 0 19 Oct 2020
Cold-start Active Learning through Self-supervised Language Modeling Michelle Yuan Hsuan-Tien Lin Jordan L. Boyd-Graber 116 180 0 19 Oct 2020
Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings Viraj Prabhu Arjun Chandrasekaran Kate Saenko Judy Hoffman OOD 106 124 0 16 Oct 2020
Deep Active Learning for Joint Classification & Segmentation with Weak Annotator Soufiane Belharbi Ismail Ben Ayed Luke McCaffrey Eric Granger VLM 23 30 0 10 Oct 2020
Model-Centric and Data-Centric Aspects of Active Learning for Deep Neural Networks John Daniel Bossér Erik Sörstadius M. Chehreghani 18 14 0 22 Sep 2020
DEAL: Deep Evidential Active Learning for Image Classification Patrick Hemmer Niklas Kühl Jakob Schöffer 35 37 0 22 Jul 2020
Probabilistic Active Meta-Learning Jean Kaddour Steindór Sæmundsson M. Deisenroth 27 34 0 17 Jul 2020
Uncertainty in Gradient Boosting via Ensembles Aleksei Ustimenko Liudmila Prokhorenkova A. Malinin UQCV 28 94 0 18 Jun 2020
Sequential Graph Convolutional Network for Active Learning Razvan Caramalau Binod Bhattarai Tae-Kyun Kim GNN 27 118 0 18 Jun 2020
High-contrast "gaudy" images improve the training of deep neural network models of visual cortex Benjamin R. Cowley Jonathan W. Pillow 29 10 0 13 Jun 2020
Wat zei je? Detecting Out-of-Distribution Translations with Variational Transformers Tim Z. Xiao Aidan Gomez Y. Gal UQLM 17 33 0 08 Jun 2020
Coresets via Bilevel Optimization for Continual Learning and Streaming Zalan Borsos Mojmír Mutný Andreas Krause CLL 38 228 0 06 Jun 2020
Efficient Ensemble Model Generation for Uncertainty Estimation with Bayesian Approximation in Segmentation Hong Joo Lee S. T. Kim Hakmin Lee Nassir Navab Yong Man Ro UQCV 23 7 0 21 May 2020
Batch Decorrelation for Active Metric Learning Priyadarshini Kumari Ritesh Goru Siddhartha Chaudhuri Subhasis Chaudhuri 26 7 0 20 May 2020
Unpacking Information Bottlenecks: Unifying Information-Theoretic Objectives in Deep Learning Andreas Kirsch Clare Lyle Y. Gal 27 16 0 27 Mar 2020
Towards Robust and Reproducible Active Learning Using Neural Networks Prateek Munjal Nasir Hayat Munawar Hayat J. Sourati Shadab Khan UQCV 30 67 0 21 Feb 2020
Adversarial Representation Active Learning A. Mottaghi Serena Yeung VLM GAN 25 29 0 20 Dec 2019
Selection via Proxy: Efficient Data Selection for Deep Learning Cody Coleman Christopher Yeh Stephen Mussmann Baharan Mirzasoleiman Peter Bailis Percy Liang J. Leskovec Matei A. Zaharia 36 331 0 26 Jun 2019
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 289 9,167 0 06 Jun 2015