arXiv Computer Science @arxiv_cs@qoto.org

AutoDS: Towards Human-Centered Automation of Data Science. (arXiv:2101.05273v1 [cs.HC]) http://arxiv.org/abs/2101.05273

GAN Inversion: A Survey. (arXiv:2101.05278v1 [cs.CV]) http://arxiv.org/abs/2101.05278

Proxemics and Social Interactions in an Instrumented Virtual Reality Workshop. (arXiv:2101.05300v1 [cs.HC]) http://arxiv.org/abs/2101.05300

Understanding the Effect of Out-of-distribution Examples and Interactive Explanations on Human-AI Decision Making. (arXiv:2101.05303v1 [cs.AI]) http://arxiv.org/abs/2101.05303

Spatial-Temporal Convolutional Network for Spread Prediction of COVID-19. (arXiv:2101.05304v1 [cs.LG]) http://arxiv.org/abs/2101.05304

Explainability of vision-based autonomous driving systems: Review and challenges. (arXiv:2101.05307v1 [cs.CV]) http://arxiv.org/abs/2101.05307

Toward Data Cleaning with a Target Accuracy: A Case Study for Value Normalization. (arXiv:2101.05308v1 [cs.DB]) http://arxiv.org/abs/2101.05308

Whispered and Lombard Neural Speech Synthesis. (arXiv:2101.05313v1 [eess.AS]) http://arxiv.org/abs/2101.05313

EXMA: A Genomics Accelerator for Exact-Matching. (arXiv:2101.05314v1 [cs.AR]) http://arxiv.org/abs/2101.05314

Hybrid matheuristics to solve the integrated lot sizing and scheduling problem on parallel machines with sequence-dependent and non-triangular setup. (arXiv:2101.04677v1 [cs.DC]) http://arxiv.org/abs/2101.04677

Over-The-Air Computation in Correlated Channels. (arXiv:2101.04690v1 [cs.IT]) http://arxiv.org/abs/2101.04690

Convolutional Neural Network Simplification with Progressive Retraining. (arXiv:2101.04699v1 [cs.LG]) http://arxiv.org/abs/2101.04699

Cross-Modal Contrastive Learning for Text-to-Image Generation. (arXiv:2101.04702v1 [cs.CV]) http://arxiv.org/abs/2101.04702

Boundary-Aware Segmentation Network for Mobile and Web Applications. (arXiv:2101.04704v1 [cs.CV]) http://arxiv.org/abs/2101.04704

Explicit homography estimation improves contrastive self-supervised learning. (arXiv:2101.04713v1 [cs.CV]) http://arxiv.org/abs/2101.04713

Declarative Demand-Driven Reverse Engineering. (arXiv:2101.04718v1 [cs.PL]) http://arxiv.org/abs/2101.04718

Expanding Explainability: Towards Social Transparency in AI systems. (arXiv:2101.04719v1 [cs.HC]) http://arxiv.org/abs/2101.04719

Towards fast machine-learning-assisted Bayesian posterior inference of realistic microseismic events. (arXiv:2101.04724v1 [physics.geo-ph]) http://arxiv.org/abs/2101.04724

Model-Based Machine Learning for Communications. (arXiv:2101.04726v1 [eess.SP]) http://arxiv.org/abs/2101.04726

Explain and Predict, and then Predict again. (arXiv:2101.04109v1 [cs.CL]) http://arxiv.org/abs/2101.04109