93 citations
- Verizon Media (United States)5 papers
- Centre National de la Recherche ScientifiqueFR2 papers
- Charles Sturt UniversityAU2 papers
- Chittagong University of Engineering & TechnologyBD2 papers
- City University of New YorkUS2 papers
- Yahoo (United States)US2 papers
- Altamira TechnologiesUS1 paper
- Astronomy and SpaceAU1 paper
- Brookhaven National LaboratoryUS1 paper
- Budker Institute of Nuclear PhysicsRU1 paper
- Centro de AstrobiologíaES1 paper
- Columbia UniversityUS1 paper
26 papers
Efficient Multi-Task Learning via Generalist Recommender
Luyang Wang, Cangcheng Tang, Chongyang Zhang +3
Multi-task learning (MTL) is a common machine learning technique that allows the model to share information across different tasks and improve the accuracy of recommendations for a…
A Hybrid Strategy for Chat Transcript Summarization
Pratik K. Biswas
Text summarization is the process of condensing a piece of text to fewer sentences, while still preserving its content. Chat transcript, in this context, is a textual copy of a dig…
Clinical BERTScore: An Improved Measure of Automatic Speech Recognition Performance in Clinical Settings
Joel Shor, Ruyue Agnes Bi, Subhashini Venugopalan +3
Automatic Speech Recognition (ASR) in medical contexts has the potential to save time, cut costs, increase report accuracy, and reduce physician burnout. However, the healthcare in…
Reformulating van Rijsbergen's metric for weighted binary cross-entropy
Satesh Ramdhani
The separation of performance metrics from gradient based loss functions may not always give optimal results and may miss vital aggregate information. This paper investigates incor…
The Sun's Mean Line-of-Sight Field
Neil R. Sheeley
We regard the Sun-as-a-star magnetic field (i.e. the mean field) as a filter for the spherical harmonic components of the photospheric field, and calculate the transmission coeffic…
Classification of Astronomical Bodies by Efficient Layer Fine-Tuning of Deep Neural Networks
Sabeesh Ethiraj, Bharath Kumar Bolla
The SDSS-IV dataset contains information about various astronomical bodies such as Galaxies, Stars, and Quasars captured by observatories. Inspired by our work on deep multimodal l…