Search Results for author:
Found 4 papers, 3 papers with code
Exploration and Anti-Exploration with Distributional Random Network Distillation
To address this issue, we introduce the Distributional RND (DRND), a derivative of the RND.
Using Human Feedback to Fine-tune Diffusion Models without Any Reward Model
The direct preference optimization (DPO) method, effective in fine-tuning large language models, eliminates the necessity for a reward model.
Hierarchical Autoencoder-based Lossy Compression for Large-scale High-resolution Scientific Data
Our model achieves a compression ratio of 140 on several benchmark data sets without compromising the reconstruction quality.
ERNAS: An Evolutionary Neural Architecture Search for Magnetic Resonance Image Reconstructions
Magnetic resonance imaging (MRI) is one of the noninvasive imaging modalities that can produce high-quality images.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
