State-of-the-art few-shot learning (FSL) methods leverage prompt-based
f...
The robustness of multimodal deep learning models to realistic changes i...
Labeling data is essential for training text classifiers but is often
di...
As multimodal learning finds applications in a wide variety of high-stak...
Advances in Natural Language Processing (NLP) have revolutionized the wa...
The COVID-19 pandemic has disproportionately impacted the lives of
minor...
Moderators and automated methods enforce bans on malicious users who eng...
With the global metamorphosis of the beauty industry and the rising dema...
Author stylized rewriting is the task of rewriting an input text in a
pa...
While recent advances in language modeling have resulted in powerful
gen...
We describe our system for WNUT-2020 shared task on the identification o...
With rising concern around abusive and hateful behavior on social media
...
Interactive search sessions often contain multiple queries, where the us...
Given the recent progress in language modeling using Transformer-based n...
With a growing interest in modeling inherent subjectivity in natural
lan...
Data analytics software applications have become an integral part of the...
We introduce the problem of learning affective correspondence between au...