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Found 15 papers, 4 papers with code
Balancing Act: Constraining Disparate Impact in Sparse Models
Model pruning is a popular approach to enable the deployment of large deep learning models on edge devices with restricted computational or storage capacities.
Bitions@DravidianLangTech-EACL2021: Ensemble of Multilingual Language Models with Pseudo Labeling for offence Detection in Dravidian Languages
Our model is able to handle code-mixed data as well as instances where the script used is mixed (for instance, Tamil and Latin).
Can Self Reported Symptoms Predict Daily COVID-19 Cases?
The models are developed at two levels of data granularity - local models, which are trained at the state level, and a single global model which is trained on the combined data aggregated across all states.
Omega: Optimistic EMA Gradients
Stochastic min-max optimization has gained interest in the machine learning community with the advancements in GANs and adversarial training.
Proximity Sensing: Modeling and Understanding Noisy RSSI-BLE Signals and Other Mobile Sensor Data for Digital Contact Tracing
As we await a vaccine, social-distancing via efficient contact tracing has emerged as the primary health strategy to dampen the spread of COVID-19.
Clinical Landscape of COVID-19 Testing: Difficult Choices
The coronavirus disease 2019 (COVID-19) pandemic has spread rapidly across the world, leading to enormous amounts of human death and economic loss.
Digital Landscape of COVID-19 Testing: Challenges and Opportunities
We summarize the challenges experienced using these tools in terms of quality of information, privacy, and user-centric issues.
Computers and Society
COVID-19 Tests Gone Rogue: Privacy, Efficacy, Mismanagement and Misunderstandings
In this work, we discuss challenges complicating the existing covid-19 testing ecosystem and highlight the need to improve the testing experience for the user and reduce privacy invasions.
Computers and Society
Hostility Detection and Covid-19 Fake News Detection in Social Media
Withtheadventofsocialmedia, therehasbeenanextremely rapid increase in the content shared online.
MIT SafePaths Card (MiSaCa): Augmenting Paper Based Vaccination Cards with Printed Codes
In this early draft, we describe a user-centric, card-based system for vaccine distribution.
Computers and Society Cryptography and Security
COVID-19 Outbreak Prediction and Analysis using Self Reported Symptoms
In this study, we understand trends in the spread of COVID-19 by utilizing the results of self-reported COVID-19 symptoms surveys as an alternative to COVID-19 testing reports.
Improved Customer Transaction Classification using Semi-Supervised Knowledge Distillation
Further, using an ALBERT model (it has 33x fewer parameters vis-a-vis parameters of RoBERTa), with RoBERTa as the Teacher, we see a performance similar to that of RoBERTa and better performance over unadapted ALBERT.
Challenges of Equitable Vaccine Distribution in the COVID-19 Pandemic
The COVID-19 pandemic has led to a need for widespread and rapid vaccine development.
Vaccination Worldwide: Strategies, Distribution and Challenges
It is a bane of the \"uber connected world that we live in that this virus has affected almost all countries and caused mortality and economic upheaval at a scale whose effects are going to be felt for generations to come.
Offense Detection in Dravidian Languages using Code-Mixing Index based Focal Loss
To summarize, our model can handle offensive language detection in a low-resource, class imbalanced, multilingual and code-mixed setting.
