HumBugDB: A Large-scale Acoustic Mosquito Dataset. (arXiv:2110.07607v1 [cs.SD]) http://arxiv.org/abs/2110.07607
3D Structure from 2D Microscopy images using Deep Learning. (arXiv:2110.07608v1 [q-bio.QM]) http://arxiv.org/abs/2110.07608
Non-contact Atrial Fibrillation Detection from Face Videos by Learning Systolic Peaks. (arXiv:2110.07610v1 [eess.IV]) http://arxiv.org/abs/2110.07610
Sparse Implicit Processes for Approximate Inference. (arXiv:2110.07618v1 [stat.ML]) http://arxiv.org/abs/2110.07618
More Efficient Sampling for Tensor Decomposition. (arXiv:2110.07631v1 [math.NA]) http://arxiv.org/abs/2110.07631
A Survey of Machine Learning Algorithms for Detecting Ransomware Encryption Activity. (arXiv:2110.07636v1 [cs.LG]) http://arxiv.org/abs/2110.07636
Sparks: Inspiration for Science Writing using Language Models. (arXiv:2110.07640v1 [cs.HC]) http://arxiv.org/abs/2110.07640
Non-deep Networks. (arXiv:2110.07641v1 [cs.CV]) http://arxiv.org/abs/2110.07641
Talking Detection In Collaborative Learning Environments. (arXiv:2110.07646v1 [cs.CV]) http://arxiv.org/abs/2110.07646
Towards Understanding the Data Dependency of Mixup-style Training. (arXiv:2110.07647v1 [cs.LG]) http://arxiv.org/abs/2110.07647
A neural simulation-based inference approach for characterizing the Galactic Center $\gamma$-ray excess. (arXiv:2110.06931v1 [astro-ph.HE]) http://arxiv.org/abs/2110.06931
Style-based quantum generative adversarial networks for Monte Carlo events. (arXiv:2110.06933v1 [quant-ph]) http://arxiv.org/abs/2110.06933
Provably accurate simulation of gauge theories and bosonic systems. (arXiv:2110.06942v1 [quant-ph]) http://arxiv.org/abs/2110.06942
Challenges for Unsupervised Anomaly Detection in Particle Physics. (arXiv:2110.06948v1 [cs.LG]) http://arxiv.org/abs/2110.06948
Considering user agreement in learning to predict the aesthetic quality. (arXiv:2110.06956v1 [cs.CV]) http://arxiv.org/abs/2110.06956
Language Modelling via Learning to Rank. (arXiv:2110.06961v1 [cs.CL]) http://arxiv.org/abs/2110.06961
Open-Domain Question-Answering for COVID-19 and Other Emergent Domains. (arXiv:2110.06962v1 [cs.CL]) http://arxiv.org/abs/2110.06962
The Complexity of Bipartite Gaussian Boson Sampling. (arXiv:2110.06964v1 [quant-ph]) http://arxiv.org/abs/2110.06964
Interpretable AI forecasting for numerical relativity waveforms of quasi-circular, spinning, non-precessing binary black hole mergers. (arXiv:2110.06968v1 [gr-qc]) http://arxiv.org/abs/2110.06968
Block Contextual MDPs for Continual Learning. (arXiv:2110.06972v1 [cs.LG]) http://arxiv.org/abs/2110.06972
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