NeurIPS 2025 Explorer
Concepts
Authors
Glossary
johnsanterre.github.io
test-time optimization
A strategy where the model is fine-tuned or adapted during inference, based on incoming data, to enhance performance and accuracy in real-time applications.
3 papers
Afterburner: Reinforcement Learning Facilitates Self-Improving Code Efficiency Optimization
Precise Diffusion Inversion: Towards Novel Samples and Few-Step Models
Styl3R: Instant 3D Stylized Reconstruction for Arbitrary Scenes and Styles