NeurIPS 2025 Explorer
Concepts
Authors
Glossary
johnsanterre.github.io
back-propagation
A fundamental algorithm used for training neural networks, where gradients of loss are propagated backward through the network to update weights.
4 papers
Bilevel ZOFO: Efficient LLM Fine-Tuning and Meta-Training
CPO: Condition Preference Optimization for Controllable Image Generation
Improving the Straight-Through Estimator with Zeroth-Order Information
Sparse MeZO: Less Parameters for Better Performance in Zeroth-Order LLM Fine-Tuning