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NADBenchmarks -- a compilation of Benchmark Datasets for Machine
  Learning Tasks related to Natural Disasters

NADBenchmarks -- a compilation of Benchmark Datasets for Machine Learning Tasks related to Natural Disasters

21 December 2022
A. Proma
Md. Saiful Islam
Stela Ciko
Raiyan Abdul Baten
E. Hoque
ArXivPDFHTML

Papers citing "NADBenchmarks -- a compilation of Benchmark Datasets for Machine Learning Tasks related to Natural Disasters"

4 / 4 papers shown
Title
AI for Anticipatory Action: Moving Beyond Climate Forecasting
AI for Anticipatory Action: Moving Beyond Climate Forecasting
Benjamin Q. Huynh
M. Kiang
AI4CE
25
0
0
28 Jul 2023
ClimateLearn: Benchmarking Machine Learning for Weather and Climate
  Modeling
ClimateLearn: Benchmarking Machine Learning for Weather and Climate Modeling
Tung Nguyen
Jason Jewik
Hritik Bansal
Prakhar Sharma
Aditya Grover
AI4Cl
AI4CE
36
29
0
04 Jul 2023
VIDI: A Video Dataset of Incidents
VIDI: A Video Dataset of Incidents
Duygu Sesver
Alp Eren Gençoglu
Ç. Yildiz
Zehra Günindi
Faeze Habibi
Z. A. Yazici
H. K. Ekenel
20
4
0
26 May 2022
The GEM Benchmark: Natural Language Generation, its Evaluation and
  Metrics
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics
Sebastian Gehrmann
Tosin P. Adewumi
Karmanya Aggarwal
Pawan Sasanka Ammanamanchi
Aremu Anuoluwapo
...
Nishant Subramani
Wei-ping Xu
Diyi Yang
Akhila Yerukola
Jiawei Zhou
VLM
246
283
0
02 Feb 2021
1