1 code implementation • 14 Mar 2024 • Afrina Tabassum, Dung Tran, Trung Dang, Ismini Lourentzou, Kazuhito Koishida
Masked Autoencoders (MAEs) learn rich low-level representations from unlabeled data but require substantial labeled data to effectively adapt to downstream tasks.
no code implementations • 29 Dec 2023 • Meghana Holla, Ismini Lourentzou
Zero-shot Natural Language-Video Localization (NLVL) methods have exhibited promising results in training NLVL models exclusively with raw video data by dynamically generating video segments and pseudo-query annotations.
no code implementations • 21 Feb 2023 • Tianjiao Yu, Sukrit Venkatagiri, Ismini Lourentzou, Kurt Luther
Social media platforms have enabled extremists to organize violent events, such as the 2021 U. S. Capitol Attack.
1 code implementation • 9 Feb 2023 • Ying Shen, Ismini Lourentzou
The research community has shown increasing interest in designing intelligent embodied agents that can assist humans in accomplishing tasks.
no code implementations • 21 Jan 2023 • Sai Gurrapu, Ajay Kulkarni, Lifu Huang, Ismini Lourentzou, Laura Freeman, Feras A. Batarseh
Recent improvements in natural language generation have made rationalization an attractive technique because it is intuitive, human-comprehensible, and accessible to non-technical users.
Explainable Artificial Intelligence (XAI) Question Answering +3
1 code implementation • 8 Aug 2022 • Gaurang Karwande, Amarachi Mbakawe, Joy T. Wu, Leo A. Celi, Mehdi Moradi, Ismini Lourentzou
Despite the progress in utilizing deep learning to automate chest radiograph interpretation and disease diagnosis tasks, change between sequential Chest X-rays (CXRs) has received limited attention.
1 code implementation • 15 Jun 2022 • Md Mahim Anjum Haque, Wasi Uddin Ahmad, Ismini Lourentzou, Chris Brown
To address this issue, we introduce FixEval, a benchmark comprising of buggy code submissions to competitive programming problems and their corresponding fixes.
no code implementations • 2 Jun 2022 • Afrina Tabassum, Muntasir Wahed, Hoda Eldardiry, Ismini Lourentzou
One of the challenges in contrastive learning is the selection of appropriate \textit{hard negative} examples, in the absence of label information.
no code implementations • 21 Apr 2022 • Muntasir Wahed, Afrina Tabassum, Ismini Lourentzou
Contrastive learning has gained popularity as an effective self-supervised representation learning technique.
no code implementations • 26 Aug 2021 • Muntasir Wahed, Daniel Gruhl, Alfredo Alba, Anna Lisa Gentile, Petar Ristoski, Chad Deluca, Steve Welch, Ismini Lourentzou
In this paper, we consider the problem of fast approximate corpus expansion given a small seed corpus with a few relevant documents as a query, with the goal of capturing the long tail of a domain-specific set of concept terms.
1 code implementation • 31 Jul 2021 • Joy T. Wu, Nkechinyere N. Agu, Ismini Lourentzou, Arjun Sharma, Joseph A. Paguio, Jasper S. Yao, Edward C. Dee, William Mitchell, Satyananda Kashyap, Andrea Giovannini, Leo A. Celi, Mehdi Moradi
Despite the progress in automatic detection of radiologic findings from chest X-ray (CXR) images in recent years, a quantitative evaluation of the explainability of these models is hampered by the lack of locally labeled datasets for different findings.
no code implementations • 20 May 2021 • Nkechinyere N. Agu, Joy T. Wu, Hanqing Chao, Ismini Lourentzou, Arjun Sharma, Mehdi Moradi, Pingkun Yan, James Hendler
Radiologists usually observe anatomical regions of chest X-ray images as well as the overall image before making a decision.
no code implementations • 13 May 2021 • Safa Messaoud, Ismini Lourentzou, Assma Boughoula, Mona Zehni, Zhizhen Zhao, ChengXiang Zhai, Alexander G. Schwing
The recent growth of web video sharing platforms has increased the demand for systems that can efficiently browse, retrieve and summarize video content.
1 code implementation • 17 Oct 2020 • Arkin Dharawat, Ismini Lourentzou, Alex Morales, ChengXiang Zhai
Several works study health misinformation detection, yet little attention has been given to the perceived severity of misinformation posts.
1 code implementation • 15 Sep 2020 • Alexandros Karargyris, Satyananda Kashyap, Ismini Lourentzou, Joy Wu, Arjun Sharma, Matthew Tong, Shafiq Abedin, David Beymer, Vandana Mukherjee, Elizabeth A. Krupinski, Mehdi Moradi
We report deep learning experiments that utilize the attention maps produced by eye gaze dataset to show the potential utility of this data.
1 code implementation • 12 Apr 2019 • Ismini Lourentzou, Kabir Manghnani, ChengXiang Zhai
Social media offer an abundant source of valuable raw data, however informal writing can quickly become a bottleneck for many natural language processing (NLP) tasks.
Ranked #3 on Lexical Normalization on LexNorm