165 citations · 536 across the 24 of their papers we have counts for
3 papers · 1 filter
Retraining-Free Depth Pruning of Vision Transformers: A Cross Domain Study of Layer Redundancy
Alessandro Viespoli, Loris Nanni
Transformer architectures have achieved strong results in natural language processing and computer vision, but their deployment is limited by high computational, memory and storage…
Bridging Human and Model Attention: Explainability Analysis of CNN, Mamba, and ViT Architectures with Gaze-Based Validation
Marco Stefani, Edoardo Parpaiola, Matteo Bino +5
High-risk applications of deep learning require precise characterization of model decision-making. We conduct a systematic explainability evaluation across Convolutional Neural Net…
A Progressive Design Study of Visual Encoders and Value Estimation for Replay-Free Parallelized Q-Learning
Taha Shieenavaz, Shabnam Zareshahraki, Loris Nanni
Replay-free parallelized Q-learning removes the large experience replay buffers and target networks used by conventional deep Q-learning, but the role of network architecture in th…