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Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets

6 February 2022

Guy Hacohen

Avihu Dekel

D. Weinshall

ArXiv (abs)PDF HTML Github (93★)

Papers citing "Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets"

49 / 49 papers shown

Title
Efficient Data Selection for Training Genomic Perturbation Models G. Panagopoulos J. Lutzeyer Sofiane Ennadir Michalis Vazirgiannis Jun Pang 480 0 0 18 Mar 2025
Filter Images First, Generate Instructions Later: Pre-Instruction Data Selection for Visual Instruction Tuning Bardia Safaei Faizan Siddiqui Jiacong Xu Vishal M. Patel Shao-Yuan Lo VLM 439 1 0 10 Mar 2025
Instance-wise Supervision-level Optimization in Active Learning Shinnosuke Matsuo Riku Togashi Ryoma Bise Seiichi Uchida Masahiro Nomura 97 0 0 09 Mar 2025
Towards Comparable Active Learning Thorben Werner Johannes Burchert Lars Schmidt-Thieme 138 0 0 24 Feb 2025
DEUCE: Dual-diversity Enhancement and Uncertainty-awareness for Cold-start Active Learning Jiaxin Guo Cheng Chen Shuzhen Li Tianze Zhang 125 0 0 01 Feb 2025
Bridging Diversity and Uncertainty in Active learning with Self-Supervised Pre-Training Paul Doucet Benjamin Estermann Till Aczél Roger Wattenhofer 201 4 0 20 Jan 2025
Uncertainty Herding: One Active Learning Method for All Label Budgets Wonho Bae Gabriel L. Oliveira Danica J. Sutherland UQCV 411 0 0 30 Dec 2024
Deep Active Learning in the Open World Tian Xie Jifan Zhang Haoyue Bai R. Nowak VLM 405 3 0 10 Nov 2024
Active Learning Through a Covering Lens Ofer Yehuda Avihu Dekel Guy Hacohen D. Weinshall 52 50 0 23 May 2022
A Simple Baseline for Low-Budget Active Learning Kossar Pourahmadi Parsa Nooralinejad Hamed Pirsiavash 71 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 332 895 0 15 Oct 2021
The Grammar-Learning Trajectories of Neural Language Models Leshem Choshen Guy Hacohen D. Weinshall Omri Abend 85 28 0 13 Sep 2021
Reducing Label Effort: Self-Supervised meets Active Learning Javad Zolfaghari Bengar Joost van de Weijer Bartlomiej Twardowski Bogdan Raducanu VLM 58 60 0 25 Aug 2021
Low Budget Active Learning via Wasserstein Distance: An Integer Programming Approach Rafid Mahmood Sanja Fidler M. Law 68 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 700 6,121 0 29 Apr 2021
Boosting the Performance of Semi-Supervised Learning with Unsupervised Clustering B. Lerner Guy Shiran D. Weinshall SSL 49 5 0 01 Dec 2020
On Initial Pools for Deep Active Learning Akshay L Chandra Sai Vikas Desai Chaitanya Devaguptapu V. Balasubramanian 82 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 35 23 0 16 Nov 2020
Deep Active Learning with Augmentation-based Consistency Estimation SeulGi Hong Heonjin Ha Junmo Kim Min-Kook Choi 54 10 0 05 Nov 2020
Cold-start Active Learning through Self-supervised Language Modeling Michelle Yuan Hsuan-Tien Lin Jordan L. Boyd-Graber 181 184 0 19 Oct 2020
A Survey of Active Learning for Text Classification using Deep Neural Networks Christopher Schröder A. Niekler 62 100 0 17 Aug 2020
Bootstrap your own latent: A new approach to self-supervised Learning Jean-Bastien Grill Florian Strub Florent Altché Corentin Tallec Pierre Harvey Richemond ... M. G. Azar Bilal Piot Koray Kavukcuoglu Rémi Munos Michal Valko SSL 374 6,833 0 13 Jun 2020
The Pitfalls of Simplicity Bias in Neural Networks Harshay Shah Kaustav Tamuly Aditi Raghunathan Prateek Jain Praneeth Netrapalli AAML 69 361 0 13 Jun 2020
SCAN: Learning to Classify Images without Labels Wouter Van Gansbeke Simon Vandenhende Stamatios Georgoulis Marc Proesmans Luc Van Gool VLM SSL 111 540 0 25 May 2020
Towards Robust and Reproducible Active Learning Using Neural Networks Prateek Munjal Nasir Hayat Munawar Hayat J. Sourati Shadab Khan UQCV 67 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 375 18,859 0 13 Feb 2020
Parting with Illusions about Deep Active Learning Sudhanshu Mittal Maxim Tatarchenko Özgün Çiçek Thomas Brox VLM 93 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 79 153 0 20 Nov 2019
Rethinking deep active learning: Using unlabeled data at model training Oriane Siméoni Mateusz Budnik Yannis Avrithis G. Gravier HAI 82 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 206 200 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 241 3,503 0 30 Sep 2019
Discriminative Active Learning Daniel Gissin Shai Shalev-Shwartz 53 178 0 15 Jul 2019
BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning Andreas Kirsch Joost R. van Amersfoort Y. Gal FedML 87 629 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 88 776 0 09 Jun 2019
Let's Agree to Agree: Neural Networks Share Classification Order on Real Datasets Guy Hacohen Leshem Choshen D. Weinshall AI4TS OOD 62 57 0 26 May 2019
Learning Loss for Active Learning Donggeun Yoo In So Kweon UQCV 85 662 0 09 May 2019
On The Power of Curriculum Learning in Training Deep Networks Guy Hacohen D. Weinshall ODL 75 447 0 07 Apr 2019
Variational Adversarial Active Learning Samarth Sinha Sayna Ebrahimi Trevor Darrell GAN DRL VLM SSL 122 579 0 31 Mar 2019
Diverse mini-batch Active Learning Fedor Zhdanov 59 155 0 17 Jan 2019
Theory of Curriculum Learning, with Convex Loss Functions D. Weinshall D. Amir 55 41 0 09 Dec 2018
Practical Obstacles to Deploying Active Learning David Lowell Zachary Chase Lipton Byron C. Wallace 84 111 0 12 Jul 2018
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 180 131 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 379 11,877 0 11 Jan 2018
Deep Active Learning over the Long Tail Yonatan Geifman Ran El-Yaniv 3DPC 65 143 0 02 Nov 2017
Deep Bayesian Active Learning with Image Data Y. Gal Riashat Islam Zoubin Ghahramani BDL UQCV 73 1,739 0 08 Mar 2017
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 833 9,345 0 06 Jun 2015
An Introduction to Matrix Concentration Inequalities J. Tropp 168 1,154 0 07 Jan 2015
Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images Anh Totti Nguyen J. Yosinski Jeff Clune AAML 171 3,275 0 05 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.7K 100,479 0 04 Sep 2014