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AutoAL: Automated Active Learning with Differentiable Query Strategy Search

17 October 2024

Papers citing "AutoAL: Automated Active Learning with Differentiable Query Strategy Search"

29 / 29 papers shown

Title
Rapid Image Labeling via Neuro-Symbolic Learning Yifeng Wang Zhi Tu Yiwen Xiang Shiyuan Zhou Xiyuan Chen Bingxuan Li Tianyi Zhang VLM 70 6 0 18 Jun 2023
How to Select Which Active Learning Strategy is Best Suited for Your Specific Problem and Budget Guy Hacohen D. Weinshall 84 9 0 06 Jun 2023
Algorithm Selection for Deep Active Learning with Imbalanced Datasets Jifan Zhang Shuai Shao Saurabh Verma Robert D. Nowak 79 21 0 14 Feb 2023
Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-set Active Learning Dongmin Park Yooju Shin Jihwan Bang Youngjune Lee Hwanjun Song Jae-Gil Lee 96 26 0 13 Oct 2022
Gradient-based Bi-level Optimization for Deep Learning: A Survey Can Chen Xiangshan Chen Chen Ma Zixuan Liu Xue Liu 147 39 0 24 Jul 2022
A Comparative Survey of Deep Active Learning Xueying Zhan Qingzhong Wang Kuan-Hao Huang Haoyi Xiong Dejing Dou Antoni B. Chan FedML HAI 89 111 0 25 Mar 2022
Towards General and Efficient Active Learning Yichen Xie Masayoshi Tomizuka Wei Zhan VLM 68 10 0 15 Dec 2021
MedMNIST v2 -- A large-scale lightweight benchmark for 2D and 3D biomedical image classification Jiancheng Yang Rui Shi D. Wei Zequan Liu Lin Zhao B. Ke Hanspeter Pfister Bingbing Ni VLM 305 702 0 27 Oct 2021
Batch Active Learning at Scale Gui Citovsky Giulia DeSalvo Claudio Gentile Lazaros Karydas Anand Rajagopalan Afshin Rostamizadeh Sanjiv Kumar 62 156 0 29 Jul 2021
Multiple-criteria Based Active Learning with Fixed-size Determinantal Point Processes Xueying Zhan Qing Li Antoni B. Chan 44 8 0 04 Jul 2021
Deep Deterministic Uncertainty: A Simple Baseline Jishnu Mukhoti Andreas Kirsch Joost R. van Amersfoort Philip Torr Y. Gal UD UQCV PER BDL 96 155 0 23 Feb 2021
Investigating Bi-Level Optimization for Learning and Vision from a Unified Perspective: A Survey and Beyond Risheng Liu Jiaxin Gao Jin Zhang Deyu Meng Zhouchen Lin AI4CE 140 229 0 27 Jan 2021
A Survey of Deep Active Learning Pengzhen Ren Yun Xiao Xiaojun Chang Po-Yao (Bernie) Huang Zhihui Li Brij B. Gupta Xiaojiang Chen Xin Wang 106 1,148 0 30 Aug 2020
TF-NAS: Rethinking Three Search Freedoms of Latency-Constrained Differentiable Neural Architecture Search Yibo Hu Xiang Wu Ran He 58 46 0 12 Aug 2020
Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds Jordan T. Ash Chicheng Zhang A. Krishnamurthy John Langford Alekh Agarwal BDL UQCV 88 777 0 09 Jun 2019
LambdaOpt: Learn to Regularize Recommender Models in Finer Levels Yihong Chen B. Chen Xiangnan He Chen Gao Yong Li Jian-Guang Lou Yue Wang 60 46 0 28 May 2019
Learning Loss for Active Learning Donggeun Yoo In So Kweon UQCV 85 662 0 09 May 2019
Variational Adversarial Active Learning Samarth Sinha Sayna Ebrahimi Trevor Darrell GAN DRL VLM SSL 122 579 0 31 Mar 2019
Self-Tuning Networks: Bilevel Optimization of Hyperparameters using Structured Best-Response Functions M. Mackay Paul Vicol Jonathan Lorraine David Duvenaud Roger C. Grosse 78 164 0 07 Mar 2019
Dynamic Ensemble Active Learning: A Non-Stationary Bandit with Expert Advice Kunkun Pang Mingzhi Dong Yang Wu Timothy M. Hospedales 52 18 0 29 Sep 2018
DARTS: Differentiable Architecture Search Hanxiao Liu Karen Simonyan Yiming Yang 204 4,366 0 24 Jun 2018
Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels Zhilu Zhang M. Sabuncu NoLa 85 2,610 0 20 May 2018
Understanding Black-box Predictions via Influence Functions Pang Wei Koh Percy Liang TDI 216 2,905 0 14 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 829 11,943 0 09 Mar 2017
Deep Bayesian Active Learning with Image Data Y. Gal Riashat Islam Zoubin Ghahramani BDL UQCV 73 1,739 0 08 Mar 2017
Generative Adversarial Active Learning Jia Jie Zhu José Bento GAN 63 185 0 25 Feb 2017
An overview of gradient descent optimization algorithms Sebastian Ruder ODL 206 6,202 0 15 Sep 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,426 0 10 Dec 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.0K 150,312 0 22 Dec 2014