$Warm Start Active Learning with Proxy Labels \& Selection via Semi-Supervised Fine-Tuning$

Warm Start Active Learning with Proxy Labels \& Selection via Semi-Supervised Fine-Tuning

13 September 2022

Papers citing "Warm Start Active Learning with Proxy Labels \& Selection via Semi-Supervised Fine-Tuning"

7 / 7 papers shown

Title
ProtoAL: Interpretable Deep Active Learning with prototypes for medical imaging Iury B. de A. Santos André C.P.L.F. de Carvalho MedIm 16 1 0 06 Apr 2024
Correlation-aware active learning for surgery video segmentation Fei Wu Pablo Márquez-Neila Mingyi Zheng Hedyeh Rafii-Tari Raphael Sznitman 14 3 0 15 Nov 2023
Hybrid Representation-Enhanced Sampling for Bayesian Active Learning in Musculoskeletal Segmentation of Lower Extremities Ganping Li Yoshito Otake Mazen Soufi M. Taniguchi Masahide Yagi N. Ichihashi Keisuke Uemura Masaki Takao Nobuhiko Sugano Yoshinobu Sato 8 3 0 26 Jul 2023
OpenAL: An Efficient Deep Active Learning Framework for Open-Set Pathology Image Classification Linhao Qu Yingfan Ma Zhiwei Yang Manning Wang Zhijian Song VLM LM&MA 15 8 0 11 Jul 2023
Cold-start Active Learning through Self-supervised Language Modeling Michelle Yuan Hsuan-Tien Lin Jordan L. Boyd-Graber 104 180 0 19 Oct 2020
3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training Yingda Xia Fengze Liu D. Yang Jinzheng Cai Lequan Yu Zhuotun Zhu Daguang Xu Alan Yuille H. Roth 164 118 0 29 Nov 2018
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 245 9,042 0 06 Jun 2015