A Survey of Deep Active Learning

30 August 2020

Pengzhen Ren

Yun Xiao

Xiaojun Chang

Po-Yao (Bernie) Huang

Papers citing "A Survey of Deep Active Learning"

50 / 141 papers shown

Title
JaxSGMC: Modular stochastic gradient MCMC in JAX Stephan Thaler Paul Fuchs Ana Cukarska Julija Zavadlav BDL 48 2 0 16 May 2025
Combining Abstract Argumentation and Machine Learning for Efficiently Analyzing Low-Level Process Event Streams Bettina Fazzinga Sergio Flesca F. Furfaro Luigi Pontieri Francesco Scala 29 0 0 09 May 2025
Enhancing Treatment Effect Estimation via Active Learning: A Counterfactual Covering Perspective Hechuan Wen Tong Chen Mingming Gong Li Kheng Chai S. Sadiq Hongzhi Yin CML 62 0 0 08 May 2025
Balancing Accuracy, Calibration, and Efficiency in Active Learning with Vision Transformers Under Label Noise Moseli Motsóehli Hope Mogale Kyungim Baek 43 0 0 07 May 2025
SELECT: A Submodular Approach for Active LiDAR Semantic Segmentation Ruiyu Mao Sarthak Kumar Maharana Xulong Tang Yunhui Guo 3DPC 17 0 0 06 May 2025
TActiLE: Tiny Active LEarning for wearable devices Massimo Pavan Claudio Galimberti Manuel Roveri 24 0 0 02 May 2025
JailbreaksOverTime: Detecting Jailbreak Attacks Under Distribution Shift Julien Piet Xiao Huang Dennis Jacob Annabella Chow Maha Alrashed Geng Zhao Zhanhao Hu Chawin Sitawarin Basel Alomair David Wagner AAML 70 0 0 28 Apr 2025
Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments Yun Qu Wenjie Wang Yixiu Mao Yiqin Lv Xiangyang Ji TTA 93 0 0 27 Apr 2025
Co-Training with Active Contrastive Learning and Meta-Pseudo-Labeling on 2D Projections for Deep Semi-Supervised Learning David Aparco-Cardenas Jancarlo F. Gomes Alexandre X. Falcão Pedro J. de Rezende 48 0 0 25 Apr 2025
Enhancing Multimodal In-Context Learning for Image Classification through Coreset Optimization Huiyi Chen Jiawei Peng Kaihua Tang Xin Geng Xu Yang 32 0 0 19 Apr 2025
Learning Nash Equilibrial Hamiltonian for Two-Player Collision-Avoiding Interactions Lei Zhang Siddharth Das Tanner Merry Wenlong Zhang Yi Ren 54 0 0 10 Mar 2025
Rethinking Epistemic and Aleatoric Uncertainty for Active Open-Set Annotation: An Energy-Based Approach Chen-Chen Zong Sheng-Jun Huang EDL 92 0 0 27 Feb 2025
Vision-Language In-Context Learning Driven Few-Shot Visual Inspection Model Shiryu Ueno Yoshikazu Hayashi Shunsuke Nakatsuka Yusei Yamada Hiroaki Aizawa K. Kato MLLM VLM 107 0 0 13 Feb 2025
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation M. Valiuddin R. V. Sloun C.G.A. Viviers Peter H. N. de With Fons van der Sommen UQCV 93 1 0 25 Nov 2024
AutoAL: Automated Active Learning with Differentiable Query Strategy Search Yifeng Wang Xueying Zhan Siyu Huang OOD 40 0 0 17 Oct 2024
MF-LAL: Drug Compound Generation Using Multi-Fidelity Latent Space Active Learning Peter Eckmann D. Wu G. Heinzelmann Michael K. Gilson Rose Yu AI4CE 49 0 0 15 Oct 2024
Dirichlet-Based Coarse-to-Fine Example Selection For Open-Set Annotation Ye-Wen Wang Chen-Chen Zong Ming-Kun Xie Sheng-Jun Huang 25 0 0 26 Sep 2024
Active learning for efficient data selection in radio-signal based positioning via deep learning Vincent Corlay Milan Courcoux-Caro 18 0 0 21 Aug 2024
Robust Offline Active Learning on Graphs Yuanchen Wu Yubai Yuan OffRL 23 0 0 15 Aug 2024
Probing Perfection: The Relentless Art of Meddling for Pulmonary Airway Segmentation from HRCT via a Human-AI Collaboration Based Active Learning Method Shiyi Wang Yang Nan Sheng Zhang Federico Felder Xiaodan Xing Yingying Fang Javier Del Ser Simon L F Walsh Guang Yang 33 3 0 03 Jul 2024
CALICO: Confident Active Learning with Integrated Calibration L. S. Querol Hajime Nagahara Hideaki Hayashi 30 0 0 02 Jul 2024
Assistive Image Annotation Systems with Deep Learning and Natural Language Capabilities: A Review Moseli Motsóehli VLM 3DV 37 0 0 28 Jun 2024
DLP: towards active defense against backdoor attacks with decoupled learning process Zonghao Ying Bin Wu AAML 46 6 0 18 Jun 2024
Online Bandit Learning with Offline Preference Data for Improved RLHF Akhil Agnihotri Rahul Jain Deepak Ramachandran Zheng Wen OffRL 42 2 0 13 Jun 2024
Diversified Batch Selection for Training Acceleration Feng Hong Yueming Lyu Jiangchao Yao Ya Zhang Ivor W. Tsang Yanfeng Wang 42 4 0 07 Jun 2024
Enabling Visual Recognition at Radio Frequency Haowen Lai Gaoxiang Luo Yifei Liu Mingmin Zhao 38 2 0 29 May 2024
Edge-guided and Class-balanced Active Learning for Semantic Segmentation of Aerial Images Lianlei Shan Weiqiang Wang Ke Lv Bin Luo VLM 30 1 0 28 May 2024
A Unified Approach Towards Active Learning and Out-of-Distribution Detection Sebastian Schmidt Leonard Schenk Leo Schwinn Stephan Günnemann 58 3 0 18 May 2024
Combining X-Vectors and Bayesian Batch Active Learning: Two-Stage Active Learning Pipeline for Speech Recognition O. Kundacina V. Vincan D. Mišković BDL 104 0 0 03 May 2024
Uncertainty for Active Learning on Graphs Dominik Fuchsgruber Tom Wollschlager Bertrand Charpentier Antonio Oroz Stephan Günnemann 46 10 0 02 May 2024
Progressive Knowledge Graph Completion Jiayi Li Ruilin Luo Jiaqi Sun Jing Xiao Yujiu Yang 32 1 0 15 Apr 2024
Uncertainty in Graph Neural Networks: A Survey Fangxin Wang Yuqing Liu Kay Liu Yibo Wang Sourav Medya Philip S. Yu AI4CE 53 8 0 11 Mar 2024
Active Statistical Inference Tijana Zrnic Emmanuel J. Candès 26 10 0 05 Mar 2024
Value Preferences Estimation and Disambiguation in Hybrid Participatory Systems Enrico Liscio Luciano Cavalcante Siebert Catholijn M. Jonker P. Murukannaiah 40 4 0 26 Feb 2024
Direct Acquisition Optimization for Low-Budget Active Learning Zhuokai Zhao Yibo Jiang Yuxin Chen 41 1 0 08 Feb 2024
Uncertainty quantification for probabilistic machine learning in earth observation using conformal prediction Geethen Singh Glenn Moncrieff Zander Venter Kerry Cawse-Nicholson Jasper Slingsby Tamara B. Robinson 34 14 0 12 Jan 2024
I-CEE: Tailoring Explanations of Image Classification Models to User Expertise Yao Rong Peizhu Qian Vaibhav Unhelkar Enkelejda Kasneci 36 0 0 19 Dec 2023
Semi-supervised Active Learning for Video Action Detection Aayush Singh A. J. Rana Akash Kumar Shruti Vyas Yogesh S Rawat 36 7 0 12 Dec 2023
FisherRF: Active View Selection and Uncertainty Quantification for Radiance Fields using Fisher Information Wen Jiang Boshu Lei Kostas Daniilidis 3DGS 26 32 0 29 Nov 2023
Direct Preference-Based Evolutionary Multi-Objective Optimization with Dueling Bandit Tian Huang Ke Li Ke Li 31 1 0 23 Nov 2023
More Samples or More Prompts? Exploring Effective In-Context Sampling for LLM Few-Shot Prompt Engineering Bingsheng Yao Guiming Hardy Chen Ruishi Zou Yuxuan Lu Jiachen Li Shao Zhang Yisi Sang Sijia Liu James A. Hendler Dakuo Wang 45 13 0 16 Nov 2023
Anchor Points: Benchmarking Models with Much Fewer Examples Rajan Vivek Kawin Ethayarajh Diyi Yang Douwe Kiela ALM 29 22 0 14 Sep 2023
Optimal Sample Selection Through Uncertainty Estimation and Its Application in Deep Learning Yong Lin Chen Liu Chen Ye Qing Lian Yuan Yao Tong Zhang 29 4 0 05 Sep 2023
Deep Dive into the Language of International Relations: NLP-based Analysis of UNESCO's Summary Records Joanna Wojciechowska Mateusz Sypniewski Maria Śmigielska Igor Kamiñski Emilia Wisnios Hanna Schreiber Bartosz Pieliñski 32 2 0 31 Jul 2023
Deep Learning Approaches for Data Augmentation in Medical Imaging: A Review Aghiles Kebaili J. Lapuyade-Lahorgue S. Ruan MedIm 26 144 0 24 Jul 2023
TableGPT: Towards Unifying Tables, Nature Language and Commands into One GPT Liangyu Zha Junlin Zhou Liyao Li Rui Wang Qingyi Huang ... Xing-yan Deng Jinfeng Xu Haobo Wang Gang Chen Jun Zhao RALM LMTD 34 43 0 17 Jul 2023
Bayesian inference for data-efficient, explainable, and safe robotic motion planning: A review Chengmin Zhou Chao Wang Haseeb Hassan H. Shah Bingding Huang Pasi Fränti 3DV 40 3 0 16 Jul 2023
Training Ensembles with Inliers and Outliers for Semi-supervised Active Learning Vladan Stojnić Zakaria Laskar Giorgos Tolias 39 0 0 07 Jul 2023
IAdet: Simplest human-in-the-loop object detection Franco Marchesoni-Acland Gabriele Facciolo VLM 62 1 0 04 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 G. Jamieson Robert D. Nowak VLM 38 10 0 16 Jun 2023