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Capsule networks do not need to model everything
TEP-ones: A simple yet effective approach for transferability estimation of pruned backbones
Denoising Diffusion Probabilistic Model for Point Cloud Compression at Low Bit-Rates
Efficient Progressive Image Compression with Variance-Aware Masking
Say My Name: a Model’s Bias Discovery Framework
STanH: Parametric Quantization for Variable Rate Learned Image Compression
Unsupervised Learning of Unbiased Visual Representations
WiGNet: Windowed Vision Graph Neural Network
ALICE: Adapt your Learnable Image Compression modEl for variable bitrates
Domain Adaptation for Learned Image Compression with Supervised Adapters
GABIC: GRAPH-BASED ATTENTION BLOCK FOR IMAGE COMPRESSION
A Differentiable Entropy Model for Learned Image Compression
A round-trip journey in pruned artificial neural networks
Disentangling private classes through regularization
Neural network-derived perfusion maps: A model-free approach to computed tomography perfusion in patients with acute ischemic stroke
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
Applications of AI and HPC in the Health Domain
Dysplasia Grading of Colorectal Polyps Through Convolutional Neural Network Analysis of Whole Slide Images
LOss-Based SensiTivity rEgulaRization: Towards deep sparse neural networks
SeReNe: Sensitivity-Based Regularization of Neurons for Structured Sparsity in Neural Networks
The DeepHealth toolkit: A key European free and open-source software for deep learning and computer vision ready to exploit heterogeneous HPC and cloud architectures
To update or not to update? Neurons at equilibrium in deep models
Bridging the gap between debiasing and privacy for deep learning
Capsule Networks with Routing Annealing
End: Entangling and Disentangling deep representations for bias correction
HEMP: High-order entropy minimization for neural network compression
ON THE ROLE OF STRUCTURED PRUNING FOR NEURAL NETWORK COMPRESSION
UNITOPATHO, A LABELED HISTOPATHOLOGICAL DATASET FOR COLORECTAL POLYPS CLASSIFICATION AND ADENOMA DYSPLASIA GRADING
A non-discriminatory approach to ethical deep learning
Delving in the loss landscape to embed robust watermarks into neural networks
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
Post-synaptic Potential Regularization Has Potential
Take a ramble into solution spaces for classification problems in neural networks
Learning sparse neural networks via sensitivity-driven regularization