Electrical Engineering and Systems Science, Systems and Control
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Computer Science, Computer Vision and Pattern Recognition
Enhancing Video Understanding with Text Conditioning
Computer Science, Machine Learning
Semi-supervised Classification with Graph Convolutional Networks
Electrical Engineering and Systems Science, Signal Processing
Efficient Gesture Recognition System for American Sign Language Using Machine Learning
Computer Science, Networking and Internet Architecture
Federated Learning Efficiency: A Comparative Study of Distillation and Communication-Efficient Algorithms
Computer Science, Computer Vision and Pattern Recognition
Leveraging Intensity Images for Complementary Information in Event-Based Vision
Electrical Engineering and Systems Science, Systems and Control
Approximating Flow Functions with RNNs: A Methodological Perspective
Computer Science, Computers and Society
Designing a Controllable Social Media Environment for Research
Computer Science, Machine Learning
Xiong et al.: Parallel Thread Execution and FMHA
Computation and Language, Computer Science
Natural Language Prompts for Next-Step Prediction in Sequence-to-Sequence Models
Computation and Language, Computer Science
Adaptive Reasoning for Question Answering over Knowledge Graphs
Computer Science, Computer Vision and Pattern Recognition
Non-Autoregressive Image Captioning with Counterfactuals and Multi-Agent Learning
Copyright and Permissions in Academic Publishing: A Guide
Computer Science, Machine Learning
Unlocking Hidden Patterns in Data with Gaussian Mixture Models
Computer Science, Machine Learning
Efficient Graph Contrastive Learning with Group Discrimination
Computer Science, Computer Vision and Pattern Recognition
Exploring Efficient and Accurate Object Tracking Methods in Deep Learning
Robust Path Planning for Mobile Robots in Unknown Environments
Computer Science, Computer Science and Game Theory
Achieving Efficiency and Accuracy in Voting Systems through Complexity-Theoretic Approaches
Computer Science, Machine Learning
A Comparative Study of Graph Convolutional Neural Networks for Multi-Task Learning
Computer Science, Machine Learning