arXiv Computer Science @arxiv_cs@qoto.org

Few-shot Learning with Contextual Cueing for Object Recognition in Complex Scenes. (arXiv:1912.06679v1 [cs.CV]) http://arxiv.org/abs/1912.06679

Dota 2 with Large Scale Deep Reinforcement Learning. (arXiv:1912.06680v1 [cs.LG]) http://arxiv.org/abs/1912.06680

LiteSeg: A Novel Lightweight ConvNet for Semantic Segmentation. (arXiv:1912.06683v1 [cs.CV]) http://arxiv.org/abs/1912.06683

Systematic Overestimation of Machine Learning Performance in Neuroimaging Studies of Depression. (arXiv:1912.06686v1 [q-bio.NC]) http://arxiv.org/abs/1912.06686

Unsupervised and Generic Short-Term Anticipation of Human Body Motions. (arXiv:1912.06688v1 [cs.LG]) http://arxiv.org/abs/1912.06688

Computing the 2-adic complexity of two classes of Ding-Helleseth generalized cyclotomic sequences of period of twin prime products. (arXiv:1912.06134v1 [math.NT]) http://arxiv.org/abs/1912.06134

L3DOR: Lifelong 3D Object Recognition. (arXiv:1912.06135v1 [cs.CV]) http://arxiv.org/abs/1912.06135

Calibrated model-based evidential clustering using bootstrapping. (arXiv:1912.06137v1 [cs.LG]) http://arxiv.org/abs/1912.06137

ABOUT ML: Annotation and Benchmarking on Understanding and Transparency of Machine Learning Lifecycles. (arXiv:1912.06166v1 [cs.CY]) http://arxiv.org/abs/1912.06166

Awareness in Practice: Tensions in Access to Sensitive Attribute Data for Antidiscrimination. (arXiv:1912.06171v1 [cs.CY]) http://arxiv.org/abs/1912.06171

Coevolution of Generative Adversarial Networks. (arXiv:1912.06172v1 [cs.NE]) http://arxiv.org/abs/1912.06172

Training without training data: Improving the generalizability of automated medical abbreviation disambiguation. (arXiv:1912.06174v1 [cs.LG]) http://arxiv.org/abs/1912.06174

Investigating the effectiveness of web adblockers. (arXiv:1912.06176v1 [cs.CR]) http://arxiv.org/abs/1912.06176

COEGAN: Evaluating the Coevolution Effect in Generative Adversarial Networks. (arXiv:1912.06180v1 [cs.NE]) http://arxiv.org/abs/1912.06180

Learning Effective Visual Relationship Detector on 1 GPU. (arXiv:1912.06185v1 [cs.CV]) http://arxiv.org/abs/1912.06185

Encoding Musical Style with Transformer Autoencoders. (arXiv:1912.05537v1 [cs.SD]) http://arxiv.org/abs/1912.05537

Taking Ethics, Fairness, and Bias Seriously in Machine Learning for Disaster Risk Management. (arXiv:1912.05538v1 [cs.CY]) http://arxiv.org/abs/1912.05538

Deep One-bit Compressive Autoencoding. (arXiv:1912.05539v1 [cs.LG]) http://arxiv.org/abs/1912.05539

Fundamental Entropic Laws and $\mathcal{L}_p$ Limitations of Feedback Systems: Implications for Machine-Learning-in-the-Loop Control. (arXiv:1912.05541v1 [eess.SY]) http://arxiv.org/abs/1912.05541

Forging quantum data: classically defeating an IQP-based quantum test. (arXiv:1912.05547v1 [quant-ph]) http://arxiv.org/abs/1912.05547