Search Results for author:
Found 5 papers, 3 papers with code
SambaLingo: Teaching Large Language Models New Languages
In this paper, we present a comprehensive investigation into the adaptation of LLMs to new languages.
Noise-Robust Bidirectional Learning with Dynamic Sample Reweighting
Deep neural networks trained with standard cross-entropy loss are more prone to memorize noisy labels, which degrades their performance.
Exploring Contextual Relationships for Cervical Abnormal Cell Detection
To mimic these behaviors, we propose to explore contextual relationships to boost the performance of cervical abnormal cell detection.
Semantically Contrastive Learning for Low-light Image Enhancement
Low-light image enhancement (LLE) remains challenging due to the unfavorable prevailing low-contrast and weak-visibility problems of single RGB images.
Cloud detection in Landsat-8 imagery in Google Earth Engine based on a deep neural network
This letter proposes a method to directly perform cloud detection in Landsat-8 imagery in GEE based on deep learning (DeepGEE-CD).
