1.8k citations · 2.9k across the 66 of their papers we have counts for
6 papers · 1 filter
Learning Rate Curriculum
Florinel-Alin Croitoru, Nicolae-Catalin Ristea, Radu Tudor Ionescu +1
Most curriculum learning methods require an approach to sort the data samples by difficulty, which is often cumbersome to perform. In this work, we propose a novel curriculum learn…
Curriculum Learning: A Survey
Petru Soviany, Radu Tudor Ionescu, Paolo Rota +1
Training machine learning models in a meaningful order, from the easy samples to the hard ones, using curriculum learning can provide performance improvements over the standard tra…
Adversarial Attacks on Deep Learning Systems for User Identification based on Motion Sensors
Cezara Benegui, Radu Tudor Ionescu
For the time being, mobile devices employ implicit authentication mechanisms, namely, unlock patterns, PINs or biometric-based systems such as fingerprint or face recognition. Whil…
A Generic and Model-Agnostic Exemplar Synthetization Framework for Explainable AI
Antonio Barbalau, Adrian Cosma, Radu Tudor Ionescu +1
With the growing complexity of deep learning methods adopted in practical applications, there is an increasing and stringent need to explain and interpret the decisions of such met…
Convolutional Neural Networks for User Identificationbased on Motion Sensors Represented as Image
Cezara Benegui, Radu Tudor Ionescu
In this paper, we propose a deep learning approach for smartphone user identification based on analyzing motion signals recorded by the accelerometer and the gyroscope, during a si…
Image Difficulty Curriculum for Generative Adversarial Networks (CuGAN)
Petru Soviany, Claudiu Ardei, Radu Tudor Ionescu +1
Despite the significant advances in recent years, Generative Adversarial Networks (GANs) are still notoriously hard to train. In this paper, we propose three novel curriculum learn…