arXiv Computer Science @arxiv_cs@qoto.org

Meta-SysId: A Meta-Learning Approach for Simultaneous Identification and Prediction. (arXiv:2206.00694v1 [cs.LG]) http://arxiv.org/abs/2206.00694

Know Your Boundaries: The Necessity of Explicit Behavioral Cloning in Offline RL. (arXiv:2206.00695v1 [cs.LG]) http://arxiv.org/abs/2206.00695

Studying the Practices of Deploying Machine Learning Projects on Docker. (arXiv:2206.00699v1 [cs.SE]) http://arxiv.org/abs/2206.00699

RoCourseNet: Distributionally Robust Training of a Prediction Aware Recourse Model. (arXiv:2206.00700v1 [cs.LG]) http://arxiv.org/abs/2206.00700

What Changed? Investigating Debiasing Methods using Causal Mediation Analysis. (arXiv:2206.00701v1 [cs.CL]) http://arxiv.org/abs/2206.00701

Weight Set Decomposition for Weighted Rank Aggregation: An interpretable and visual decision support tool. (arXiv:2206.00001v1 [cs.IR]) http://arxiv.org/abs/2206.00001

Calibrated Bagging Deep Learning for Image Semantic Segmentation: A Case Study on COVID-19 Chest X-ray Image. (arXiv:2206.00002v1 [eess.IV]) http://arxiv.org/abs/2206.00002

Predictive Modeling of Physical and Mechanical Properties of Pervious Concrete using XGBoost. (arXiv:2206.00003v1 [cs.CE]) http://arxiv.org/abs/2206.00003

Are classical neural networks quantum?. (arXiv:2206.00005v1 [cs.LG]) http://arxiv.org/abs/2206.00005

COIN: Co-Cluster Infomax for Bipartite Graphs. (arXiv:2206.00006v1 [cs.LG]) http://arxiv.org/abs/2206.00006

A Cross-City Federated Transfer Learning Framework: A Case Study on Urban Region Profiling. (arXiv:2206.00007v1 [cs.LG]) http://arxiv.org/abs/2206.00007

Online PAC-Bayes Learning. (arXiv:2206.00024v1 [cs.LG]) http://arxiv.org/abs/2206.00024

Network Cards: concise, readable summaries of network data. (arXiv:2206.00026v1 [cs.SI]) http://arxiv.org/abs/2206.00026

On the coset graph construction of distance-regular graphs. (arXiv:2206.00031v1 [math.CO]) http://arxiv.org/abs/2206.00031

Weaving Privacy and Power: On the Privacy Practices of Labor Organizers in the U.S. Technology Industry. (arXiv:2206.00035v1 [cs.HC]) http://arxiv.org/abs/2206.00035

Improvements to Supervised EM Learning of Shared Kernel Models by Feature Space Partitioning. (arXiv:2205.15304v1 [cs.LG]) http://arxiv.org/abs/2205.15304

A Design Space for Explainable Ranking and Ranking Models. (arXiv:2205.15305v1 [cs.LG]) http://arxiv.org/abs/2205.15305

How to Compose Shortest Paths. (arXiv:2205.15306v1 [cs.DM]) http://arxiv.org/abs/2205.15306

A Unified Weight Initialization Paradigm for Tensorial Convolutional Neural Networks. (arXiv:2205.15307v1 [cs.LG]) http://arxiv.org/abs/2205.15307

Parameter-Efficient and Student-Friendly Knowledge Distillation. (arXiv:2205.15308v1 [cs.LG]) http://arxiv.org/abs/2205.15308