arXiv Computer Science @arxiv_cs@qoto.org

How and When Random Feedback Works: A Case Study of Low-Rank Matrix Factorization. (arXiv:2111.08706v1 [cs.NE]) http://arxiv.org/abs/2111.08706

Exploring dual-attention mechanism with multi-scale feature extraction scheme for skin lesion segmentation. (arXiv:2111.08708v1 [eess.IV]) http://arxiv.org/abs/2111.08708

CNN Filter Learning from Drawn Markers for the Detection of Suggestive Signs of COVID-19 in CT Images. (arXiv:2111.08710v1 [eess.IV]) http://arxiv.org/abs/2111.08710

Two-step adversarial debiasing with partial learning -- medical image case-studies. (arXiv:2111.08711v1 [eess.IV]) http://arxiv.org/abs/2111.08711

Automatic Semantic Segmentation of the Lumbar Spine. Clinical Applicability in a Multi-parametric and Multi-centre MRI study. (arXiv:2111.08712v1 [eess.IV]) http://arxiv.org/abs/2111.08712

Metagenome2Vec: Building Contextualized Representations for Scalable Metagenome Analysis. (arXiv:2111.08001v1 [q-bio.GN]) http://arxiv.org/abs/2111.08001

Natural Gradient Variational Inference with Gaussian Mixture Models. (arXiv:2111.08002v1 [cs.LG]) http://arxiv.org/abs/2111.08002

Bag of Tricks and A Strong baseline for Image Copy Detection. (arXiv:2111.08004v1 [cs.CV]) http://arxiv.org/abs/2111.08004

Solving Inverse Problems in Medical Imaging with Score-Based Generative Models. (arXiv:2111.08005v1 [eess.IV]) http://arxiv.org/abs/2111.08005

Disparities in Dermatology AI: Assessments Using Diverse Clinical Images. (arXiv:2111.08006v1 [eess.IV]) http://arxiv.org/abs/2111.08006

SPLDExtraTrees: Robust machine learning approach for predicting kinase inhibitor resistance. (arXiv:2111.08008v1 [q-bio.QM]) http://arxiv.org/abs/2111.08008

Piano Fingering with Reinforcement Learning. (arXiv:2111.08009v1 [cs.OH]) http://arxiv.org/abs/2111.08009

Modular Networks Prevent Catastrophic Interference in Model-Based Multi-Task Reinforcement Learning. (arXiv:2111.08010v1 [cs.LG]) http://arxiv.org/abs/2111.08010

Advantage of Machine Learning over Maximum Likelihood in Limited-Angle Low-Photon X-Ray Tomography. (arXiv:2111.08011v1 [eess.IV]) http://arxiv.org/abs/2111.08011

Tensor network to learn the wavefunction of data. (arXiv:2111.08014v1 [quant-ph]) http://arxiv.org/abs/2111.08014

Learning Generalized Gumbel-max Causal Mechanisms. (arXiv:2111.06888v1 [cs.LG]) http://arxiv.org/abs/2111.06888

DriverGym: Democratising Reinforcement Learning for Autonomous Driving. (arXiv:2111.06889v1 [cs.LG]) http://arxiv.org/abs/2111.06889

Impact of loss functions on the performance of a deep neural network designed to restore low-dose digital mammography. (arXiv:2111.06890v1 [eess.IV]) http://arxiv.org/abs/2111.06890

Convolutional Nets Versus Vision Transformers for Diabetic Foot Ulcer Classification. (arXiv:2111.06894v1 [eess.IV]) http://arxiv.org/abs/2111.06894

MS-LaTTE: A Dataset of Where and When To-do Tasks are Completed. (arXiv:2111.06902v1 [cs.CL]) http://arxiv.org/abs/2111.06902