Search Results for author:
Found 3 papers, 0 papers with code
Transformers in Reinforcement Learning: A Survey
We present a broad overview of how transformers have been adapted for several applications, including robotics, medicine, language modeling, cloud computing, and combinatorial optimization.
Pitfalls of Conditional Batch Normalization for Contextual Multi-Modal Learning
Despite the boost in performance observed by using CBN layers, our work reveals that the visual features learned by introducing auxiliary data via CBN deteriorates.
Revisiting Learnable Affines for Batch Norm in Few-Shot Transfer Learning
Batch Normalization is a staple of computer vision models, including those employed in few-shot learning.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
