Search Results for author:
Found 6 papers, 1 papers with code
N-Grammer: Augmenting Transformers with latent n-grams
Transformer models have recently emerged as one of the foundational models in natural language processing, and as a byproduct, there is significant recent interest and investment in scaling these models.
Ranked #7 on
Language Modelling
on C4
Traders in a Strange Land: Agent-based discrete-event market simulation of the Figgie card game
We develop a strategy, the "bottom-feeder", which estimates value by observing orders sent by other agents, and find that it limits the success of fundamentalists.
End-to-End Learning and Intervention in Games
In this paper, we provide a unified framework for learning and intervention in games.
Data-Free Point Cloud Network for 3D Face Recognition
To ease the inconsistent distribution between model data and real faces, different point sampling methods are used in train and test phase.
Early Predictions for Medical Crowdfunding: A Deep Learning Approach Using Diverse Inputs
The prediction model and the interpretable insights can be applied to assist fundraisers with better promoting their fundraising campaigns and can potentially help crowdfunding platforms to provide more timely feedback to all fundraisers.
GLAD: Group Anomaly Detection in Social Media Analysis- Extended Abstract
Existing group anomaly detection approaches rely on the assumption that the groups are known, which can hardly be true in real world social media applications.
