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Enzo Tartaglione
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A Differentiable Entropy Model for Learned Image Compression
Two is Better than One: Achieving High-Quality 3D Scene Modeling with a NeRF Ensemble
Shannon Strikes Again! Entropy-based Pruning in Deep Neural Networks for Transfer Learning under Extreme Memory and Computation Budgets
Unbiased Supervised Contrastive Learning
A Two-Step Radiologist-Like Approach for Covid-19 Computer-Aided Diagnosis from Chest X-Ray Images
Loss-based sensitivity regularization: towards deep sparse neural networks
Method and apparatus for pruning neural networks
REM: Routing Entropy Minimization for Capsule Networks
To update or not to update? Neurons at equilibrium in deep models
Unsupervised Learning of Unbiased Visual Representations
Bridging the gap between debiasing and privacy for deep learning
Capsule networks with routing annealing
EnD: Entangling and Disentangling deep representations for bias correction
On the role of structured pruning for neural network compression
Serene: Sensitivity-based regularization of neurons for structured sparsity in neural networks
UniToPatho, a labeled histopathological dataset for colorectal polyps classification and adenoma dysplasia grading
Pruning artificial neural networks: A way to find well-generalizing, high-entropy sharp minima
Unveiling covid-19 from chest x-ray with deep learning: a hurdles race with small data
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