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Pierre Stock

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

10

Venues

6

Active years

2018–2024

Best venue rank

A*

Where they publish

Papers

10 indexed papers, newest first.

YearVenueTitleAuthors
2024ACLLLM-QAT: Data-Free Quantization Aware Training for Large Language Models.Zechun Liu, Barlas Oguz, Changsheng Zhao, Ernie Chang, Pierre Stock, Yashar Mehdad, Yangyang Shi, Raghuraman Krishnamoorthi, Vikas Chandra
2023ICLRCANIFE: Crafting Canaries for Empirical Privacy Measurement in Federated Learning.Samuel Maddock, Alexandre Sablayrolles, Pierre Stock
2023ICMLPrivacy-Aware Compression for Federated Learning Through Numerical Mechanism Design.Chuan Guo, Kamalika Chaudhuri, Pierre Stock, Michael G. Rabbat
2023ICMLTAN Without a Burn: Scaling Laws of DP-SGD.Tom Sander, Pierre Stock, Alexandre Sablayrolles
2021CVPRLow Bandwidth Video-Chat Compression Using Deep Generative Models.Maxime Oquab, Pierre Stock, Daniel Haziza, Tao Xu, Peizhao Zhang, Onur Celebi, Yana Hasson, Patrick Labatut, Bobo Bose-Kolanu, Thibault Peyronel, Camille Couprie
2021ICCVLeViT: a Vision Transformer in ConvNet's Clothing for Faster Inference.Benjamin Graham, Alaaeldin El-Nouby, Hugo Touvron, Pierre Stock, Armand Joulin, Herv Jgou, Matthijs Douze
2021ICLRTraining with Quantization Noise for Extreme Model Compression.Pierre Stock, Angela Fan, Benjamin Graham, Edouard Grave, Rmi Gribonval, Herv Jgou, Armand Joulin
2020ICLRAnd the Bit Goes Down: Revisiting the Quantization of Neural Networks.Pierre Stock, Armand Joulin, Rmi Gribonval, Benjamin Graham, Herv Jgou
2019ICLREqui-normalization of Neural Networks.Pierre Stock, Benjamin Graham, Rmi Gribonval, Herv Jgou
2018ECCVConvNets and ImageNet Beyond Accuracy: Understanding Mistakes and Uncovering Biases.Pierre Stock, Moustapha Ciss