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Unsupervised Opinion Summarization Using Approximate Geodesics


Sep 15, 2022
Somnath Basu Roy Chowdhury, Nicholas Monath, Avinava Dubey, Amr Ahmed, Snigdha Chaturvedi

* Work in Progress 

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Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge


Feb 24, 2022
Sharib Ali, Noha Ghatwary, Debesh Jha, Ece Isik-Polat, Gorkem Polat, Chen Yang, Wuyang Li, Adrian Galdran, Miguel-Ángel González Ballester, Vajira Thambawita, Steven Hicks, Sahadev Poudel, Sang-Woong Lee, Ziyi Jin, Tianyuan Gan, ChengHui Yu, JiangPeng Yan, Doyeob Yeo, Hyunseok Lee, Nikhil Kumar Tomar, Mahmood Haithmi, Amr Ahmed, Michael A. Riegler, Christian Daul, Pål Halvorsen, Jens Rittscher, Osama E. Salem, Dominique Lamarque, Renato Cannizzaro, Stefano Realdon, Thomas de Lange, James E. East

* 26 pages 

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When in Doubt, Summon the Titans: Efficient Inference with Large Models


Oct 19, 2021
Ankit Singh Rawat, Manzil Zaheer, Aditya Krishna Menon, Amr Ahmed, Sanjiv Kumar


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Hierarchically Regularized Deep Forecasting


Jun 14, 2021
Biswajit Paria, Rajat Sen, Amr Ahmed, Abhimanyu Das


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Exact and Approximate Hierarchical Clustering Using A*


Apr 14, 2021
Craig S. Greenberg, Sebastian Macaluso, Nicholas Monath, Avinava Dubey, Patrick Flaherty, Manzil Zaheer, Amr Ahmed, Kyle Cranmer, Andrew McCallum

* 30 pages, 9 figures 

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A Review of Machine Learning Techniques for Applied Eye Fundus and Tongue Digital Image Processing with Diabetes Management System


Dec 30, 2020
Wei Xiang Lim, Zhiyuan Chen, Amr Ahmed, Tissa Chandesa, Iman Liao

* This paper is published in The International Conference on Digital Image and Signal Processing (DISP 2019)At: Oxford, United Kingdom 

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Amazon SageMaker Autopilot: a white box AutoML solution at scale


Dec 16, 2020
Piali Das, Valerio Perrone, Nikita Ivkin, Tanya Bansal, Zohar Karnin, Huibin Shen, Iaroslav Shcherbatyi, Yotam Elor, Wilton Wu, Aida Zolic, Thibaut Lienart, Alex Tang, Amr Ahmed, Jean Baptiste Faddoul, Rodolphe Jenatton, Fela Winkelmolen, Philip Gautier, Leo Dirac, Andre Perunicic, Miroslav Miladinovic, Giovanni Zappella, Cédric Archambeau, Matthias Seeger, Bhaskar Dutt, Laurence Rouesnel


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Amazon SageMaker Automatic Model Tuning: Scalable Black-box Optimization


Dec 15, 2020
Valerio Perrone, Huibin Shen, Aida Zolic, Iaroslav Shcherbatyi, Amr Ahmed, Tanya Bansal, Michele Donini, Fela Winkelmolen, Rodolphe Jenatton, Jean Baptiste Faddoul, Barbara Pogorzelska, Miroslav Miladinovic, Krishnaram Kenthapadi, Matthias Seeger, Cédric Archambeau


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Non-Stationary Latent Bandits


Dec 01, 2020
Joey Hong, Branislav Kveton, Manzil Zaheer, Yinlam Chow, Amr Ahmed, Mohammad Ghavamzadeh, Craig Boutilier

* 15 pages, 4 figures 

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Scalable Bottom-Up Hierarchical Clustering


Nov 04, 2020
Nicholas Monath, Avinava Dubey, Guru Guruganesh, Manzil Zaheer, Amr Ahmed, Andrew McCallum, Gokhan Mergen, Marc Najork, Mert Terzihan, Bryon Tjanaka, Yuan Wang, Yuchen Wu


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