A literature review on COVID-19 disease diagnosis from respiratory sound data. (arXiv:2112.07670v1 [cs.SD]) http://arxiv.org/abs/2112.07670
Machine learning a manifold. (arXiv:2112.07673v1 [hep-ph]) http://arxiv.org/abs/2112.07673
Conservative and Adaptive Penalty for Model-Based Safe Reinforcement Learning. (arXiv:2112.07701v1 [cs.LG]) http://arxiv.org/abs/2112.07701
Learning to Retrieve Passages without Supervision. (arXiv:2112.07708v1 [cs.CL]) http://arxiv.org/abs/2112.07708
Representing Inferences and their Lexicalization. (arXiv:2112.07711v1 [cs.CL]) http://arxiv.org/abs/2112.07711
Scatterbrained: A flexible and expandable pattern for decentralized machine learning. (arXiv:2112.07718v1 [cs.LG]) http://arxiv.org/abs/2112.07718
Identifying Class Specific Filters with L1 Norm Frequency Histograms in Deep CNNs. (arXiv:2112.07719v1 [cs.CV]) http://arxiv.org/abs/2112.07719
Autonomous Navigation System from Simultaneous Localization and Mapping. (arXiv:2112.07723v1 [cs.RO]) http://arxiv.org/abs/2112.07723
Classifying Emails into Human vs Machine Category. (arXiv:2112.07742v1 [cs.CL]) http://arxiv.org/abs/2112.07742
Flow Metrics on Graphs. (arXiv:2112.06916v1 [cs.DS]) http://arxiv.org/abs/2112.06916
Branching Strategy Selection Approach Based on Vivification Ratio. (arXiv:2112.06917v1 [cs.AI]) http://arxiv.org/abs/2112.06917
Automated Customization of On-Thing Inference for Quality-of-Experience Enhancement. (arXiv:2112.06918v1 [cs.LG]) http://arxiv.org/abs/2112.06918
Boosting Independent Component Analysis. (arXiv:2112.06920v1 [stat.ML]) http://arxiv.org/abs/2112.06920
A Data- and Task- Oriented Design Framework for Bivariate Communication of Uncertainty. (arXiv:2112.06921v1 [cs.HC]) http://arxiv.org/abs/2112.06921
Decoding High-level Imagined Speech using Attention-based Deep Neural Networks. (arXiv:2112.06922v1 [cs.HC]) http://arxiv.org/abs/2112.06922
Generating Fluent Fact Checking Explanations with Unsupervised Post-Editing. (arXiv:2112.06924v1 [cs.CL]) http://arxiv.org/abs/2112.06924
CGAN-EB: A Non-parametric Empirical Bayes Method for Crash Hotspot Identification Using Conditional Generative Adversarial Networks: A Simulated Crash Data Study. (arXiv:2112.06925v1 [cs.LG]) http://arxiv.org/abs/2112.06925
Addressing Bias in Active Learning with Depth Uncertainty Networks... or Not. (arXiv:2112.06926v1 [cs.LG]) http://arxiv.org/abs/2112.06926
Controlled Cue Generation for Play Scripts. (arXiv:2112.06953v1 [cs.CL]) http://arxiv.org/abs/2112.06953
The Co-Designed Post-Pandemic University: A Participatory and Continual Learning Approach for the Future of Work. (arXiv:2112.05751v1 [cs.CY]) http://arxiv.org/abs/2112.05751
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