The MultiCoNER II task aims to detect complex, ambiguous, and fine-grain...
A novel unconstrained optimization model named weighted trace-penalty
mi...
We propose a mixed precision Jacobi algorithm for computing the singular...
Nesterov's accelerated gradient method (NAG) is widely used in problems ...
Vision transformers (ViTs) have pushed the state-of-the-art for various
...
This paper proves the global convergence of a triangularized
orthogonali...
Data augmentation (DA) aims to generate constrained and diversified data...
We propose a VHL-FIHT algorithm for matrix recovery in blind super-resol...
Mixup is a recent regularizer for current deep classification networks.
...
This paper studies the spectral estimation problem of estimating the
loc...
Frigo et al. proposed an ideal cache model and a recursive technique to
...
Emotion Recognition in Conversations (ERC) is essential for building
emp...
We examine the possibility of using a reinforcement learning (RL) algori...
We consider the problem of resolving r point sources from n samples at
t...
A novel orthogonalization-free method together with two specific algorit...
Task 1 of the DSTC8-track1 challenge aims to develop an end-to-end
multi...
Matrix completion is about recovering a matrix from its partial revealed...