Prioritized training on points that are learnable, worth learning, and not yet learned (workshop version)

6 July 2021

Papers citing "Prioritized training on points that are learnable, worth learning, and not yet learned (workshop version)"

4 / 4 papers shown

Title
Learning functional sections in medical conversations: iterative pseudo-labeling and human-in-the-loop approach Mengqian Wang Ilya Valmianski X. Amatriain Anitha Kannan 18 2 0 06 Oct 2022
Test Distribution-Aware Active Learning: A Principled Approach Against Distribution Shift and Outliers Andreas Kirsch Tom Rainforth Y. Gal OOD TTA 24 22 0 22 Jun 2021
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 226 4,453 0 23 Jan 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,109 0 06 Jun 2015