Hausa Visual Genome: A Dataset for Multi-Modal English to Hausa Machine Translation. (arXiv:2205.01133v1 [cs.CL]) http://arxiv.org/abs/2205.01133
D-DPCC: Deep Dynamic Point Cloud Compression via 3D Motion Prediction. (arXiv:2205.01135v1 [cs.CV]) http://arxiv.org/abs/2205.01135
Transformers in Time-series Analysis: A Tutorial. (arXiv:2205.01138v1 [cs.LG]) http://arxiv.org/abs/2205.01138
Efficient quantum algorithm for nonlinear reaction-diffusion equations and energy estimation. (arXiv:2205.01141v1 [quant-ph]) http://arxiv.org/abs/2205.01141
Cost-Aware Comparison of LiDAR-based 3D Object Detectors. (arXiv:2205.01142v1 [cs.CV]) http://arxiv.org/abs/2205.01142
Brainish: Formalizing A Multimodal Language for Intelligence and Consciousness. (arXiv:2205.00001v1 [cs.AI]) http://arxiv.org/abs/2205.00001
A Theory of Natural Intelligence. (arXiv:2205.00002v1 [cs.AI]) http://arxiv.org/abs/2205.00002
Graph Learning from Multivariate Dependent Time Series via a Multi-Attribute Formulation. (arXiv:2205.00007v1 [stat.ML]) http://arxiv.org/abs/2205.00007
Self-Aware Feedback-Based Self-Learning in Large-Scale Conversational AI. (arXiv:2205.00029v1 [cs.CL]) http://arxiv.org/abs/2205.00029
GRAND for Rayleigh Fading Channels. (arXiv:2205.00030v1 [cs.IT]) http://arxiv.org/abs/2205.00030
A Human-Centric Perspective on Fairness and Transparency in Algorithmic Decision-Making. (arXiv:2205.00033v1 [cs.AI]) http://arxiv.org/abs/2205.00033
What do we Really Know about State of the Art NER?. (arXiv:2205.00034v1 [cs.CL]) http://arxiv.org/abs/2205.00034
Answer Consolidation: Formulation and Benchmarking. (arXiv:2205.00042v1 [cs.CL]) http://arxiv.org/abs/2205.00042
Logically Consistent Adversarial Attacks for Soft Theorem Provers. (arXiv:2205.00047v1 [cs.LG]) http://arxiv.org/abs/2205.00047
Joint Multisided Exposure Fairness for Recommendation. (arXiv:2205.00048v1 [cs.IR]) http://arxiv.org/abs/2205.00048
Federated Learning: Balancing the Thin Line Between Data Intelligence and Privacy. (arXiv:2204.13697v1 [cs.LG]) http://arxiv.org/abs/2204.13697
How Much is Performance Worth to Users? A Quantitative Approach. (arXiv:2204.13698v1 [cs.HC]) http://arxiv.org/abs/2204.13698
Channel Pruned YOLOv5-based Deep Learning Approach for Rapid and Accurate Outdoor Obstacles Detection. (arXiv:2204.13699v1 [cs.CV]) http://arxiv.org/abs/2204.13699
Identifying Critical LMS Features for Predicting At-risk Students. (arXiv:2204.13700v1 [cs.LG]) http://arxiv.org/abs/2204.13700
Neighbor-Based Optimized Logistic Regression Machine Learning Model For Electric Vehicle Occupancy Detection. (arXiv:2204.13702v1 [cs.LG]) http://arxiv.org/abs/2204.13702
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