A New Reliable & Parsimonious Learning Strategy Comprising Two Layers of Gaussian Processes, to Address…
Network architecture search of X-ray based scientific applicationsby Adarsha Balaji, Ramyad Hadidi, Gregory Kollmer, Mohammed…
Generalized Population-Based Training for Hyperparameter Optimization in Reinforcement Learningby Hui Bai, Ran ChengFirst submitted to…
Post-Hoc Reversal: Are We Selecting Models Prematurely?by Rishabh Ranjan, Saurabh Garg, Mrigank Raman, Carlos Guestrin,…
Hyperparameter Selection in Continual Learningby Thomas L. Lee, Sigrid Passano Hellan, Linus Ericsson, Elliot J.…
Streamlining Ocean Dynamics Modeling with Fourier Neural Operators: A Multiobjective Hyperparameter and Architecture Optimization Approachby…
The Unreasonable Effectiveness Of Early Discarding After One Epoch In Neural Network Hyperparameter Optimizationby Romain…
Rolling the dice for better deep learning performance: A study of randomness techniques in deep…
BiSHop: Bi-Directional Cellular Learning for Tabular Data with Generalized Sparse Modern Hopfield Modelby Chenwei Xu,…
K-percent Evaluation for Lifelong RLby Golnaz Mesbahi, Parham Mohammad Panahi, Olya Mastikhina, Martha White, Adam…