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Defending against Reconstruction Attacks with Rényi Differential Privacy


Feb 15, 2022
Pierre Stock, Igor Shilov, Ilya Mironov, Alexandre Sablayrolles


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An Embedding of ReLU Networks and an Analysis of their Identifiability


Jul 20, 2021
Pierre Stock, Rémi Gribonval


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LeViT: a Vision Transformer in ConvNet's Clothing for Faster Inference


Apr 02, 2021
Ben Graham, Alaaeldin El-Nouby, Hugo Touvron, Pierre Stock, Armand Joulin, Hervé Jégou, Matthijs Douze


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Low Bandwidth Video-Chat Compression using Deep Generative Models


Dec 01, 2020
Maxime Oquab, Pierre Stock, Oran Gafni, Daniel Haziza, Tao Xu, Peizhao Zhang, Onur Celebi, Yana Hasson, Patrick Labatut, Bobo Bose-Kolanu, Thibault Peyronel, Camille Couprie

* 11 pages 

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Training with Quantization Noise for Extreme Model Compression


Apr 17, 2020
Angela Fan, Pierre Stock, Benjamin Graham, Edouard Grave, Remi Gribonval, Herve Jegou, Armand Joulin


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Training with Quantization Noise for Extreme Fixed-Point Compression


Apr 15, 2020
Angela Fan, Pierre Stock, Benjamin Graham, Edouard Grave, Remi Gribonval, Herve Jegou, Armand Joulin


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And the Bit Goes Down: Revisiting the Quantization of Neural Networks


Jul 29, 2019
Pierre Stock, Armand Joulin, Rémi Gribonval, Benjamin Graham, Hervé Jégou


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Equi-normalization of Neural Networks


Feb 27, 2019
Pierre Stock, Benjamin Graham, Rémi Gribonval, Hervé Jégou

* ICLR 2019 camera-ready 

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ConvNets and ImageNet Beyond Accuracy: Understanding Mistakes and Uncovering Biases


Jul 20, 2018
Pierre Stock, Moustapha Cisse

* ECCV 2018 camera-ready 

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