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cs.LG2026
Accelerated Gradient Descent for Faster Convergence with Minimal Overhead
Manuel Graca, L. Miguel Silveira, Arlindo Oliveira +1
In this paper, we present CT-AGD (Curvature-Tuned Accelerated Gradient Descent), an optimization method for non-convex optimization problems in deep learning training tasks. CT-AGD…
cs.LG2023
Improving Address Matching using Siamese Transformer Networks
André V. Duarte, Arlindo L. Oliveira
Matching addresses is a critical task for companies and post offices involved in the processing and delivery of packages. The ramifications of incorrectly delivering a package to t…
cs.LG2022
Pretraining the Vision Transformer using self-supervised methods for vision based Deep Reinforcement Learning
Manuel Goulão, Arlindo L. Oliveira
The Vision Transformer architecture has shown to be competitive in the computer vision (CV) space where it has dethroned convolution-based networks in several benchmarks. Neverthel…