arXiv Computer Science @arxiv_cs@qoto.org

Learning Efficient and Fair Policies for Uncertainty-Aware Collaborative Human-Robot Order Picking https://arxiv.org/abs/2404.08006 #math.OC #cs.RO #cs.AI #cs.LG

Interpretable Neural Temporal Point Processes for Modelling Electronic Health Records https://arxiv.org/abs/2404.08007 #cs.LG

Sample-Efficient Human Evaluation of Large Language Models via Maximum Discrepancy Competition https://arxiv.org/abs/2404.08008 #cs.LG #cs.CL #cs.HC

Differentiable Search for Finding Optimal Quantization Strategy https://arxiv.org/abs/2404.08010 #eess.IV #cs.LG

An inclusive review on deep learning techniques and their scope in handwriting recognition https://arxiv.org/abs/2404.08011 #cs.CV #cs.LG

Evolving Military Broadband Wireless Communication Systems: WiMAX, LTE and WLAN https://arxiv.org/abs/2404.07207 #eess.SP #cs.NI #cs.CY

Uncertainty-guided annotation enhances segmentation with the human-in-the-loop https://arxiv.org/abs/2404.07208 #cs.CV #cs.AI #cs.HC

Deep Reinforcement Learning Based Toolpath Generation for Thermal Uniformity in Laser Powder Bed Fusion Process https://arxiv.org/abs/2404.07209 #cs.CE #cs.LG

Sampling recovery on function classes with a structural condition https://arxiv.org/abs/2404.07210 #math.NA #math.FA #cs.NA

A real-time Artificial Intelligence system for learning Sign Language https://arxiv.org/abs/2404.07211 #cs.CV #cs.AI

Evolving Genetic Programming Tree Models for Predicting the Mechanical Properties of Green Fibers for Better Biocomposite Materials https://arxiv.org/abs/2404.07213 #cond-mat.mtrl-sci #cs.NE #cs.AI

Exploring the Frontier of Vision-Language Models: A Survey of Current Methodologies and Future Directions https://arxiv.org/abs/2404.07214 #cs.CV #cs.AI #cs.CL

Computation Offloading for Multi-server Multi-access Edge Vehicular Networks: A DDQN-based Method https://arxiv.org/abs/2404.07215 #eess.SP #cs.NI #cs.AI

Leave No One Behind: Online Self-Supervised Self-Distillation for Sequential Recommendation https://arxiv.org/abs/2404.07219 #cs.IR #cs.LG

Blended RAG: Improving RAG (Retriever-Augmented Generation) Accuracy with Semantic Search and Hybrid Query-Based Retrievers https://arxiv.org/abs/2404.07220 #cs.IR #cs.AI #cs.CL

Convergence to Nash Equilibrium and No-regret Guarantee in (Markov) Potential Games https://arxiv.org/abs/2404.06516 #cs.GT #cs.LG

Best Response Shaping https://arxiv.org/abs/2404.06519 #cs.GT #cs.AI #cs.LG #cs.MA

EVLearn: Extending the CityLearn Framework with Electric Vehicle Simulation https://arxiv.org/abs/2404.06521 #eess.SY #cs.MA #cs.SY

An Enhanced Grey Wolf Optimizer with Elite Inheritance and Balance Search Mechanisms https://arxiv.org/abs/2404.06524 #cs.NE #cs.AI

Emergent Braitenberg-style Behaviours for Navigating the ViZDoom `My Way Home' Labyrinth https://arxiv.org/abs/2404.06529 #cs.NE #cs.AI