arXiv Computer Science @arxiv_cs@qoto.org

Distillating Knowledge from Graph Convolutional Networks. (arXiv:2003.10477v1 [cs.CV]) http://arxiv.org/abs/2003.10477

Coronavirus (COVID-19) Classification using CT Images by Machine Learning Methods. (arXiv:2003.09424v1 [cs.CV]) http://arxiv.org/abs/2003.09424

aphBO-2GP-3B: A budgeted asynchronously-parallel multi-acquisition for known/unknown constrained Bayesian optimization on high-performing computing architecture. (arXiv:2003.09436v1 [stat.ML]) http://arxiv.org/abs/2003.09436

Engine and Aftertreatment Co-Optimization of Connected HEVs via Multi-Range Vehicle Speed Planning and Prediction. (arXiv:2003.09438v1 [eess.SY]) http://arxiv.org/abs/2003.09438

ROAM: Random Layer Mixup for Semi-Supervised Learning in Medical Imaging. (arXiv:2003.09439v1 [cs.CV]) http://arxiv.org/abs/2003.09439

Deep Sets for Generalization in RL. (arXiv:2003.09443v1 [cs.LG]) http://arxiv.org/abs/2003.09443

What is the optimal depth for deep-unfolding architectures at deployment?. (arXiv:2003.09446v1 [cs.IT]) http://arxiv.org/abs/2003.09446

Sustainability Analysis of Interconnected Food Production Systems via Theory of Barriers. (arXiv:2003.09447v1 [math.OC]) http://arxiv.org/abs/2003.09447

Learning reduced systems via deep neural networks with memory. (arXiv:2003.09451v1 [stat.ML]) http://arxiv.org/abs/2003.09451

Cartesian bicategories with choice. (arXiv:2003.09453v1 [cs.LO]) http://arxiv.org/abs/2003.09453

Probabilistic learning of boolean functions applied to the binary classification problem with categorical covariates. (arXiv:2003.09454v1 [stat.ML]) http://arxiv.org/abs/2003.09454

An Open Model for Researching the Role of Culture in Online Self-Disclosure. (arXiv:2003.08942v1 [cs.CY]) http://arxiv.org/abs/2003.08942

Temporal Extension Module for Skeleton-Based Action Recognition. (arXiv:2003.08951v1 [cs.CV]) http://arxiv.org/abs/2003.08951

Voice and accompaniment separation in music using self-attention convolutional neural network. (arXiv:2003.08954v1 [eess.AS]) http://arxiv.org/abs/2003.08954

The value of text for small business default prediction: A deep learning approach. (arXiv:2003.08964v1 [cs.LG]) http://arxiv.org/abs/2003.08964

The Vector Poisson Channel: On the Linearity of the Conditional Mean Estimator. (arXiv:2003.08967v1 [cs.IT]) http://arxiv.org/abs/2003.08967

Latent Space Roadmap for Visual Action Planning of Deformable and Rigid Object Manipulation. (arXiv:2003.08974v1 [cs.RO]) http://arxiv.org/abs/2003.08974

Generating new concepts with hybrid neuro-symbolic models. (arXiv:2003.08978v1 [cs.LG]) http://arxiv.org/abs/2003.08978

Pilot Pattern Design for Deep Learning-Based Channel Estimation in OFDM Systems. (arXiv:2003.08980v1 [eess.SP]) http://arxiv.org/abs/2003.08980

Local Implicit Grid Representations for 3D Scenes. (arXiv:2003.08981v1 [cs.CV]) http://arxiv.org/abs/2003.08981