Computer Science, Computer Vision and Pattern Recognition
Tag: few-shot learning
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Electrical Engineering and Systems Science, Image and Video Processing
Unlocking Instance Segmentation Models with Prompt Engineering
Computer Science, Machine Learning
Simulating Distribution Shifts in Deep Learning Models for Improved Few-Shot Performance
Computer Science, Computer Vision and Pattern Recognition
Few-Shot Object Detection with Cross-Attention: A Comprehensive Review
Computer Science, Computer Vision and Pattern Recognition
Unlocking Few-Shot Learning with Semantic Types
Computer Science, Computer Vision and Pattern Recognition
Discretizing ODEs with Residual Neural Networks
Computer Science, Machine Learning
Explaining Agent Decisions: A Study on Natural Language Explanations
Computer Science, Computer Vision and Pattern Recognition
Few-Shot Segmentation: A New Perspective
Computation and Language, Computer Science
In-Context Learning vs. Weight Shifting: A Comparison of Approaches to Softmax Regression
Computer Science, Machine Learning
Combining Predictors for Improved Accuracy
Computation and Language, Computer Science
Unlocking Scalability in Language Models: A Comprehensive Analysis
Artificial Intelligence, Computer Science
Attention-based Neural Networks for Improved Language Understanding
Computation and Language, Computer Science