arXiv Statistics @arxiv_stats@qoto.org

DropCluster: A structured dropout for convolutional networks. (arXiv:2002.02997v1 [cs.LG]) http://arxiv.org/abs/2002.02997

Improving the Adversarial Robustness of Transfer Learning via Noisy Feature Distillation. (arXiv:2002.02998v1 [cs.LG]) http://arxiv.org/abs/2002.02998

List Decodable Subspace Recovery. (arXiv:2002.03004v1 [cs.DS]) http://arxiv.org/abs/2002.03004

Bayesian Methods for the Analysis of Early-Phase Oncology Basket Trials with Information Borrowing across Cancer Types. (arXiv:2002.03007v1 [stat.AP]) http://arxiv.org/abs/2002.03007

FiniteNet: A Fully Convolutional LSTM Network Architecture for Time-Dependent Partial Differential Equations. (arXiv:2002.03014v1 [cs.LG]) http://arxiv.org/abs/2002.03014

Safe Wasserstein Constrained Deep Q-Learning. (arXiv:2002.03016v1 [cs.LG]) http://arxiv.org/abs/2002.03016

Certified Robustness to Label-Flipping Attacks via Randomized Smoothing. (arXiv:2002.03018v1 [cs.LG]) http://arxiv.org/abs/2002.03018

Wasserstein Proximal Gradient. (arXiv:2002.03035v1 [math.OC]) http://arxiv.org/abs/2002.03035

Semantic Robustness of Models of Source Code. (arXiv:2002.03043v1 [cs.LG]) http://arxiv.org/abs/2002.03043

Goal-Oriented Multi-Task BERT-Based Dialogue State Tracker. (arXiv:2002.02450v1 [cs.CL]) http://arxiv.org/abs/2002.02450

Intelligent Arxiv: Sort daily papers by learning users topics preference. (arXiv:2002.02460v1 [cs.LG]) http://arxiv.org/abs/2002.02460

Inference of Polygenic Factors Associated with Breast Cancer Gene Interaction Networks from Discrete Data Utilizing Poisson Multivariate Mutual Information. (arXiv:2002.02477v1 [stat.ME]) http://arxiv.org/abs/2002.02477

Sensitivity Analysis in the Dupire Local Volatility Model with Tensorflow. (arXiv:2002.02481v1 [cs.DC]) http://arxiv.org/abs/2002.02481

Consistency of a Recurrent Language Model With Respect to Incomplete Decoding. (arXiv:2002.02492v1 [cs.LG]) http://arxiv.org/abs/2002.02492

On Ridership and Frequency. (arXiv:2002.02493v1 [physics.soc-ph]) http://arxiv.org/abs/2002.02493

On the limits of cross-domain generalization in automated X-ray prediction. (arXiv:2002.02497v1 [eess.IV]) http://arxiv.org/abs/2002.02497

Achieving the fundamental convergence-communication tradeoff with Differentially Quantized Gradient Descent. (arXiv:2002.02508v1 [cs.LG]) http://arxiv.org/abs/2002.02508

Duality of Width and Depth of Neural Networks. (arXiv:2002.02515v1 [cs.LG]) http://arxiv.org/abs/2002.02515

One-Shot Bayes Opt with Probabilistic Population Based Training. (arXiv:2002.02518v1 [cs.LG]) http://arxiv.org/abs/2002.02518

Deep-Learning-Enabled Simulated Annealing for Topology Optimization. (arXiv:2002.01927v1 [cs.CE]) http://arxiv.org/abs/2002.01927