Search Results for author:
Found 2 papers, 0 papers with code
Predicting the Initial Conditions of the Universe using a Deterministic Neural Network
Finding the initial conditions that led to the current state of the universe is challenging because it involves searching over an intractable input space of initial conditions, along with modeling their evolution via tools such as N-body simulations which are computationally expensive.
IITK at SemEval-2021 Task 10: Source-Free Unsupervised Domain Adaptation using Class Prototypes
To tackle this issue of availability of annotated data, a lot of research has been done on unsupervised domain adaptation that tries to generate systems for an unlabelled target domain data, given labeled source domain data.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
