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20182023
most citedLooking GLAMORous: Vehicle Re-Id in Heterogeneous Cameras Networks with Global and Local Attention

24 citations · 62 across the 20 of their papers we have counts for

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Showing 2022Show all

7 papers · 1 filter

cs.CL2022★ 1 cited

Time-Aware Datasets are Adaptive Knowledgebases for the New Normal

Abhijit Suprem, Sanjyot Vaidya, Joao Eduardo Ferreira +1

Recent advances in text classification and knowledge capture in language models have relied on availability of large-scale text datasets. However, language models are trained on st…

cs.CV2022

Targeted Attention for Generalized- and Zero-Shot Learning

Abhijit Suprem

The Zero-Shot Learning (ZSL) task attempts to learn concepts without any labeled data. Unlike traditional classification/detection tasks, the evaluation environment is provided uns…

cs.CV2022

ATEAM: Knowledge Integration from Federated Datasets for Vehicle Feature Extraction using Annotation Team of Experts

Abhijit Suprem, Purva Singh, Suma Cherkadi +3

The vehicle recognition area, including vehicle make-model recognition (VMMR), re-id, tracking, and parts-detection, has made significant progress in recent years, driven by severa…

cs.LG2022

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…

cs.LG2022★ 2 cited

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…

cs.CV2022★ 1 cited

Constructive Interpretability with CoLabel: Corroborative Integration, Complementary Features, and Collaborative Learning

Abhijit Suprem, Sanjyot Vaidya, Suma Cherkadi +3

Machine learning models with explainable predictions are increasingly sought after, especially for real-world, mission-critical applications that require bias detection and risk mi…

cs.LG2022★ 5 cited

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…