Search Results for author:
Found 5 papers, 5 papers with code
ViewFormer: NeRF-free Neural Rendering from Few Images Using Transformers
We propose a 2D-only method that maps multiple context views and a query pose to a new image in a single pass of a neural network.
Visual Navigation in Real-World Indoor Environments Using End-to-End Deep Reinforcement Learning
This precludes the use of the learned policy on a real robot.
SymFormer: End-to-end symbolic regression using transformer-based architecture
The task of finding formulas from a set of observed inputs and outputs is called symbolic regression.
Vision-based Navigation Using Deep Reinforcement Learning
However, the application of deep RL to visual navigation with realistic environments is a challenging task.
AuGPT: Auxiliary Tasks and Data Augmentation for End-To-End Dialogue with Pre-Trained Language Models
Our model substantially outperforms the baseline on the MultiWOZ data and shows competitive performance with state of the art in both automatic and human evaluation.
Ranked #3 on
End-To-End Dialogue Modelling
on MULTIWOZ 2.0
(using extra training data)
