Summary of Focused Active Learning For Histopathological Image Classification, by Arne Schmidt et al.
Focused Active Learning for Histopathological Image Classificationby Arne Schmidt, Pablo Morales-Álvarez, Lee A.D. Cooper, Lee…
Focused Active Learning for Histopathological Image Classificationby Arne Schmidt, Pablo Morales-Álvarez, Lee A.D. Cooper, Lee…
Active learning for efficient annotation in precision agriculture: a use-case on crop-weed semantic segmentationby Bart…
Modular Deep Active Learning Framework for Image Annotation: A Technical Report for the Ophthalmo-AI Projectby…
ActiveAD: Planning-Oriented Active Learning for End-to-End Autonomous Drivingby Han Lu, Xiaosong Jia, Yichen Xie, Wenlong…
STAR: Constraint LoRA with Dynamic Active Learning for Data-Efficient Fine-Tuning of Large Language Modelsby Linhai…
Value Preferences Estimation and Disambiguation in Hybrid Participatory Systemsby Enrico Liscio, Luciano C. Siebert, Catholijn…
ELAD: Explanation-Guided Large Language Models Active Distillationby Yifei Zhang, Bo Pan, Chen Ling, Yuntong Hu,…
Role-Playing Simulation Games using ChatGPTby Rita Stampfl, Igor Ivkić, Barbara GeyerFirst submitted to arxiv on:…
Empowering Language Models with Active Inquiry for Deeper Understandingby Jing-Cheng Pang, Heng-Bo Fan, Pengyuan Wang,…
Breaking the Barrier: Selective Uncertainty-based Active Learning for Medical Image Segmentationby Siteng Ma, Haochang Wu,…