Summary of Improving Classification Performance with Human Feedback: Label a Few, We Label the Rest, by Natan Vidra et al.
Improving Classification Performance With Human Feedback: Label a few, we label the restby Natan Vidra,…
Summary of Calpric: Inclusive and Fine-grain Labeling Of Privacy Policies with Crowdsourcing and Active Learning, by Wenjun Qiu et al.
Calpric: Inclusive and Fine-grain Labeling of Privacy Policies with Crowdsourcing and Active Learningby Wenjun Qiu,…
Summary of Harnessing the Power Of Beta Scoring in Deep Active Learning For Multi-label Text Classification, by Wei Tan et al.
Harnessing the Power of Beta Scoring in Deep Active Learning for Multi-Label Text Classificationby Wei…
Summary of Inconsistency-based Data-centric Active Open-set Annotation, by Ruiyu Mao et al.
Inconsistency-Based Data-Centric Active Open-Set Annotationby Ruiyu Mao, Ouyang Xu, Yunhui GuoFirst submitted to arxiv on:…
Summary of The Role Of Higher-order Cognitive Models in Active Learning, by Oskar Keurulainen et al.
The Role of Higher-Order Cognitive Models in Active Learningby Oskar Keurulainen, Gokhan Alcan, Ville KyrkiFirst…
Summary of Advancing Deep Active Learning & Data Subset Selection: Unifying Principles with Information-theory Intuitions, by Andreas Kirsch
Advancing Deep Active Learning & Data Subset Selection: Unifying Principles with Information-Theory Intuitionsby Andreas KirschFirst…
Summary of Zero-shot Active Learning Using Self Supervised Learning, by Abhishek Sinha et al.
Zero-shot Active Learning Using Self Supervised Learningby Abhishek Sinha, Shreya SinghFirst submitted to arxiv on:…
Summary of Towards Comparable Active Learning, by Thorben Werner et al.
Towards Comparable Active Learningby Thorben Werner, Johannes Burchert, Lars Schmidt-ThiemeFirst submitted to arxiv on: 30…