Search Results for author: Prakhar Sharma

Found 8 papers, 3 papers with code

ClimateLearn: Benchmarking Machine Learning for Weather and Climate Modeling

1 code implementation NeurIPS 2023 Tung Nguyen, Jason Jewik, Hritik Bansal, Prakhar Sharma, Aditya Grover

Modeling weather and climate is an essential endeavor to understand the near- and long-term impacts of climate change, as well as inform technology and policymaking for adaptation and mitigation efforts.

Benchmarking Weather Forecasting

Scalable Microservice Forensics and Stability Assessment Using Variational Autoencoders

no code implementations23 Apr 2021 Prakhar Sharma, Phillip Porras, Steven Cheung, James Carpenter, Vinod Yegneswaran

We present a deep learning based approach to containerized application runtime stability analysis, and an intelligent publishing algorithm that can dynamically adjust the depth of process-level forensics published to a backend incident analysis repository.

IIT-KGP at MEDIQA 2019: Recognizing Question Entailment using Sci-BERT stacked with a Gradient Boosting Classifier

no code implementations WS 2019 Prakhar Sharma, Sumegh Roychowdhury

Official System Description paper of Team IIT-KGP ranked 1st in the Development phase and 3rd in Testing Phase in MEDIQA 2019 - Recognizing Question Entailment (RQE) Shared Task of BioNLP workshop - ACL 2019.

Question Answering Retrieval +1

Entity Personalized Talent Search Models with Tree Interaction Features

no code implementations25 Feb 2019 Cagri Ozcaglar, Sahin Geyik, Brian Schmitz, Prakhar Sharma, Alex Shelkovnykov, Yiming Ma, Erik Buchanan

Talent Search systems aim to recommend potential candidates who are a good match to the hiring needs of a recruiter expressed in terms of the recruiter's search query or job posting.


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