3 papers
cs.LG2025
Online Training and Pruning of Deep Reinforcement Learning Networks
Valentin Frank Ingmar Guenter, Athanasios Sideris
Scaling deep neural networks (NN) of reinforcement learning (RL) algorithms has been shown to enhance performance when feature extraction networks are used but the gained performan…
cs.LG2025
Complexity-Aware Training of Deep Neural Networks for Optimal Structure Discovery
Valentin Frank Ingmar Guenter, Athanasios Sideris
We propose a novel algorithm for combined unit and layer pruning of deep neural networks that functions during training and without requiring a pre-trained network to apply. Our al…
cs.LG2024
Concurrent Training and Layer Pruning of Deep Neural Networks
Valentin Frank Ingmar Guenter, Athanasios Sideris
We propose an algorithm capable of identifying and eliminating irrelevant layers of a neural network during the early stages of training. In contrast to weight or filter-level prun…