Computer Science, Software Engineering
Category: Computer Science
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Assessing Prosthetic Hand Performance Through Active Texture Identification
Computer Science, Computer Vision and Pattern Recognition
Synthesizing Novel Views of Images with Conditioned Latent Diffusion Models
Computer Science, Machine Learning
Improving Generalization in Deep Neural Networks through Low-Rank Approximations
Computer Science, Machine Learning
Differentially Private Synthetic Data Generation: A Review of Recent Approaches
Computer Science, Machine Learning
Uncovering the Hidden Relationships in Neural Network Representations
Computer Science, Human-Computer Interaction
Trends in Explainable AI Research: A Comprehensive Review of Recent Studies
Computer Science, Machine Learning
Neural Architecture Search for Time Series Forecasting: A Survey
Computation and Language, Computer Science
Semantic-Oriented Unlabeled Priming for Large-Scale Knowledge Editing
Computer Science, Cryptography and Security
Comparing Efficiency and Accuracy of NLP Techniques for SQL Injection Detection
Computer Science, Information Theory
Optimal and Suboptimal Solutions for Long-Term MSE Performance in Sensor Networks
Computer Science, Computer Vision and Pattern Recognition
Object Filtering and Backdoor Induction in Text-to-Image Synthesis
Computer Science, Programming Languages
Combining Language-Specific and Language-Generic Program Reduction Techniques
Computer Science, Computer Vision and Pattern Recognition
Enhancing Data Efficiency in Monocular Depth Estimation with Scene Adaptation and Adapters
Computer Science, Machine Learning
Experimental Evaluation of Graph Neural Networks for Dynamic Network Embeddings
Computer Science, Computer Vision and Pattern Recognition
Revolutionizing Point Cloud Processing: A Comparative Study of State-of-the-Art Methods
Integrating Digital Twin and Virtual Reality in Robotics Systems
Computer Science, Computer Vision and Pattern Recognition
Machine Learning Models for Traffic Prediction and Control
Computer Science, Machine Learning
Interpretable ML Explanations: A Framework for Personal or Classroom Use
