Sequential Graph Convolutional Network for Active Learning

Sequential Graph Convolutional Network for Active Learning

18 June 2020

Razvan Caramalau

Binod Bhattarai

Papers citing "Sequential Graph Convolutional Network for Active Learning"

12 / 12 papers shown

Title
HeAL3D: Heuristical-enhanced Active Learning for 3D Object Detection Esteban Rivera Surya Prabhakaran Markus Lienkamp VLM 85 0 0 01 May 2025
Towards Comparable Active Learning Thorben Werner Johannes Burchert Lars Schmidt-Thieme 70 0 0 24 Feb 2025
Image Classification with Deep Reinforcement Active Learning Mingyuan Jiu Xuguang Song H. Sahbi Shupan Li Yan Chen Wei Guo Lihua Guo Mingliang Xu VLM 24 0 0 31 Dec 2024
Differentially Private Active Learning: Balancing Effective Data Selection and Privacy Kristian Schwethelm Johannes Kaiser Jonas Kuntzer Mehmet Yigitsoy Daniel Rueckert Georgios Kaissis 27 0 0 01 Oct 2024
Think Twice Before Selection: Federated Evidential Active Learning for Medical Image Analysis with Domain Shifts Jiayi Chen Benteng Ma Hengfei Cui Yong-quan Xia OOD FedML 25 12 0 05 Dec 2023
Exploring Active 3D Object Detection from a Generalization Perspective Yadan Luo Zhuoxiao Chen Zijian Wang Xin Yu Zi Huang Mahsa Baktash 3DPC 19 26 0 23 Jan 2023
An Empirical Study on the Efficacy of Deep Active Learning for Image Classification Yu Li Mu-Hwa Chen Yannan Liu Daojing He Qiang Xu 23 9 0 30 Nov 2022
Active Learning for Point Cloud Semantic Segmentation via Spatial-Structural Diversity Reasoning Feifei Shao Yawei Luo Ping Liu Jie Chen Yezhou Yang Yulei Lu Junhao Xiao 3DPC 19 30 0 25 Feb 2022
Semi-Supervised Active Learning with Temporal Output Discrepancy Siyu Huang Tianyang Wang Haoyi Xiong Jun Huan Dejing Dou UQCV 20 65 0 29 Jul 2021
Active Learning for Graph Neural Networks via Node Feature Propagation Yuexin Wu Yichong Xu Aarti Singh Yiming Yang A. Dubrawski GNN AI4CE 46 63 0 16 Oct 2019
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 231 3,202 0 24 Nov 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,042 0 06 Jun 2015