Making Look-Ahead Active Learning Strategies Feasible with Neural Tangent Kernels

25 June 2022

Papers citing "Making Look-Ahead Active Learning Strategies Feasible with Neural Tangent Kernels"

20 / 20 papers shown

Title
Uncertainty Herding: One Active Learning Method for All Label Budgets Wonho Bae Gabriel L. Oliveira Danica J. Sutherland UQCV 51 0 0 30 Dec 2024
Deep Active Learning in the Open World Tian Xie Jifan Zhang Haoyue Bai R. Nowak VLM 43 0 0 10 Nov 2024
AHA: Human-Assisted Out-of-Distribution Generalization and Detection Haoyue Bai Jifan Zhang Robert Nowak 30 5 0 10 Oct 2024
Generalized Coverage for More Robust Low-Budget Active Learning Wonho Bae Junhyug Noh Danica J. Sutherland 14 0 0 16 Jul 2024
A Survey on Deep Active Learning: Recent Advances and New Frontiers Dongyuan Li Zhen Wang Yankai Chen Renhe Jiang Weiping Ding Manabu Okumura 36 0 0 01 May 2024
PINNACLE: PINN Adaptive ColLocation and Experimental points selection Gregory Kang Ruey Lau Apivich Hemachandra See-Kiong Ng K. H. Low 3DPC 26 17 0 11 Apr 2024
Querying Easily Flip-flopped Samples for Deep Active Learning S. Cho G. Kim Junghyun Lee Jinwoo Shin Chang-Dong Yoo 21 6 0 18 Jan 2024
DIRECT: Deep Active Learning under Imbalance and Label Noise Shyam Nuggehalli Jifan Zhang Lalit P. Jain Robert D. Nowak 15 8 0 14 Dec 2023
Exploring Active Learning in Meta-Learning: Enhancing Context Set Labeling Wonho Bae Jing Wang Danica J. Sutherland 28 1 0 06 Nov 2023
Re-weighting Tokens: A Simple and Effective Active Learning Strategy for Named Entity Recognition Haocheng Luo Wei Tan Ngoc Dang Nguyen Lan Du 14 2 0 02 Nov 2023
KECOR: Kernel Coding Rate Maximization for Active 3D Object Detection Yadan Luo Zhuoxiao Chen Zhenying Fang Zheng-Wei Zhang Zi Huang Mahsa Baktashmotlagh 3DPC 13 6 0 16 Jul 2023
Training-Free Neural Active Learning with Initialization-Robustness Guarantees Apivich Hemachandra Zhongxiang Dai Jasraj Singh See-Kiong Ng K. H. Low AAML 25 6 0 07 Jun 2023
NTKCPL: Active Learning on Top of Self-Supervised Model by Estimating True Coverage Ziting Wen Oscar Pizarro Stefan B. Williams 11 2 0 07 Jun 2023
Synaptic Weight Distributions Depend on the Geometry of Plasticity Roman Pogodin Jonathan H. Cornford Arna Ghosh Gauthier Gidel Guillaume Lajoie Blake A. Richards 13 4 0 30 May 2023
Differentially Private Neural Tangent Kernels for Privacy-Preserving Data Generation Yilin Yang Kamil Adamczewski Danica J. Sutherland Xiaoxiao Li Mijung Park 12 14 0 03 Mar 2023
Algorithm Selection for Deep Active Learning with Imbalanced Datasets Jifan Zhang Shuai Shao Saurabh Verma Robert D. Nowak 8 18 0 14 Feb 2023
A Fast, Well-Founded Approximation to the Empirical Neural Tangent Kernel Mohamad Amin Mohamadi Wonho Bae Danica J. Sutherland AAML 19 26 0 25 Jun 2022
A Framework and Benchmark for Deep Batch Active Learning for Regression David Holzmüller Viktor Zaverkin Johannes Kastner Ingo Steinwart UQCV BDL GP 10 34 0 17 Mar 2022
Semi-supervised Batch Active Learning via Bilevel Optimization Zalan Borsos Marco Tagliasacchi Andreas Krause 22 23 0 19 Oct 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,042 0 06 Jun 2015