Computer Science, Computer Vision and Pattern Recognition
Month: November 2023
Page 23/30
Computer Science, Distributed, Parallel, and Cluster Computing
New Framework for Parallel Machine Learning
Computer Science, Machine Learning
Harnessing Large Language Models for Private Synthetic Text Generation
Computation and Language, Computer Science
Evaluating Reasoning Chains in Social Science through Expert Opinion
Computer Science, Computer Vision and Pattern Recognition
Reconstructing 3D Humans from Single Images
Computer Science, Software Engineering
Missed Papers in Search String: Impact on Addressing Research Questions
Computer Science, Computer Vision and Pattern Recognition
Limits of Transformers: Faith and Fate in Image Recognition
Computer Science, Information Theory
Skew Cyclic Codes: A New Generation of Error-Correcting Codes
Computer Science, Computer Vision and Pattern Recognition
Advancements in Continual Learning and Medical Image Analysis
Computer Science, Computer Vision and Pattern Recognition
Shape Captioning and Shape Generation: A Descriptive Approach
Computer Science, Social and Information Networks
Uncovering the Topics of Online Discussions: A Text Mining Approach
Computation and Language, Computer Science
Improving Language Models for Information Retrieval with Attention Mechanisms
Computer Science, Computer Vision and Pattern Recognition
DAP: Domain-aware Prompt Learning for Vision-and-Language Navigation.
Computer Science, Computer Vision and Pattern Recognition
Modifying Transformer-Based Diffusion Models with Conditional Guidance Shapes for Text-Guided Image and Video Editing
Electrical Engineering and Systems Science, Systems and Control
Lyapunov-Based Approaches for Control and Estimation: A Scalability and Sensitivity Analysis
Computer Science, Computer Vision and Pattern Recognition
Enhanced
Computer Science, Computer Vision and Pattern Recognition
Comparing Diffusion Models for Label-Efficient Learning
Computer Science, Computer Vision and Pattern Recognition
Adaptation and Synthetic Data: Strategies for Enriching Domain Learning
Computer Science, Machine Learning
Maxdropout: Deep Neural Network Regularization via Maximum Output Values
Computer Science, Computer Vision and Pattern Recognition