Sami Abu-El-Haija
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General Geospatial Inference with a Population Dynamics Foundation Model
Chaitanya Kamath
Prithul Sarker
Joydeep Paul
Yael Mayer
Sheila de Guia
Jamie McPike
Adam Boulanger
David Schottlander
Yao Xiao
Manjit Chakravarthy Manukonda
Monica Bharel
Von Nguyen
Luke Barrington
Niv Efron
Krish Eswaran
Shravya Shetty
(2024) (to appear)
SubMix: Learning to Mix Graph Sampling Heuristics
Josh Dillon
Johannes Gasteiger
2023
TpuGraphs: Performance Prediction Datasets on Large Tensor Computational Graphs
Mangpo Phothilimthana
Kaidi Cao
Charith Mendis
Advances in Neural Information Processing Systems (2023)
Learning Large Graph Property Prediction via Graph Segment Training
Kaidi Cao
Mangpo Phothilimthana
Charith Mendis
Jure Leskovec
Advances in Neural Information Processing Systems (2023)
End-to-end Learning of Compressible Features
Johannes Ballé
Abhinav Shrivastava
2020 IEEE Int. Conf. on Image Processing (ICIP)
Collaborative Deep Metric Learning for Video Understanding
Joonseok Lee
Balakrishnan Varadarajan
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, ACM (2018)
Large-Scale Content-Only Video Recommendation
Joonseok Lee
International Conference on Computer Vision Workshop, Computer Vision Foundation (2017), pp. 987 - 995
Learning Edge Representations via Low-Rank Asymmetric Projections
Rami Al-Rfou
ACM International Conference on Information and Knowledge Management (2017) (to appear)
Detecting Events and Key Actors in Multi-Person Videos
Vignesh Ramanathan
Jonathan Huang
Alexander Gorban
Li Fei-Fei
Computer Vision and Pattern Recognition (CVPR) (2016)
