Investigating Active Learning and Meta-Learning for Iterative Peptide Design

20 November 2019

Papers citing "Investigating Active Learning and Meta-Learning for Iterative Peptide Design"

5 / 5 papers shown

Title
Deep Learning in Protein Structural Modeling and Design Wenhao Gao S. Mahajan Jeremias Sulam Jeffrey J. Gray 29 159 0 16 Jul 2020
Discovery of Self-Assembling $π$ -Conjugated Peptides by Active Learning-Directed Coarse-Grained Molecular Simulation Kirill Shmilovich R. Mansbach Hythem Sidky Olivia E. Dunne S. Panda J. Tovar Andrew L. Ferguson 25 76 0 27 Jan 2020
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML Aniruddh Raghu M. Raghu Samy Bengio Oriol Vinyals 186 640 0 19 Sep 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 365 11,700 0 09 Mar 2017
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,145 0 06 Jun 2015