Theoretical Understanding of the Information Flow on Continual Learning Performance

26 April 2022

Papers citing "Theoretical Understanding of the Information Flow on Continual Learning Performance"

5 / 5 papers shown

Title
Information Consistent Pruning: How to Efficiently Search for Sparse Networks? Soheil Gharatappeh Salimeh Yasaei Sekeh 59 0 0 28 Jan 2025
Towards Explaining Deep Neural Network Compression Through a Probabilistic Latent Space Mahsa Mozafari-Nia Salimeh Yasaei Sekeh 25 0 0 29 Feb 2024
Formalizing the Generalization-Forgetting Trade-off in Continual Learning Krishnan Raghavan Prasanna Balaprakash CLL 59 30 0 28 Sep 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 496 11,727 0 09 Mar 2017
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 310 2,896 0 15 Sep 2016