Search Results for author:
Found 2 papers, 1 papers with code
Tree-Based Hard Attention with Self-Motivation for Large Language Models
Moreover, TEAROOM comprises a self-motivation strategy for another LLM equipped with a trainable adapter and a linear layer.
Dense Teacher: Dense Pseudo-Labels for Semi-supervised Object Detection
To date, the most powerful semi-supervised object detectors (SS-OD) are based on pseudo-boxes, which need a sequence of post-processing with fine-tuned hyper-parameters.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
