arXiv Computer Science @arxiv_cs@qoto.org

NEVIS'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research. (arXiv:2211.11747v1 [cs.LG]) http://arxiv.org/abs/2211.11747

Towards Automatic Prediction of Outcome in Treatment of Cerebral Aneurysms. (arXiv:2211.11749v1 [eess.IV]) http://arxiv.org/abs/2211.11749

Self-attention based high order sequence feature reconstruction of dynamic functional connectivity networks with rs-fMRI for brain disease classification. (arXiv:2211.11750v1 [eess.IV]) http://arxiv.org/abs/2211.11750

Robust AUC Optimization under the Supervision of Clean Data. (arXiv:2211.11751v1 [cs.LG]) http://arxiv.org/abs/2211.11751

RHCO: A Relation-aware Heterogeneous Graph Neural Network with Contrastive Learning for Large-scale Graphs. (arXiv:2211.11752v1 [cs.LG]) http://arxiv.org/abs/2211.11752

SplitNet: Learnable Clean-Noisy Label Splitting for Learning with Noisy Labels. (arXiv:2211.11753v1 [cs.LG]) http://arxiv.org/abs/2211.11753

An Algorithm for Routing Vectors in Sequences. (arXiv:2211.11754v1 [cs.LG]) http://arxiv.org/abs/2211.11754

A Graph Regularized Point Process Model For Event Propagation Sequence. (arXiv:2211.11758v1 [cs.LG]) http://arxiv.org/abs/2211.11758

Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning. (arXiv:2211.11759v1 [cs.LG]) http://arxiv.org/abs/2211.11759

A Low Latency Adaptive Coding Spiking Framework for Deep Reinforcement Learning. (arXiv:2211.11760v1 [cs.LG]) http://arxiv.org/abs/2211.11760

Rastreo muscular m\'ovil usando magnetomicrometr\'ia -- traducci\'on al espa\~nol del articulo "Untethered Muscle Tracking Using Magnetomicrometry" por el autor Cameron R. Taylor. (arXiv:2211.10441v1 [physics.med-ph]) http://arxiv.org/abs/2211.10441

Deep learning methods for drug response prediction in cancer: predominant and emerging trends. (arXiv:2211.10442v1 [q-bio.QM]) http://arxiv.org/abs/2211.10442

Social media mining for toxicovigilance of prescription medications: End-to-end pipeline, challenges and future work. (arXiv:2211.10443v1 [cs.CL]) http://arxiv.org/abs/2211.10443

Neural Fields for Fast and Scalable Interpolation of Geophysical Ocean Variables. (arXiv:2211.10444v1 [physics.ao-ph]) http://arxiv.org/abs/2211.10444

Building a Subspace of Policies for Scalable Continual Learning. (arXiv:2211.10445v1 [cs.LG]) http://arxiv.org/abs/2211.10445

Discovering Locally Maximal Bipartite Subgraphs. (arXiv:2211.10446v1 [cs.AI]) http://arxiv.org/abs/2211.10446

A Unified Framework for Quantifying Privacy Risk in Synthetic Data. (arXiv:2211.10459v1 [cs.CR]) http://arxiv.org/abs/2211.10459

Knowledge Graph Refinement based on Triplet BERT-Networks. (arXiv:2211.10460v1 [cs.CL]) http://arxiv.org/abs/2211.10460

Hub-VAE: Unsupervised Hub-based Regularization of Variational Autoencoders. (arXiv:2211.10469v1 [cs.LG]) http://arxiv.org/abs/2211.10469

A mixed-reality dataset for category-level 6D pose and size estimation of hand-occluded containers. (arXiv:2211.10470v1 [cs.CV]) http://arxiv.org/abs/2211.10470