Boosting Active Learning via Improving Test Performance

10 December 2021

Pengkun Yang

Siyu Huang

Papers citing "Boosting Active Learning via Improving Test Performance"

20 / 20 papers shown

Title
Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval Leah Bar Boaz Lerner N. Darshan Rami Ben-Ari VLM 80 1 0 03 Dec 2024
Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation Arvind Murari Vepa Zukang Yang Andrew Choi Jungseock Joo Fabien Scalzo Yizhou Sun 3DPC 81 1 0 24 Nov 2024
LPLgrad: Optimizing Active Learning Through Gradient Norm Sample Selection and Auxiliary Model Training Shreen Gul Mohamed Elmahallawy S. Madria Ardhendu Tripathy 64 0 0 20 Nov 2024
Deep Active Learning with Manifold-preserving Trajectory Sampling Yingrui Ji Vijaya Sindhoori Kaza Nishanth Artham Tianyang Wang 34 1 0 21 Oct 2024
Selective Annotation via Data Allocation: These Data Should Be Triaged to Experts for Annotation Rather Than the Model Chen Huang Yang Deng Wenqiang Lei Jiancheng Lv Ido Dagan 48 4 0 20 May 2024
A Survey on Deep Active Learning: Recent Advances and New Frontiers Dongyuan Li Zhen Wang Yankai Chen Renhe Jiang Weiping Ding Manabu Okumura 46 20 0 01 May 2024
Fairness Without Harm: An Influence-Guided Active Sampling Approach Jinlong Pang Jialu Wang Zhaowei Zhu Yuanshun Yao Chen Qian Yang Liu TDI 46 2 0 20 Feb 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 29 12 0 05 Dec 2023
A comprehensive survey on deep active learning in medical image analysis Haoran Wang Q. Jin Shiman Li Siyu Liu Manning Wang Zhijian Song VLM 46 23 0 22 Oct 2023
How To Overcome Confirmation Bias in Semi-Supervised Image Classification By Active Learning Sandra Gilhuber Rasmus Hvingelby Mang Ling Ada Fok Thomas Seidl 31 1 0 16 Aug 2023
SLPT: Selective Labeling Meets Prompt Tuning on Label-Limited Lesion Segmentation Fan Bai K. Yan Xiaoyu Bai Xinyu Mao Xiaoli Yin Jingren Zhou Yu Shi Le Lu Max Q.-H. Meng VLM 25 2 0 09 Aug 2023
Confidence-based federated distillation for vision-based lane-centering Yitao Chen Dawei Chen Haoxin Wang Kyungtae Han Mingbi Zhao FedML 21 3 0 05 Jun 2023
Controllable Textual Inversion for Personalized Text-to-Image Generation Jianan Yang Haobo Wang Yanming Zhang Rui Xiao Sai Wu Gang Chen J. Zhao DiffM 29 12 0 11 Apr 2023
Deep Active Learning in the Presence of Label Noise: A Survey Moseli Motsóehli Kyungim Baek NoLa VLM 38 5 0 22 Feb 2023
Active Learning Guided by Efficient Surrogate Learners Yunpyo An Suyeong Park K. Kim 19 1 0 07 Jan 2023
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 41 19 0 27 Nov 2022
Deep Active Learning with Noise Stability Xingjian Li Pengkun Yang Mingkun Xu Xueying Zhan Tianyang Wang Dejing Dou Chengzhong Xu UQCV 32 12 0 26 May 2022
A Comparative Survey of Deep Active Learning Xueying Zhan Qingzhong Wang Kuan-Hao Huang Haoyi Xiong Dejing Dou Antoni B. Chan FedML HAI 24 105 0 25 Mar 2022
Piecewise convexity of artificial neural networks Blaine Rister Daniel L Rubin AAML ODL 28 31 0 17 Jul 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,145 0 06 Jun 2015