8 citations · 14 across the 6 of their papers we have counts for
6 papers
Improvements & Evaluations on the MLCommons CloudMask Benchmark
Varshitha Chennamsetti, Laiba Mehnaz, Dan Zhao +2
In this paper, we report the performance benchmarking results of deep learning models on MLCommons' Science cloud-masking benchmark using a high-performance computing cluster at Ne…
MLCommons Cloud Masking Benchmark with Early Stopping
Varshitha Chennamsetti, Gregor von Laszewski, Ruochen Gu +6
In this paper, we report on work performed for the MLCommons Science Working Group on the cloud masking benchmark. MLCommons is a consortium that develops and maintains several sci…
Artificial Intelligence for Scientific Research: Authentic Research Education Framework
Sergey V Samsonau, Aziza Kurbonova, Lu Jiang +7
We report a framework that enables the wide adoption of authentic research educational methodology at various schools by addressing common barriers. The guiding principles we prese…
GupShup: An Annotated Corpus for Abstractive Summarization of Open-Domain Code-Switched Conversations
Laiba Mehnaz, Debanjan Mahata, Rakesh Gosangi +7
Code-switching is the communication phenomenon where speakers switch between different languages during a conversation. With the widespread adoption of conversational agents and ch…
Suggestion Mining from Online Reviews using ULMFiT
Sarthak Anand, Debanjan Mahata, Kartik Aggarwal +6
In this paper we present our approach and the system description for Sub Task A of SemEval 2019 Task 9: Suggestion Mining from Online Reviews and Forums. Given a sentence, the task…
Identifying Offensive Posts and Targeted Offense from Twitter
Haimin Zhang, Debanjan Mahata, Simra Shahid +5
In this paper we present our approach and the system description for Sub-task A and Sub Task B of SemEval 2019 Task 6: Identifying and Categorizing Offensive Language in Social Med…