Computer Science, Computer Vision and Pattern Recognition
Month: May 2023
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Computer Science, Computer Vision and Pattern Recognition
Advanced Dynamic Human Editing in Complex Scenes with Efficient GAN Loss
Computer Science, Programming Languages
Machine Learning for Code Analysis and Optimization
Computer Science, Computer Vision and Pattern Recognition
Few-Shot Learning: A Comprehensive Review of Recent Approaches and Techniques
Computer Science, Machine Learning
Improving Hyperdimensional Computing for Efficient Speech Recognition
Computer Science, Programming Languages
Natural Language Libraries for Code Generation
Computer Science, Data Structures and Algorithms
Optimal Light Spanners: A Unified Framework
Computer Science, Computer Vision and Pattern Recognition
Efficient Image Transformers and Distillation through Attention
Computation and Language, Computer Science
Deep Learning Agents for Planning and Decision-Making in Complex Tasks
Computer Science, Computer Vision and Pattern Recognition
Uncovering Hidden Patterns in Data: A Comparative Study of Glass-Box and Black-Box Models
Computer Science, Machine Learning
Operationalizing Counterfactual Metrics: Incentives, Ranking, and Information Asymmetry
Computation and Language, Computer Science
Audience-Centric Text Simplification: Navigating Potential Errors and Misinterpretations
Computer Science, Machine Learning
Deep Learning for Computer Vision: A Comparative Study of Convolutional Neural Networks and Steerable Filter-Based Models
Computer Science, Machine Learning
AlpacaFarm: A Simulation Framework for Methods that Learn from Human Feedback.
Computation and Language, Computer Science
Locality-Aware Model Editing: Exploring the Limits of Language Models
Computer Science, Machine Learning
Accelerating Deep Neural Network Training with Memory-Centric Architectures
Computation and Language, Computer Science
Codegen: An Open Language Model for Code with Multi-Turn Program Synthesis
Computer Science, Machine Learning
Standardizing Energy Reporting in AI Development: A Key to Sustainable ML
Computer Science, Data Structures and Algorithms
Sparsiest Approximators of Probability Densities with Applications to Graphs
Computer Science, Computer Vision and Pattern Recognition