arXiv Computer Science @arxiv_cs@qoto.org

Predictive Complexity Priors. (arXiv:2006.10801v1 [stat.ML]) http://arxiv.org/abs/2006.10801

DS6: Deformation-aware learning for small vessel segmentation with small, imperfectly labeled dataset. (arXiv:2006.10802v1 [eess.IV]) http://arxiv.org/abs/2006.10802

Recovering Petaflops in Contrastive Semi-Supervised Learning of Visual Representations. (arXiv:2006.10803v1 [cs.LG]) http://arxiv.org/abs/2006.10803

Karp's patching algorithm on dense digraphs. (arXiv:2006.10804v1 [cs.DS]) http://arxiv.org/abs/2006.10804

Pervasive Communications Technologies For Managing Pandemics. (arXiv:2006.10805v1 [cs.CY]) http://arxiv.org/abs/2006.10805

Hybrid Beamforming Structure for Massive MIMO System: Full-connection v.s. Partial-connection. (arXiv:2006.10044v1 [eess.SP]) http://arxiv.org/abs/2006.10044

Overcoming Statistical Shortcuts for Open-ended Visual Counting. (arXiv:2006.10079v1 [cs.CV]) http://arxiv.org/abs/2006.10079

Fair k-Means Clustering. (arXiv:2006.10085v1 [cs.LG]) http://arxiv.org/abs/2006.10085

Faster Secure Data Mining via Distributed Homomorphic Encryption. (arXiv:2006.10091v1 [cs.DC]) http://arxiv.org/abs/2006.10091

Housing Market Prediction Problem using Different Machine Learning Algorithms: A Case Study. (arXiv:2006.10092v1 [cs.LG]) http://arxiv.org/abs/2006.10092

Extensively Matching for Few-shot Learning Event Detection. (arXiv:2006.10093v1 [cs.CL]) http://arxiv.org/abs/2006.10093

Nearly Optimal Robust Method for Convex Compositional Problems with Heavy-Tailed Noise. (arXiv:2006.10095v1 [cs.LG]) http://arxiv.org/abs/2006.10095

Towards Recurrent Autoregressive Flow Models. (arXiv:2006.10096v1 [cs.LG]) http://arxiv.org/abs/2006.10096

Rethinking Semi-Supervised Learning in VAEs. (arXiv:2006.10102v1 [cs.LG]) http://arxiv.org/abs/2006.10102

Is Network the Bottleneck of Distributed Training?. (arXiv:2006.10103v1 [cs.DC]) http://arxiv.org/abs/2006.10103

Intriguing generalization and simplicity of adversarially trained neural networks. (arXiv:2006.09373v1 [cs.CV]) http://arxiv.org/abs/2006.09373

Density Deconvolution with Normalizing Flows. (arXiv:2006.09396v1 [stat.ML]) http://arxiv.org/abs/2006.09396

Digit Stability Inference for Iterative Methods Using Redundant Number Representation. (arXiv:2006.09427v1 [math.NA]) http://arxiv.org/abs/2006.09427

Response by the Montreal AI Ethics Institute to the European Commission's Whitepaper on AI. (arXiv:2006.09428v1 [cs.CY]) http://arxiv.org/abs/2006.09428

Wasserstein Embedding for Graph Learning. (arXiv:2006.09430v1 [cs.LG]) http://arxiv.org/abs/2006.09430