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Active Learning Through a Covering Lens

23 May 2022

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Papers citing "Active Learning Through a Covering Lens"

38 / 38 papers shown

Title
Bridging Diversity and Uncertainty in Active learning with Self-Supervised Pre-Training Paul Doucet Benjamin Estermann Till Aczél Roger Wattenhofer 216 4 0 20 Jan 2025
Uncertainty Herding: One Active Learning Method for All Label Budgets Wonho Bae Gabriel L. Oliveira Danica J. Sutherland UQCV 422 0 0 30 Dec 2024
Deep Active Learning in the Open World Tian Xie Jifan Zhang Haoyue Bai R. Nowak VLM 412 3 0 10 Nov 2024
Avoid Wasted Annotation Costs in Open-set Active Learning with Pre-trained Vision-Language Model Jaehyuk Heo Pilsung Kang VLM 74 1 0 09 Aug 2024
Making Your First Choice: To Address Cold Start Problem in Vision Active Learning Liangyu Chen Yutong Bai Siyu Huang Yongyi Lu Bihan Wen Alan Yuille Zongwei Zhou 58 24 0 05 Oct 2022
Cold-Start Data Selection for Few-shot Language Model Fine-tuning: A Prompt-Based Uncertainty Propagation Approach Yue Yu Rongzhi Zhang Ran Xu Jieyu Zhang Jiaming Shen Chao Zhang 96 21 0 15 Sep 2022
Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets Guy Hacohen Avihu Dekel D. Weinshall 188 123 0 06 Feb 2022
A Simple Baseline for Low-Budget Active Learning Kossar Pourahmadi Parsa Nooralinejad Hamed Pirsiavash 80 20 0 22 Oct 2021
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling Bowen Zhang Yidong Wang Wenxin Hou Hao Wu Jindong Wang Manabu Okumura T. Shinozaki AAML 344 896 0 15 Oct 2021
Reducing Label Effort: Self-Supervised meets Active Learning Javad Zolfaghari Bengar Joost van de Weijer Bartlomiej Twardowski Bogdan Raducanu VLM 78 60 0 25 Aug 2021
Low Budget Active Learning via Wasserstein Distance: An Integer Programming Approach Rafid Mahmood Sanja Fidler M. Law 86 37 0 05 Jun 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 732 6,135 0 29 Apr 2021
On Initial Pools for Deep Active Learning Akshay L Chandra Sai Vikas Desai Chaitanya Devaguptapu V. Balasubramanian 103 20 0 30 Nov 2020
On the Marginal Benefit of Active Learning: Does Self-Supervision Eat Its Cake? Yao-Chun Chan Mingchen Li Samet Oymak SSL 37 23 0 16 Nov 2020
Deep Active Learning with Augmentation-based Consistency Estimation SeulGi Hong Heonjin Ha Junmo Kim Min-Kook Choi 59 10 0 05 Nov 2020
Cold-start Active Learning through Self-supervised Language Modeling Michelle Yuan Hsuan-Tien Lin Jordan L. Boyd-Graber 194 184 0 19 Oct 2020
SCAN: Learning to Classify Images without Labels Wouter Van Gansbeke Simon Vandenhende Stamatios Georgoulis Marc Proesmans Luc Van Gool VLM SSL 113 540 0 25 May 2020
Towards Robust and Reproducible Active Learning Using Neural Networks Prateek Munjal Nasir Hayat Munawar Hayat J. Sourati Shadab Khan UQCV 69 69 0 21 Feb 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 390 18,897 0 13 Feb 2020
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence Kihyuk Sohn David Berthelot Chun-Liang Li Zizhao Zhang Nicholas Carlini E. D. Cubuk Alexey Kurakin Han Zhang Colin Raffel AAML 163 3,578 0 21 Jan 2020
Parting with Illusions about Deep Active Learning Sudhanshu Mittal Maxim Tatarchenko Özgün Çiçek Thomas Brox VLM 104 59 0 11 Dec 2019
Deep Active Learning: Unified and Principled Method for Query and Training Changjian Shui Fan Zhou Christian Gagné Boyu Wang FedML 84 153 0 20 Nov 2019
Rethinking deep active learning: Using unlabeled data at model training Oriane Siméoni Mateusz Budnik Yannis Avrithis G. Gravier HAI 90 79 0 19 Nov 2019
Consistency-based Semi-supervised Active Learning: Towards Minimizing Labeling Cost M. Gao Zizhao Zhang Guo-Ding Yu Sercan O. Arik L. Davis Tomas Pfister 228 200 0 16 Oct 2019
RandAugment: Practical automated data augmentation with a reduced search space E. D. Cubuk Barret Zoph Jonathon Shlens Quoc V. Le MQ 260 3,505 0 30 Sep 2019
Discriminative Active Learning Daniel Gissin Shai Shalev-Shwartz 58 178 0 15 Jul 2019
BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning Andreas Kirsch Joost R. van Amersfoort Y. Gal FedML 89 629 0 19 Jun 2019
Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds Jordan T. Ash Chicheng Zhang A. Krishnamurthy John Langford Alekh Agarwal BDL UQCV 105 777 0 09 Jun 2019
Learning Loss for Active Learning Donggeun Yoo In So Kweon UQCV 85 663 0 09 May 2019
Variational Adversarial Active Learning Samarth Sinha Sayna Ebrahimi Trevor Darrell GAN DRL VLM SSL 140 579 0 31 Mar 2019
Diverse mini-batch Active Learning Fedor Zhdanov 61 156 0 17 Jan 2019
Addressing the Item Cold-start Problem by Attribute-driven Active Learning Y. Zhu Jinhao Lin S. He Beidou Wang Ziyu Guan Haifeng Liu Deng Cai 185 131 0 23 May 2018
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric Richard Y. Zhang Phillip Isola Alexei A. Efros Eli Shechtman Oliver Wang EGVM 384 11,938 0 11 Jan 2018
Deep Active Learning over the Long Tail Yonatan Geifman Ran El-Yaniv 3DPC 69 143 0 02 Nov 2017
Deep Bayesian Active Learning with Image Data Y. Gal Riashat Islam Zoubin Ghahramani BDL UQCV 75 1,739 0 08 Mar 2017
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.3K 194,510 0 10 Dec 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 883 9,353 0 06 Jun 2015
Bayesian Active Learning for Classification and Preference Learning N. Houlsby Ferenc Huszár Zoubin Ghahramani M. Lengyel 130 915 0 24 Dec 2011