Search Results for author:
Found 2 papers, 1 papers with code
Checkpoint Merging via Bayesian Optimization in LLM Pretraining
The rapid proliferation of large language models (LLMs) such as GPT-4 and Gemini underscores the intense demand for resources during their training processes, posing significant challenges due to substantial computational and environmental costs.
Training Weakly Supervised Video Frame Interpolation With Events
Though trained on low frame-rate videos, our framework outperforms existing models trained with full high frame-rate videos (and events) on both GoPro dataset and a new real event-based dataset.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
