Adversarial Sampling for Active Learning

20 August 2018

Radu Timofte

Papers citing "Adversarial Sampling for Active Learning"

24 / 24 papers shown

Title
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
Towards Comparable Active Learning Thorben Werner Johannes Burchert Lars Schmidt-Thieme 81 0 0 24 Feb 2025
AnchorAL: Computationally Efficient Active Learning for Large and Imbalanced Datasets Pietro Lesci Andreas Vlachos 31 2 0 08 Apr 2024
An Empirical Study on the Efficacy of Deep Active Learning for Image Classification Yu Li Mu-Hwa Chen Yannan Liu Daojing He Qiang Xu 28 9 0 30 Nov 2022
Open Long-Tailed Recognition in a Dynamic World Ziwei Liu Zhongqi Miao Xiaohang Zhan Jiayun Wang Boqing Gong Stella X. Yu VLM 31 18 0 17 Aug 2022
Analysis of Self-Supervised Learning and Dimensionality Reduction Methods in Clustering-Based Active Learning for Speech Emotion Recognition Einari Vaaras Manu Airaksinen Okko Rasanen 17 5 0 21 Jun 2022
Source Domain Subset Sampling for Semi-Supervised Domain Adaptation in Semantic Segmentation Daehan Kim Min-seok Seo Jinsun Park Dong-Geol Choi TTA 32 3 0 30 Apr 2022
Human-Centric Artificial Intelligence Architecture for Industry 5.0 Applications Jovze M. Rovzanec I. Novalija Patrik Zajec K. Kenda Hooman Tavakoli ... G. Sofianidis Spyros Theodoropoulos Blavz Fortuna Dunja Mladenić John Soldatos 3DV AI4CE 32 119 0 21 Mar 2022
Towards General and Efficient Active Learning Yichen Xie M. Tomizuka Wei Zhan VLM 35 10 0 15 Dec 2021
CPRAL: Collaborative Panoptic-Regional Active Learning for Semantic Segmentation Yu Qiao Jincheng Zhu Chengjiang Long Zeyao Zhang Yuxin Wang Z. Du Xin Yang 37 13 0 11 Dec 2021
Boosting Active Learning via Improving Test Performance Tianyang Wang Xingjian Li Pengkun Yang Guosheng Hu Xiangrui Zeng Siyu Huang Chengzhong Xu Min Xu 25 33 0 10 Dec 2021
Utilizing Active Machine Learning for Quality Assurance: A Case Study of Virtual Car Renderings in the Automotive Industry Patrick Hemmer Niklas Kühl Jakob Schöffer 15 4 0 18 Oct 2021
Annotation Cost Reduction of Stream-based Active Learning by Automated Weak Labeling using a Robot Arm Kanata Suzuki Taro Sunagawa Tomotake Sasaki Takashi Katoh 13 3 0 03 Oct 2021
OPAD: An Optimized Policy-based Active Learning Framework for Document Content Analysis Sumit Shekhar Bhanu Prakash Reddy Guda Ashutosh Chaubey Ishan Jindal Avanish Jain 30 0 0 01 Oct 2021
Semi-Supervised Active Learning with Temporal Output Discrepancy Siyu Huang Tianyang Wang Haoyi Xiong Jun Huan Dejing Dou UQCV 22 66 0 29 Jul 2021
MCDAL: Maximum Classifier Discrepancy for Active Learning Jae-Won Cho Dong-Jin Kim Yunjae Jung In So Kweon 14 46 0 23 Jul 2021
Supervised Anomaly Detection via Conditional Generative Adversarial Network and Ensemble Active Learning Zhi Chen Jiang Duan Li Kang Guoping Qiu AI4CE 45 31 0 24 Apr 2021
Consistency-based Active Learning for Object Detection Weiping Yu Sijie Zhu Taojiannan Yang C. L. P. Chen ObjD 20 50 0 18 Mar 2021
A Wholistic View of Continual Learning with Deep Neural Networks: Forgotten Lessons and the Bridge to Active and Open World Learning Martin Mundt Yongjun Hong Iuliia Pliushch Visvanathan Ramesh CLL 24 146 0 03 Sep 2020
Contextual Diversity for Active Learning Sharat Agarwal H. Arora Saket Anand Chetan Arora 24 160 0 13 Aug 2020
DEAL: Deep Evidential Active Learning for Image Classification Patrick Hemmer Niklas Kühl Jakob Schöffer 24 37 0 22 Jul 2020
Disentanglement based Active Learning S. SilpaV K. Adarsh S. Sumitra DRL 13 0 0 15 Dec 2019
Rethinking deep active learning: Using unlabeled data at model training Oriane Siméoni Mateusz Budnik Yannis Avrithis G. Gravier HAI 19 79 0 19 Nov 2019
Variational Adversarial Active Learning Samarth Sinha Sayna Ebrahimi Trevor Darrell GAN DRL VLM SSL 26 570 0 31 Mar 2019