arXiv Computer Science @arxiv_cs@qoto.org

HPO: We won't get fooled again. (arXiv:2208.03320v1 [cs.LG]) http://arxiv.org/abs/2208.03320

Discovery of partial differential equations from highly noisy and sparse data with physics-informed information criterion. (arXiv:2208.03322v1 [cs.LG]) http://arxiv.org/abs/2208.03322

DeepWSD: Projecting Degradations in Perceptual Space to Wasserstein Distance in Deep Feature Space. (arXiv:2208.03323v1 [eess.IV]) http://arxiv.org/abs/2208.03323

Perception-Distortion Balanced ADMM Optimization for Single-Image Super-Resolution. (arXiv:2208.03324v1 [eess.IV]) http://arxiv.org/abs/2208.03324

Isoform Function Prediction Using Deep Neural Network. (arXiv:2208.03325v1 [q-bio.GN]) http://arxiv.org/abs/2208.03325

Model Blending for Text Classification. (arXiv:2208.02819v1 [cs.LG]) http://arxiv.org/abs/2208.02819

MOVE: Effective and Harmless Ownership Verification via Embedded External Features. (arXiv:2208.02820v1 [cs.CR]) http://arxiv.org/abs/2208.02820

Meta-learning from Learning Curves Challenge: Lessons learned from the First Round and Design of the Second Round. (arXiv:2208.02821v1 [cs.LG]) http://arxiv.org/abs/2208.02821

Safe and Human-Like Autonomous Driving: A Predictor-Corrector Potential Game Approach. (arXiv:2208.02835v1 [eess.SY]) http://arxiv.org/abs/2208.02835

Modeling community standards for metadata as templates makes data FAIR. (arXiv:2208.02836v1 [cs.DL]) http://arxiv.org/abs/2208.02836

Core and Periphery as Closed-System Precepts for Engineering General Intelligence. (arXiv:2208.02837v1 [cs.AI]) http://arxiv.org/abs/2208.02837

Deep Surrogate of Modular Multi Pump using Active Learning. (arXiv:2208.02840v1 [cs.LG]) http://arxiv.org/abs/2208.02840

TIC: Text-Guided Image Colorization. (arXiv:2208.02843v1 [cs.CV]) http://arxiv.org/abs/2208.02843

Decision SincNet: Neurocognitive models of decision making that predict cognitive processes from neural signals. (arXiv:2208.02845v1 [q-bio.NC]) http://arxiv.org/abs/2208.02845

Benchmarking the face-centred finite volume method for compressible laminar flows. (arXiv:2208.02848v1 [physics.flu-dyn]) http://arxiv.org/abs/2208.02848

Reinforcement Learning for Joint V2I Network Selection and Autonomous Driving Policies. (arXiv:2208.02249v1 [cs.LG]) http://arxiv.org/abs/2208.02249

Adversarial Attacks on ASR Systems: An Overview. (arXiv:2208.02250v1 [cs.SD]) http://arxiv.org/abs/2208.02250

Heavy tails and pruning in programmable photonic circuits. (arXiv:2208.02251v1 [cs.ET]) http://arxiv.org/abs/2208.02251

GROWN+UP: A Graph Representation Of a Webpage Network Utilizing Pre-training. (arXiv:2208.02252v1 [cs.LG]) http://arxiv.org/abs/2208.02252

LaneSNNs: Spiking Neural Networks for Lane Detection on the Loihi Neuromorphic Processor. (arXiv:2208.02253v1 [cs.NE]) http://arxiv.org/abs/2208.02253