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Perceiver IO: A General Architecture for Structured Inputs & Outputs


Aug 02, 2021
Andrew Jaegle, Sebastian Borgeaud, Jean-Baptiste Alayrac, Carl Doersch, Catalin Ionescu, David Ding, Skanda Koppula, Daniel Zoran, Andrew Brock, Evan Shelhamer, Olivier Hénaff, Matthew M. Botvinick, Andrew Zisserman, Oriol Vinyals, João Carreira

* Code: https://dpmd.ai/perceiver-code 

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Efficient Visual Pretraining with Contrastive Detection


Mar 19, 2021
Olivier J. Hénaff, Skanda Koppula, Jean-Baptiste Alayrac, Aaron van den Oord, Oriol Vinyals, João Carreira

* Technical report 

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A Deep Learning Approach for Characterizing Major Galaxy Mergers


Feb 09, 2021
Skanda Koppula, Victor Bapst, Marc Huertas-Company, Sam Blackwell, Agnieszka Grabska-Barwinska, Sander Dieleman, Andrea Huber, Natasha Antropova, Mikolaj Binkowski, Hannah Openshaw, Adria Recasens, Fernando Caro, Avishai Deke, Yohan Dubois, Jesus Vega Ferrero, David C. Koo, Joel R. Primack, Trevor Back

* Third Workshop on Machine Learning and the Physical Sciences (NeurIPS 2020), Vancouver, Canada 

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Accurate, Low-Latency Visual Perception for Autonomous Racing:Challenges, Mechanisms, and Practical Solutions


Jul 28, 2020
Kieran Strobel, Sibo Zhu, Raphael Chang, Skanda Koppula


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EDEN: Enabling Energy-Efficient, High-Performance Deep Neural Network Inference Using Approximate DRAM


Oct 12, 2019
Skanda Koppula, Lois Orosa, Abdullah Giray Yağlıkçı, Roknoddin Azizi, Taha Shahroodi, Konstantinos Kanellopoulos, Onur Mutlu

* This work is to appear at MICRO 2019 

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Understanding Recurrent Neural State Using Memory Signatures


Feb 11, 2018
Skanda Koppula, Khe Chai Sim, Kean Chin

* Accepted to 2018 IEEE International Conference on Acoustics, Speech and Signal Processing 

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Learning a CNN-based End-to-End Controller for a Formula SAE Racecar


Jul 12, 2017
Skanda Koppula


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