NeurIPS 2025 Explorer
Concepts
Authors
Glossary
johnsanterre.github.io
transformer model
A type of deep learning architecture that utilizes self-attention mechanisms, allowing for parallel processing of input data, crucial for handling sequential data in tasks like language modeling.
5 papers
4DGT: Learning a 4D Gaussian Transformer Using Real-World Monocular Videos
DePass: Unified Feature Attributing by Simple Decomposed Forward Pass
Evolutionary Reasoning Does Not Arise in Standard Usage of Protein Language Models
Prior Forgetting and In-Context Overfitting
Reading Recognition in the Wild