arXiv Computer Science @arxiv_cs@qoto.org

Structured Multi-Hashing for Model Compression. (arXiv:1911.11177v1 [cs.LG]) http://arxiv.org/abs/1911.11177

Bivariate, Cluster and Suitability Analysis of NoSQL Solutions for Different Application Areas. (arXiv:1911.11181v1 [cs.DB]) http://arxiv.org/abs/1911.11181

Managing Variability in Relational Databases by VDBMS. (arXiv:1911.11184v1 [cs.DB]) http://arxiv.org/abs/1911.11184

Theory-based Causal Transfer: Integrating Instance-level Induction and Abstract-level Structure Learning. (arXiv:1911.11185v1 [cs.LG]) http://arxiv.org/abs/1911.11185

Secure Sketch for All Noisy Sources. (arXiv:1911.10201v1 [cs.IT]) http://arxiv.org/abs/1911.10201

Importance Sampling of Many Lights with Reinforcement Lightcuts Learning. (arXiv:1911.10217v1 [cs.GR]) http://arxiv.org/abs/1911.10217

A Fully Natural Gradient Scheme for Improving Inference of the Heterogeneous Multi-Output Gaussian Process Model. (arXiv:1911.10225v1 [stat.ML]) http://arxiv.org/abs/1911.10225

Prediction of individual progression rate in Parkinson's disease using clinical measures and biomechanical measures of gait and postural stability. (arXiv:1911.10227v1 [eess.SP]) http://arxiv.org/abs/1911.10227

Design and Experiments with a Robot-Driven Underwater Holographic Microscope for Low-Cost In Situ Particle Measurements. (arXiv:1911.10231v1 [cs.RO]) http://arxiv.org/abs/1911.10231

SWAG: Item Recommendations using Convolutions on Weighted Graphs. (arXiv:1911.10232v1 [cs.IR]) http://arxiv.org/abs/1911.10232

Improving N-gram Language Models with Pre-trained Deep Transformer. (arXiv:1911.10235v1 [cs.CL]) http://arxiv.org/abs/1911.10235

Approaching Small Molecule Prioritization as a Cross-Modal Information Retrieval Task through Coordinated Representation Learning. (arXiv:1911.10241v1 [q-bio.QM]) http://arxiv.org/abs/1911.10241

DeepSynth: Program Synthesis for Automatic Task Segmentation in Deep Reinforcement Learning. (arXiv:1911.10244v1 [cs.LG]) http://arxiv.org/abs/1911.10244

Optimal-order preconditioners for the Morse-Ingard equations. (arXiv:1911.10247v1 [math.NA]) http://arxiv.org/abs/1911.10247

Quantum Observables for continuous control of the Quantum Approximate Optimization Algorithm via Reinforcement Learning. (arXiv:1911.09682v1 [quant-ph]) http://arxiv.org/abs/1911.09682

A Unified Framework for Lifelong Learning in Deep Neural Networks. (arXiv:1911.09704v1 [cs.LG]) http://arxiv.org/abs/1911.09704

Automatically Neutralizing Subjective Bias in Text. (arXiv:1911.09709v1 [cs.CL]) http://arxiv.org/abs/1911.09709

RefinedMPL: Refined Monocular PseudoLiDAR for 3D Object Detection in Autonomous Driving. (arXiv:1911.09712v1 [cs.CV]) http://arxiv.org/abs/1911.09712

Using Socially Expressive Mixed Reality Arms for Enhancing Low-Expressivity Robots. (arXiv:1911.09713v1 [cs.RO]) http://arxiv.org/abs/1911.09713

Efficient Drone Mobility Support Using Reinforcement Learning. (arXiv:1911.09715v1 [cs.IT]) http://arxiv.org/abs/1911.09715