On the Relation of Trust and Explainability: Why to Engineer for Trustworthiness. (arXiv:2108.05379v1 [cs.SE]) http://arxiv.org/abs/2108.05379
Skill Preferences: Learning to Extract and Execute Robotic Skills from Human Feedback. (arXiv:2108.05382v1 [cs.LG]) http://arxiv.org/abs/2108.05382
Physics-Coupled Spatio-Temporal Active Learning for Dynamical Systems. (arXiv:2108.05385v1 [cs.LG]) http://arxiv.org/abs/2108.05385
The Pitfalls of Sample Selection: A Case Study on Lung Nodule Classification. (arXiv:2108.05386v1 [cs.CV]) http://arxiv.org/abs/2108.05386
Voxel-level Importance Maps for Interpretable Brain Age Estimation. (arXiv:2108.05388v1 [cs.CV]) http://arxiv.org/abs/2108.05388
Seven challenges for harmonizing explainability requirements. (arXiv:2108.05390v1 [cs.LG]) http://arxiv.org/abs/2108.05390
Ontology drift is a challenge for explainable data governance. (arXiv:2108.05401v1 [cs.CY]) http://arxiv.org/abs/2108.05401
Composition Machines: Programming Self-Organising Software Models for the Emergence of Sequential Program Spaces. (arXiv:2108.05402v1 [cs.FL]) http://arxiv.org/abs/2108.05402
User-friendly Comparison of Similarity Algorithms on Wikidata. (arXiv:2108.05410v1 [cs.AI]) http://arxiv.org/abs/2108.05410
Quantifying power use in silicon photonic neural networks. (arXiv:2108.04819v1 [physics.optics]) http://arxiv.org/abs/2108.04819
MuCoMiD: A Multitask Convolutional Learning Framework for miRNA-Disease Association Prediction. (arXiv:2108.04820v1 [q-bio.QM]) http://arxiv.org/abs/2108.04820
Self-supervised Consensus Representation Learning for Attributed Graph. (arXiv:2108.04822v1 [cs.SI]) http://arxiv.org/abs/2108.04822
Practical Challenges in Real-time Demand Response. (arXiv:2108.04836v1 [eess.SY]) http://arxiv.org/abs/2108.04836
Post-hoc Interpretability for Neural NLP: A Survey. (arXiv:2108.04840v1 [cs.CL]) http://arxiv.org/abs/2108.04840
Optimal learning of quantum Hamiltonians from high-temperature Gibbs states. (arXiv:2108.04842v1 [quant-ph]) http://arxiv.org/abs/2108.04842
Attention-like feature explanation for tabular data. (arXiv:2108.04855v1 [cs.LG]) http://arxiv.org/abs/2108.04855
An experimental study of two predictive reinforcement learning methods and comparison with model-predictive control. (arXiv:2108.04857v1 [cs.RO]) http://arxiv.org/abs/2108.04857
Matching Algorithms for Blood Donation. (arXiv:2108.04862v1 [cs.AI]) http://arxiv.org/abs/2108.04862
AuraSense: Robot Collision Avoidance by Full Surface Proximity Detection. (arXiv:2108.04867v1 [cs.RO]) http://arxiv.org/abs/2108.04867
GANmapper: geographical content filling. (arXiv:2108.04232v1 [cs.CV]) http://arxiv.org/abs/2108.04232
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