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

International Conference on Machine Learning (ICML), 2022

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"

50 / 62 papers shown

Title
Diffusion-Driven Two-Stage Active Learning for Low-Budget Semantic Segmentation Jeongin Kim Wonho Bae YouLee Han Giyeong Oh Youngjae Yu Danica J. Sutherland Junhyug Noh DiffM 128 0 0 25 Oct 2025
Addressing Pitfalls in the Evaluation of Uncertainty Estimation Methods for Natural Language Generation Mykyta Ielanskyi Kajetan Schweighofer L. Aichberger Sepp Hochreiter HILM 209 0 0 02 Oct 2025
Streamlining the Development of Active Learning Methods in Real-World Object Detection Moussa Kassem Sbeyti Nadja Klein Michelle Karg Christian Wirth S. Albayrak 102 0 0 27 Aug 2025
Active Domain Knowledge Acquisition with 100-Dollar Budget: Enhancing LLMs via Cost-Efficient, Expert-Involved Interaction in Sensitive Domains Yang Wu Raha Moraffah Rujing Yao Jinhong Yu Zhimin Tao Xiaozhong Liu 141 2 0 24 Aug 2025
MedCAL-Bench: A Comprehensive Benchmark on Cold-Start Active Learning with Foundation Models for Medical Image Analysis Ning Zhu Xiaochuan Ma Shaoting Zhang Guotai Wang 109 0 0 05 Aug 2025
PICore: Physics-Informed Unsupervised Coreset Selection for Data Efficient Neural Operator Training Anirudh Satheesh Anant Khandelwal Mucong Ding Radu Balan AI4CE 144 0 0 23 Jul 2025
PCoreSet: Effective Active Learning through Knowledge Distillation from Vision-Language Models Seongjae Kang Dong Bok Lee Hyungjoon Jang Dongseop Kim Sung Ju Hwang VLM 376 0 0 01 Jun 2025
Exploring the Possibility of TypiClust for Low-Budget Federated Active LearningAnnual International Computer Software and Applications Conference (COMPSAC), 2025 Yuta Ono Hiroshi Nakamura Hideki Takase 100 0 0 26 May 2025
Certainty and Uncertainty Guided Active Domain AdaptationInternational Conference on Information Photonics (ICIP), 2025 Bardia Safaei Vibashan Vs Vishal M. Patel TTA 171 2 0 26 May 2025
No Free Lunch in Active Learning: LLM Embedding Quality Dictates Query Strategy Success Lukas Rauch Moritz Wirth Denis Huseljic M. Herde Bernhard Sick Yi Men 125 0 0 18 May 2025
LEMON: A Large Endoscopic MONocular Dataset and Foundation Model for Perception in Surgical Settings Chengan Che Chao Wang Tom Vercauteren Sophia Tsoka Luis C. Garcia-Peraza-Herrera MedIm 378 2 0 25 Mar 2025
Efficient Data Selection for Training Genomic Perturbation Models G. Panagopoulos J. Lutzeyer Sofiane Ennadir Michalis Vazirgiannis 1.1K 0 0 18 Mar 2025
PanDx: AI-assisted Early Detection of Pancreatic Ductal Adenocarcinoma on Contrast-enhanced CT Han Liu Riqiang Gao Sasa Grbic Sasa Grbic 169 1 0 13 Mar 2025
Filter Images First, Generate Instructions Later: Pre-Instruction Data Selection for Visual Instruction TuningComputer Vision and Pattern Recognition (CVPR), 2025 Bardia Safaei Faizan Siddiqui Jiacong Xu Vishal M. Patel Shao-Yuan Lo VLM 966 7 0 10 Mar 2025
Instance-wise Supervision-level Optimization in Active LearningComputer Vision and Pattern Recognition (CVPR), 2025 Shinnosuke Matsuo Riku Togashi Ryoma Bise Seiichi Uchida Masahiro Nomura 213 1 0 09 Mar 2025
Towards Comparable Active Learning Thorben Werner Johannes Burchert Lars Schmidt-Thieme 272 0 0 24 Feb 2025
DEUCE: Dual-diversity Enhancement and Uncertainty-awareness for Cold-start Active LearningTransactions of the Association for Computational Linguistics (TACL), 2024 Jiaxin Guo Cheng Chen Shuzhen Li Tianze Zhang 354 1 0 01 Feb 2025
Reducing Aleatoric and Epistemic Uncertainty through Multi-modal Data Acquisition Arthur Hoarau Benjamin Quost Sébastien Destercke Willem Waegeman UQCV UD PER 328 3 0 30 Jan 2025
Bridging Diversity and Uncertainty in Active learning with Self-Supervised Pre-Training Paul Doucet Benjamin Estermann Till Aczél Roger Wattenhofer 405 7 0 20 Jan 2025
Uncertainty Herding: One Active Learning Method for All Label BudgetsInternational Conference on Learning Representations (ICLR), 2024 Wonho Bae Gabriel L. Oliveira Danica J. Sutherland UQCV 744 4 0 30 Dec 2024
Deep Active Learning in the Open World Tian Xie Jifan Zhang Haoyue Bai R. Nowak VLM 837 6 0 10 Nov 2024
DEMAU: Decompose, Explore, Model and Analyse Uncertainties A. Hoarau Vincent Lemaire UQCV UD PER 166 0 0 12 Sep 2024
Understanding Uncertainty-based Active Learning Under Model Mismatch Amir Hossein Rahmati Mingzhou Fan Ruida Zhou Nathan M. Urban Byung-Jun Yoon Xiaoning Qian 113 3 0 24 Aug 2024
Bayesian Active Learning for Semantic Segmentation Sima Didari Wenjun Hu Jae Oh Woo Heng Hao Hankyu Moon Seungjai Min 341 5 0 03 Aug 2024
DCoM: Active Learning for All Learners Inbal Mishal D. Weinshall VLM 224 2 0 01 Jul 2024
ALPBench: A Benchmark for Active Learning Pipelines on Tabular Data Valentin Margraf Marcel Wever Sandra Gilhuber Gabriel Marques Tavares Thomas Seidl Eyke Hüllermeier 229 5 0 25 Jun 2024
Diverse Subset Selection via Norm-Based Sampling and Orthogonality Noga Bar Raja Giryes CVBM 326 1 0 03 Jun 2024
A Unified Approach Towards Active Learning and Out-of-Distribution Detection Sebastian Schmidt Leonard Schenk Leo Schwinn Stephan Günnemann 405 6 0 18 May 2024
Perception Without Vision for Trajectory Prediction: Ego Vehicle Dynamics as Scene Representation for Efficient Active Learning in Autonomous Driving Ross Greer Mohan M. Trivedi 233 4 0 15 May 2024
Fast Fishing: Approximating BAIT for Efficient and Scalable Deep Active Image Classification Denis Huseljic Paul Hahn M. Herde Lukas Rauch Bernhard Sick 324 4 0 13 Apr 2024
SUPClust: Active Learning at the Boundaries Yuta Ono Till Aczél Benjamin Estermann Roger Wattenhofer 188 2 0 06 Mar 2024
Feature Alignment: Rethinking Efficient Active Learning via Proxy in the Context of Pre-trained Models Ziting Wen Oscar Pizarro Stefan B. Williams 191 0 0 02 Mar 2024
A Comprehensive Review of Machine Learning Advances on Data Change: A Cross-Field Perspective Jeng-Lin Li Chih-Fan Hsu Ming-Ching Chang Wei-Chao Chen OOD 224 2 0 20 Feb 2024
Towards Explainable, Safe Autonomous Driving with Language Embeddings for Novelty Identification and Active Learning: Framework and Experimental Analysis with Real-World Data Sets Ross Greer Mohan M. Trivedi 216 28 0 11 Feb 2024
Direct Acquisition Optimization for Low-Budget Active Learning Zhuokai Zhao Yibo Jiang Yuxin Chen 236 2 0 08 Feb 2024
Scaling TabPFN: Sketching and Feature Selection for Tabular Prior-Data Fitted Networks Ben Feuer Chinmay Hegde Niv Cohen 231 12 0 17 Nov 2023
Re-weighting Tokens: A Simple and Effective Active Learning Strategy for Named Entity RecognitionConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 Haocheng Luo Wei Tan Ngoc Dang Nguyen Lan Du 236 4 0 02 Nov 2023
Learning to Rank for Active Learning via Multi-Task Bilevel OptimizationConference on Uncertainty in Artificial Intelligence (UAI), 2023 Zixin Ding Si-An Chen Ruoxi Jia Yuxin Chen 264 2 0 25 Oct 2023
BaSAL: Size-Balanced Warm Start Active Learning for LiDAR Semantic SegmentationIEEE International Conference on Robotics and Automation (ICRA), 2023 Jiarong Wei Yancong Lin Holger Caesar 230 7 0 12 Oct 2023
Evidential uncertainty sampling for active learning A. Hoarau V. Lemaire Arnaud Martin Jean-Christophe Dubois Y. Gall UQCV EDL PER UD 155 1 0 21 Sep 2023
How To Overcome Confirmation Bias in Semi-Supervised Image Classification By Active Learning Sandra Gilhuber Rasmus Hvingelby Mang Ling Ada Fok Thomas Seidl 174 2 0 16 Aug 2023
Training Ensembles with Inliers and Outliers for Semi-supervised Active LearningIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023 Vladan Stojnić Zakaria Laskar Giorgos Tolias 226 3 0 07 Jul 2023
LabelBench: A Comprehensive Framework for Benchmarking Adaptive Label-Efficient Learning Jifan Zhang Yifang Chen Gregory H. Canal Stephen Mussmann Arnav M. Das ... Yinglun Zhu Jeffrey Bilmes S. Du Kevin Jamieson Robert D. Nowak VLM 387 23 0 16 Jun 2023
Towards Balanced Active Learning for Multimodal ClassificationACM Multimedia (ACM MM), 2023 Meng Shen Yizheng Huang Jianxiong Yin Heqing Zou D. Rajan Simon See 137 9 0 14 Jun 2023
NTKCPL: Active Learning on Top of Self-Supervised Model by Estimating True Coverage Ziting Wen Oscar Pizarro Stefan B. Williams 266 2 0 07 Jun 2023
On the Limitations of Simulating Active LearningAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 Katerina Margatina Nikolaos Aletras 180 13 0 21 May 2023
You Never Get a Second Chance To Make a Good First Impression: Seeding Active Learning for 3D Semantic SegmentationIEEE International Conference on Computer Vision (ICCV), 2023 Nermin Samet Oriane Siméoni Gilles Puy Georgy Ponimatkin Renaud Marlet Vincent Lepetit 3DPC 316 6 0 23 Apr 2023
ASPEST: Bridging the Gap Between Active Learning and Selective Prediction Jiefeng Chen Chang Jo Kim Sayna Ebrahimi Sercan O. Arik S. Jha Tomas Pfister 331 5 0 07 Apr 2023
How to Allocate your Label Budget? Choosing between Active Learning and Learning to Reject in Anomaly Detection Lorenzo Perini Daniele Giannuzzi Jesse Davis 160 2 0 07 Jan 2023
Label-Efficient Interactive Time-Series Anomaly Detection Hongmei Guo Yujing Wang Jieyu Zhang Zhe-Min Lin Yu Tong Lei Yang Luoxing Xiong Congrui Huang AI4TS 175 1 0 30 Dec 2022