arXiv Computer Science @arxiv_cs@social.cleverlibre.org

ASC-Net: Unsupervised Medical Anomaly Segmentation Using an Adversarial-based Selective Cutting Network. (arXiv:2112.09135v1 [eess.IV]) http://arxiv.org/abs/2112.09135

TAFIM: Targeted Adversarial Attacks against Facial Image Manipulations. (arXiv:2112.09151v1 [cs.CV]) http://arxiv.org/abs/2112.09151

An Empirical Investigation of the Role of Pre-training in Lifelong Learning. (arXiv:2112.09153v1 [cs.LG]) http://arxiv.org/abs/2112.09153

Implementation of a Binary Neural Network on a Passive Array of Magnetic Tunnel Junctions. (arXiv:2112.09159v1 [cs.ET]) http://arxiv.org/abs/2112.09159

Constraint-based graph network simulator. (arXiv:2112.09161v1 [cs.LG]) http://arxiv.org/abs/2112.09161

Nonvolatile plasmonics based on optically reprogrammable phase change materials. (arXiv:2112.09163v1 [physics.optics]) http://arxiv.org/abs/2112.09163

High Fidelity Visualization of What Your Self-Supervised Representation Knows About. (arXiv:2112.09164v1 [cs.LG]) http://arxiv.org/abs/2112.09164

ALEBk: Feasibility Study of Attention Level Estimation via Blink Detection applied to e-Learning. (arXiv:2112.09165v1 [cs.CV]) http://arxiv.org/abs/2112.09165

On Optimizing Interventions in Shared Autonomy. (arXiv:2112.09169v1 [cs.AI]) http://arxiv.org/abs/2112.09169

Causal Modeling With Infinitely Many Variables. (arXiv:2112.09171v1 [cs.AI]) http://arxiv.org/abs/2112.09171

How to Learn and Represent Abstractions: An Investigation using Symbolic Alchemy. (arXiv:2112.08360v1 [cs.LG]) http://arxiv.org/abs/2112.08360

Deep Generative Models for Vehicle Speed Trajectories. (arXiv:2112.08361v1 [cs.LG]) http://arxiv.org/abs/2112.08361

Performance or Trust? Why Not Both. Deep AUC Maximization with Self-Supervised Learning for COVID-19 Chest X-ray Classifications. (arXiv:2112.08363v1 [cs.LG]) http://arxiv.org/abs/2112.08363

Data Valuation for Vertical Federated Learning: An Information-Theoretic Approach. (arXiv:2112.08364v1 [cs.LG]) http://arxiv.org/abs/2112.08364

AGMI: Attention-Guided Multi-omics Integration for Drug Response Prediction with Graph Neural Networks. (arXiv:2112.08366v1 [q-bio.GN]) http://arxiv.org/abs/2112.08366

Feature-Attending Recurrent Modules for Generalization in Reinforcement Learning. (arXiv:2112.08369v1 [cs.LG]) http://arxiv.org/abs/2112.08369

Lifelong Generative Modelling Using Dynamic Expansion Graph Model. (arXiv:2112.08370v1 [cs.LG]) http://arxiv.org/abs/2112.08370

Blockchain as an IoT intermediary. (arXiv:2112.08371v1 [cs.CR]) http://arxiv.org/abs/2112.08371

Breeding realistic D-brane models. (arXiv:2112.08391v1 [hep-th]) http://arxiv.org/abs/2112.08391

Quantum Model Learning Agent: characterisation of quantum systems through machine learning. (arXiv:2112.08409v1 [quant-ph]) http://arxiv.org/abs/2112.08409