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Trust is not all about performance: trust biases in interaction with humans, robots and computers. (arXiv:2106.14888v1 [cs.RO]) arxiv.org/abs/2106.14888

Striking the Right Balance: Recall Loss for Semantic Segmentation. (arXiv:2106.14917v1 [cs.CV]) arxiv.org/abs/2106.14917

Cosmic-CoNN: A Cosmic Ray Detection Deep-Learning Framework, Dataset, and Toolkit. (arXiv:2106.14922v1 [astro-ph.IM]) arxiv.org/abs/2106.14922

Caching and Computation Offloading in High Altitude Platform Station (HAPS) Assisted Intelligent Transportation Systems. (arXiv:2106.14928v1 [eess.SY]) arxiv.org/abs/2106.14928

Seeking Stability by being Lazy and Shallow. (arXiv:2106.14938v1 [cs.PL]) arxiv.org/abs/2106.14938

Feature selection for intrusion detection systems. (arXiv:2106.14941v1 [cs.CR]) arxiv.org/abs/2106.14941

Fast Training of Neural Lumigraph Representations using Meta Learning. (arXiv:2106.14942v1 [cs.CV]) arxiv.org/abs/2106.14942

Achieving Real-Time Object Detection on MobileDevices with Neural Pruning Search. (arXiv:2106.14943v1 [cs.CV]) arxiv.org/abs/2106.14943

Training Saturation in Layerwise Quantum Approximate Optimisation. (arXiv:2106.13814v1 [quant-ph]) arxiv.org/abs/2106.13814

XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languages. (arXiv:2106.13822v1 [cs.CL]) arxiv.org/abs/2106.13822

Quantum Data Compression and Quantum Cross Entropy. (arXiv:2106.13823v1 [quant-ph]) arxiv.org/abs/2106.13823

From Linear Term Rewriting to Graph Rewriting with Preservation of Termination. (arXiv:2106.13826v1 [cs.LO]) arxiv.org/abs/2106.13826

EARLIN: Early Out-of-Distribution Detection for Resource-efficient Collaborative Inference. (arXiv:2106.13842v1 [cs.CV]) arxiv.org/abs/2106.13842

A logical framework with a graph meta-language. (arXiv:2106.13843v1 [cs.LO]) arxiv.org/abs/2106.13843

A CNN Segmentation-Based Approach to Object Detection and Tracking in Ultrasound Scans with Application to the Vagus Nerve Detection. (arXiv:2106.13849v1 [cs.CV]) arxiv.org/abs/2106.13849

Approximate Maximum Halfspace Discrepancy. (arXiv:2106.13851v1 [cs.CG]) arxiv.org/abs/2106.13851

Post Selections Using Test Sets (PSUTS) and How Developmental Networks Avoid Them. (arXiv:2106.13233v1 [cs.LG]) arxiv.org/abs/2106.13233

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