arXiv Statistics @arxiv_stats@qoto.org

Large-Scale Semi-Supervised Learning via Graph Structure Learning over High-Dense Points. (arXiv:1912.02233v1 [cs.LG]) http://arxiv.org/abs/1912.02233

Deep Model Compression via Deep Reinforcement Learning. (arXiv:1912.02254v1 [cs.LG]) http://arxiv.org/abs/1912.02254

A Survey of Game Theoretic Approaches for Adversarial Machine Learning in Cybersecurity Tasks. (arXiv:1912.02258v1 [cs.CR]) http://arxiv.org/abs/1912.02258

The effect of task and training on intermediate representations in convolutional neural networks revealed with modified RV similarity analysis. (arXiv:1912.02260v1 [cs.LG]) http://arxiv.org/abs/1912.02260

Gaussian graphical models with toric vanishing ideals. (arXiv:1912.02265v1 [math.AG]) http://arxiv.org/abs/1912.02265

Enhancing Stratospheric Weather Analyses and Forecasts by Deploying Sensors from a Weather Balloon. (arXiv:1912.02276v1 [cs.LG]) http://arxiv.org/abs/1912.02276

Angular Visual Hardness. (arXiv:1912.02279v1 [cs.LG]) http://arxiv.org/abs/1912.02279

Natural Alpha Embeddings. (arXiv:1912.02280v1 [cs.LG]) http://arxiv.org/abs/1912.02280

Indian Buffet Neural Networks for Continual Learning. (arXiv:1912.02290v1 [stat.ML]) http://arxiv.org/abs/1912.02290

Moments of Student's t-distribution: A Unified Approach. (arXiv:1912.01607v1 [math.PR]) http://arxiv.org/abs/1912.01607

Mo' States Mo' Problems: Emergency Stop Mechanisms from Observation. (arXiv:1912.01649v1 [cs.LG]) http://arxiv.org/abs/1912.01649

Large scale representation learning from triplet comparisons. (arXiv:1912.01666v1 [cs.LG]) http://arxiv.org/abs/1912.01666

A Study of Black Box Adversarial Attacks in Computer Vision. (arXiv:1912.01667v1 [cs.LG]) http://arxiv.org/abs/1912.01667

Maximum entropy methods for texture synthesis: theory and practice. (arXiv:1912.01691v1 [math.ST]) http://arxiv.org/abs/1912.01691

Online and Bandit Algorithms for Nonstationary Stochastic Saddle-Point Optimization. (arXiv:1912.01698v1 [math.OC]) http://arxiv.org/abs/1912.01698

PyTorch: An Imperative Style, High-Performance Deep Learning Library. (arXiv:1912.01703v1 [cs.LG]) http://arxiv.org/abs/1912.01703

A Robust Self-Learning Method for Fully Unsupervised Cross-Lingual Mappings of Word Embeddings: Making the Method Robustly Reproducible as Well. (arXiv:1912.01706v1 [cs.LG]) http://arxiv.org/abs/1912.01706

Risk-Averse Action Selection Using Extreme Value Theory Estimates of the CVaR. (arXiv:1912.01718v1 [stat.ML]) http://arxiv.org/abs/1912.01718

Distance-Based Learning from Errors for Confidence Calibration. (arXiv:1912.01730v1 [cs.LG]) http://arxiv.org/abs/1912.01730

A gray-box model for a probabilistic estimate of regional ground magnetic perturbations: Enhancing the NOAA operational Geospace model with machine learning. (arXiv:1912.01038v1 [physics.space-ph]) http://arxiv.org/abs/1912.01038