Task-Aware Variational Adversarial Active Learning

11 February 2020

Papers citing "Task-Aware Variational Adversarial Active Learning"

27 / 27 papers shown

Title
A Unified Approach Towards Active Learning and Out-of-Distribution Detection Sebastian Schmidt Leonard Schenk Leo Schwinn Stephan Günnemann 65 3 0 18 May 2024
Optimal Sample Selection Through Uncertainty Estimation and Its Application in Deep Learning Yong Lin Chen Liu Chen Ye Qing Lian Yuan Yao Tong Zhang 32 4 0 05 Sep 2023
Exploiting Counter-Examples for Active Learning with Partial labels Fei Zhang Yunjie Ye Lei Feng Zhongwen Rao Jieming Zhu Marcus Kalander Chen Gong Jianye Hao Bo Han 33 0 0 14 Jul 2023
Training Ensembles with Inliers and Outliers for Semi-supervised Active Learning Vladan Stojnić Zakaria Laskar Giorgos Tolias 42 0 0 07 Jul 2023
Training-Free Neural Active Learning with Initialization-Robustness Guarantees Apivich Hemachandra Zhongxiang Dai Jasraj Singh See-Kiong Ng K. H. Low AAML 49 6 0 07 Jun 2023
Leveraging Importance Weights in Subset Selection Gui Citovsky Giulia DeSalvo Sanjiv Kumar Srikumar Ramalingam Afshin Rostamizadeh Yunjuan Wang 45 3 0 28 Jan 2023
Navigating the Pitfalls of Active Learning Evaluation: A Systematic Framework for Meaningful Performance Assessment Carsten T. Lüth Till J. Bungert Lukas Klein Paul F. Jaeger 29 10 0 25 Jan 2023
Exploring Active 3D Object Detection from a Generalization Perspective Yadan Luo Zhuoxiao Chen Zijian Wang Xin Yu Zi Huang Mahsa Baktash 3DPC 39 27 0 23 Jan 2023
TAAL: Test-time Augmentation for Active Learning in Medical Image Segmentation Mélanie Gaillochet Christian Desrosiers H. Lombaert 26 11 0 16 Jan 2023
MoBYv2AL: Self-supervised Active Learning for Image Classification Razvan Caramalau Binod Bhattarai Danail Stoyanov Tae-Kyun Kim SSL 35 7 0 04 Jan 2023
Pixel is All You Need: Adversarial Trajectory-Ensemble Active Learning for Salient Object Detection Zhenyu Wu Lin Wang Wen Wang Qing Xia Chenglizhao Chen Aimin Hao Shuo Li AAML 48 5 0 13 Dec 2022
Deep Active Learning for Multi-Label Classification of Remote Sensing Images Lars Möllenbrok Gencer Sumbul Begüm Demir 18 8 0 02 Dec 2022
Deep Active Learning for Computer Vision: Past and Future Rinyoichi Takezoe Xu Liu Shunan Mao Marco Tianyu Chen Zhanpeng Feng Shiliang Zhang Xiaoyu Wang VLM 43 19 0 27 Nov 2022
Responsible Active Learning via Human-in-the-loop Peer Study Yu Cao Jingya Wang Baosheng Yu Dacheng Tao 25 0 0 24 Nov 2022
Knowledge-Aware Federated Active Learning with Non-IID Data Yu Cao Ye-ling Shi Baosheng Yu Jingya Wang Dacheng Tao FedML 28 17 0 24 Nov 2022
TiDAL: Learning Training Dynamics for Active Learning Seong Min Kye Kwanghee Choi Hyeongmin Byun Buru Chang 36 13 0 13 Oct 2022
Tyger: Task-Type-Generic Active Learning for Molecular Property Prediction Kuangqi Zhou Kaixin Wang Jiashi Feng Jian Tang Tingyang Xu Xinchao Wang 31 1 0 23 May 2022
Active Learning by Feature Mixing Amin Parvaneh Ehsan Abbasnejad Damien Teney Reza Haffari Anton Van Den Hengel Javen Qinfeng Shi 35 90 0 14 Mar 2022
Learning Distinctive Margin toward Active Domain Adaptation Ming-Kun Xie Yuxi Li Yabiao Wang Zekun Luo Zhenye Gan Zhongyi Sun M. Chi Chengjie Wang Pei Wang 41 31 0 11 Mar 2022
Federated Active Learning (F-AL): an Efficient Annotation Strategy for Federated Learning J. Ahn Yeeun Ma Seoyun Park Cheolwoo You FedML 55 22 0 01 Feb 2022
CPRAL: Collaborative Panoptic-Regional Active Learning for Semantic Segmentation Yu Qiao Jincheng Zhu Chengjiang Long Zeyao Zhang Yuxin Wang Z. Du Xin Yang 43 13 0 11 Dec 2021
Towards Fewer Annotations: Active Learning via Region Impurity and Prediction Uncertainty for Domain Adaptive Semantic Segmentation Binhui Xie Longhui Yuan Shuang Li Chi Harold Liu Xinjing Cheng UQCV 39 89 0 25 Nov 2021
Reducing Label Effort: Self-Supervised meets Active Learning Javad Zolfaghari Bengar Joost van de Weijer Bartlomiej Twardowski Bogdan Raducanu VLM 29 60 0 25 Aug 2021
Batch Active Learning at Scale Gui Citovsky Giulia DeSalvo Claudio Gentile Lazaros Karydas Anand Rajagopalan Afshin Rostamizadeh Sanjiv Kumar 35 151 0 29 Jul 2021
Semi-Supervised Active Learning with Temporal Output Discrepancy Siyu Huang Tianyang Wang Haoyi Xiong Jun Huan Dejing Dou UQCV 30 66 0 29 Jul 2021
Deep Active Learning for Joint Classification & Segmentation with Weak Annotator Soufiane Belharbi Ismail Ben Ayed Luke McCaffrey Eric Granger VLM 23 30 0 10 Oct 2020
Towards Robust and Reproducible Active Learning Using Neural Networks Prateek Munjal Nasir Hayat Munawar Hayat J. Sourati Shadab Khan UQCV 32 67 0 21 Feb 2020