Current research on cross-modal retrieval is mostly English-oriented, as...
Early prediction of Alzheimer's disease (AD) is crucial for timely
inter...
We propose the In-context Autoencoder (ICAE) for context compression in ...
Opioid related aberrant behaviors (ORAB) present novel risk factors for
...
Out-of-distribution (OOD) detection empowers the model trained on the cl...
Summarizing lengthy documents is a common and essential task in our dail...
Enhancing word usage is a desired feature for writing assistance. To fur...
We present an empirical evaluation of various outputs generated by nine ...
The goal of Few-Shot Continual Learning (FSCL) is to incrementally learn...
We introduce PoliteRewrite – a dataset for polite language rewrite
which...
The input and output of most text generation tasks can be transformed to...
This paper targets unsupervised skeleton-based action representation lea...
We propose eXtensible Prompt (X-Prompt) for prompting a large language m...
Prompts with different control signals (e.g., length, keywords, etc.) ca...
Smart contract, one of the most successful applications of blockchain, i...
Despite the recent developments in the field of cross-modal retrieval, t...
Liver cancer is one of the most common malignant diseases in the world.
...
Model smoothing is of central importance for obtaining a reliable teache...
Smart contract vulnerability detection draws extensive attention in rece...
Digital pathology slide is easy to store and manage, convenient to brows...
Pair-wise loss functions have been extensively studied and shown to
cont...
Multi-frame human pose estimation in complicated situations is challengi...
This paper targets the task of language-based moment localization. The
l...
Echocardiography is a powerful prenatal examination tool for early diagn...
The rapid growth of user-generated videos on the Internet has intensifie...
Fine-grained image categorization is challenging due to the subtle
inter...
Mining informative negative instances are of central importance to deep
...
Manipulating training data leads to robust neural models for MT....
The hubness problem widely exists in high-dimensional embedding space an...
A family of loss functions built on pair-based computation have been pro...
This paper attacks the challenging problem of zero-example video retriev...
Bitcoin blockchain faces the bitcoin scalability problem, for which bitc...
This paper introduces a novel neural network model for question answerin...
Standard LDA model suffers the problem that the topic assignment of each...