Large language models (LLMs) have triggered tremendous success to empowe...
Long-term visual localization is an essential problem in robotics and
co...
Recently, studies show that deep learning-based automatic speech recogni...
In recent years, deep learning (DL) models have achieved significant pro...
This paper presents our solution for optimization task of the 3rd ACM-Ch...
Visual localization is the task of estimating camera pose in a known sce...
Prompting pre-trained language models has achieved impressive performanc...
Self-supervised methods have significantly closed the gap with end-to-en...
Relation classification models are conventionally evaluated using only a...
Pre-trained language models (PLM) are effective components of few-shot n...
The goal of few-shot classification is to classify new categories with f...
Optimization of deep learning algorithms to approach Nash Equilibrium re...
With the wide use of Automatic Speech Recognition (ASR) in applications ...
Low-resource language translation is a challenging but socially valuable...
It is critical to predict the motion of surrounding vehicles for self-dr...
Concolic execution is a powerful program analysis technique for explorin...
ASR (automatic speech recognition) systems like Siri, Alexa, Google Voic...