专题:Domain Adaptation and Few-Shot Learning

This cluster of papers focuses on the advances in transfer learning and domain adaptation, including topics such as few-shot learning, unsupervised learning, representation learning, deep networks, meta-learning, visual recognition, semi-supervised learning, and clustering analysis.
最新文献
COM-PACT: COMponent-Aware Pruning for Accelerated Control Tasks in Latent Space Models

article Full Text OpenAlex

BRAU-Net++: U-Shaped Hybrid CNN-Transformer Network for Medical Image Segmentation

article Full Text OpenAlex

AI Visibility Aggregation Threshold Theorem

article Full Text OpenAlex

AI Visibility Semantic Stability and Drift Theorem

article Full Text OpenAlex

Med-R1: Reinforcement Learning for Generalizable Medical Reasoning in Vision-Language Models

article Full Text OpenAlex

Deep transfer learning for image classification: a survey

article Full Text OpenAlex

MASF-YOLO: An Improved YOLOv11 Network for Small Object Detection on Drone View

article Full Text OpenAlex

Source-free domain adaptation for cross-domain remaining useful life prediction: A distributed federated learning perspective

article Full Text OpenAlex

A review of machine learning with small and limited data

article Full Text OpenAlex

MoE-LLaVA : Mixture of Experts for Large Vision-Language Models

article Full Text OpenAlex

近5年高被引文献
Detecting Functionality-Specific Vulnerabilities via Retrieving Individual Functionality-Equivalent APIs in Open-Source Repositories

preprint Full Text OpenAlex 16040 FWCI4228.7736

Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

preprint Full Text OpenAlex 15638 FWCI0

A ConvNet for the 2020s

article Full Text OpenAlex 6463 FWCI365.8912

Caltech-UCSD Birds-200-2011 Dataset

article Full Text OpenAlex 3929 FWCI0

Learning to Prompt for Vision-Language Models

article Full Text OpenAlex 2387 FWCI226.3769

Swin Transformer V2: Scaling Up Capacity and Resolution

article Full Text OpenAlex 2072 FWCI118.8518

Fast Kd-Trees for the Kullback-Leibler Divergence and Other Decomposable Bregman Divergences

preprint Full Text OpenAlex 2067 FWCI1936.4883

Ensemble deep learning: A review

review Full Text OpenAlex 1907 FWCI247.1581

Focal and efficient IOU loss for accurate bounding box regression

article Full Text OpenAlex 1742 FWCI168.6595

A Metaverse: Taxonomy, Components, Applications, and Open Challenges

article Full Text OpenAlex 1692 FWCI168.2521