Search Results for author:
Found 3 papers, 1 papers with code
Improved Canonicalization for Model Agnostic Equivariance
This work introduces a novel approach to achieving architecture-agnostic equivariance in deep learning, particularly addressing the limitations of traditional equivariant architectures and the inefficiencies of the existing architecture-agnostic methods.
Efficient Dynamics Modeling in Interactive Environments with Koopman Theory
We approach this problem from the lens of Koopman theory, where the nonlinear dynamics of the environment can be linearized in a high-dimensional latent space.
Team Enigma at ArgMining-EMNLP 2021: Leveraging Pre-trained Language Models for Key Point Matching
We present the system description for our submission towards the Key Point Analysis Shared Task at ArgMining 2021.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
