Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds

9 June 2019

Papers citing "Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds"

25 / 25 papers shown

Title
HeAL3D: Heuristical-enhanced Active Learning for 3D Object Detection Esteban Rivera Surya Prabhakaran Markus Lienkamp VLM 358 0 0 01 May 2025
Gradient-based Sample Selection for Faster Bayesian Optimization Qiyu Wei Haowei Wang Zirui Cao Songhao Wang Richard Allmendinger Mauricio A Álvarez 43 0 0 10 Apr 2025
Efficient Data Selection for Training Genomic Perturbation Models G. Panagopoulos J. Lutzeyer Sofiane Ennadir Michalis Vazirgiannis Jun Pang 394 0 0 18 Mar 2025
Instance-wise Supervision-level Optimization in Active Learning Shinnosuke Matsuo Riku Togashi Ryoma Bise Seiichi Uchida Masahiro Nomura 67 0 0 09 Mar 2025
Rethinking Epistemic and Aleatoric Uncertainty for Active Open-Set Annotation: An Energy-Based Approach Chen-Chen Zong Sheng-Jun Huang EDL 112 0 0 27 Feb 2025
Towards Comparable Active Learning Thorben Werner Johannes Burchert Lars Schmidt-Thieme 112 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 100 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 182 4 0 20 Jan 2025
Uncertainty Herding: One Active Learning Method for All Label Budgets Wonho Bae Gabriel L. Oliveira Danica J. Sutherland UQCV 324 0 0 30 Dec 2024
Deep Active Learning in the Open World Tian Xie Jifan Zhang Haoyue Bai R. Nowak VLM 316 1 0 10 Nov 2024
Scale-Aware Recognition in Satellite Images under Resource Constraints Shreelekha Revankar Cheng Perng Phoo Utkarsh Mall Bharath Hariharan Kavita Bala 74 0 0 31 Oct 2024
AutoAL: Automated Active Learning with Differentiable Query Strategy Search Yifeng Wang Xueying Zhan Siyu Huang OOD 65 0 0 17 Oct 2024
Adaptive teachers for amortized samplers Minsu Kim Sanghyeok Choi Taeyoung Yun Emmanuel Bengio Leo Feng Jarrid Rector-Brooks Sungsoo Ahn Jinkyoo Park Nikolay Malkin Yoshua Bengio 373 6 0 02 Oct 2024
Fair Class-Incremental Learning using Sample Weighting Jaeyoung Park Minsu Kim Steven Euijong Whang 59 0 0 02 Oct 2024
Differentially Private Active Learning: Balancing Effective Data Selection and Privacy Kristian Schwethelm Johannes Kaiser Jonas Kuntzer Mehmet Yigitsoy Daniel Rueckert Georgios Kaissis 64 0 0 01 Oct 2024
MALADY: Multiclass Active Learning with Auction Dynamics on Graphs Gokul Bhusal Kevin Miller Ekaterina Merkurjev 68 1 0 14 Sep 2024
Active Learning for Neural PDE Solvers Daniel Musekamp Marimuthu Kalimuthu David Holzmüller Makoto Takamoto Carlos Fernandez AI4CE 95 6 0 02 Aug 2024
Adversarial Style Augmentation via Large Language Model for Robust Fake News Detection Sungwon Park Sungwon Han Xing Xie Jae-Gil Lee Meeyoung Cha 72 1 0 17 Jun 2024
GIST: Greedy Independent Set Thresholding for Diverse Data Summarization Matthew Fahrbach Srikumar Ramalingam Morteza Zadimoghaddam Sara Ahmadian Gui Citovsky Giulia DeSalvo 85 1 0 29 May 2024
Uncertainty for Active Learning on Graphs Dominik Fuchsgruber Tom Wollschlager Bertrand Charpentier Antonio Oroz Stephan Günnemann 87 11 0 02 May 2024
A Framework and Benchmark for Deep Batch Active Learning for Regression David Holzmüller Viktor Zaverkin Johannes Kastner Ingo Steinwart UQCV BDL GP 61 35 0 17 Mar 2022
Reverse iterative volume sampling for linear regression Michal Derezinski Manfred K. Warmuth 63 43 0 06 Jun 2018
Adversarial Active Learning for Deep Networks: a Margin Based Approach Mélanie Ducoffe F. Precioso GAN AAML 81 272 0 27 Feb 2018
Determinantal point processes for machine learning Alex Kulesza B. Taskar 213 1,130 0 25 Jul 2012
Agnostic Active Learning Without Constraints A. Beygelzimer Daniel J. Hsu John Langford Tong Zhang VLM 86 181 0 14 Jun 2010