24 citations · 47 across the 14 of their papers we have counts for
5 papers · 1 filter
EdnaML: A Declarative API and Framework for Reproducible Deep Learning
Abhijit Suprem, Sanjyot Vaidya, Avinash Venugopal +2
Machine Learning has become the bedrock of recent advances in text, image, video, and audio processing and generation. Most production systems deal with several models during deplo…
Evaluating Generalizability of Fine-Tuned Models for Fake News Detection
Abhijit Suprem, Calton Pu
The Covid-19 pandemic has caused a dramatic and parallel rise in dangerous misinformation, denoted an `infodemic' by the CDC and WHO. Misinformation tied to the Covid-19 infodemic…
MiDAS: Multi-integrated Domain Adaptive Supervision for Fake News Detection
Abhijit Suprem, Calton Pu
COVID-19 related misinformation and fake news, coined an 'infodemic', has dramatically increased over the past few years. This misinformation exhibits concept drift, where the dist…
Event Detection in Noisy Streaming Data with Combination of Corroborative and Probabilistic Sources
Abhijit Suprem, Calton Pu
Global physical event detection has traditionally relied on dense coverage of physical sensors around the world; while this is an expensive undertaking, there have not been alterna…
Demystifying Learning Rate Policies for High Accuracy Training of Deep Neural Networks
Yanzhao Wu, Ling Liu, Juhyun Bae +6
Learning Rate (LR) is an important hyper-parameter to tune for effective training of deep neural networks (DNNs). Even for the baseline of a constant learning rate, it is non-trivi…