Follow
Pierre Stock
Pierre Stock
Meta AI
Verified email at fb.com - Homepage
Title
Cited by
Cited by
Year
LeViT: a Vision Transformer in ConvNet's Clothing for Faster Inference
B Graham, A El-Nouby, H Touvron, P Stock, A Joulin, H Jégou, M Douze
International Conference on Computer Vision (ICCV 2021), 2021
312*2021
Convnets and ImageNet Beyond Accuracy: Explanations, Bias Detection, Adversarial Examples and Model Criticism
P Stock, M Cisse
European Conference on Computer Vision (ECCV 2018), 2018
197*2018
Training with Quantization Noise for Extreme Model Compression
P Stock*, A Fan*, B Graham, E Grave, R Gribonval, H Jegou, A Joulin
International Conference on Learning Representations (ICLR 2021), 2020
142*2020
And the Bit Goes Down: Revisiting the Quantization of Neural Networks
P Stock, A Joulin, R Gribonval, B Graham, H Jégou
International Conference on Learning Representations (ICLR 2020), 2019
1222019
Low Bandwidth Video-Chat Compression using Deep Generative Models
M Oquab*, P Stock*, O Gafni, D Haziza, T Xu, P Zhang, O Celebi, ...
Mobile AI Workshop (MAI CVPR 2021), 2020
212020
Defending against Reconstruction Attacks with Rényi Differential Privacy
P Stock, I Shilov, I Mironov, A Sablayrolles
arXiv preprint arXiv:2202.07623, 2022
92022
Efficiency and Redundancy in Deep Learning Models: Theoretical Considerations and Practical Applications
P Stock
École Normale Supérieure de Lyon (2021), 2021
52021
An Embedding of ReLU Networks and an Analysis of their Identifiability
P Stock, R Gribonval
Constructive Approximation, 2021
42021
Reconciling Security and Communication Efficiency in Federated Learning
K Prasad, S Ghosh, G Cormode, I Mironov, A Yousefpour, P Stock
Workshop on Federated Learning (FL-NeurIPS 2022), 2022
32022
TAN without a burn: Scaling Laws of DP-SGD
T Sander, P Stock, A Sablayrolles
arXiv preprint arXiv:2210.03403, 2022
12022
CANIFE: Crafting Canaries for Empirical Privacy Measurement in Federated Learning
S Maddock, A Sablayrolles, P Stock
International Conference on Learning Representations (ICLR 2023), 2022
12022
The Interpolated MVU Mechanism For Communication-efficient Private Federated Learning
C Guo, K Chaudhuri, P Stock, M Rabbat
Workshop on Federated Learning (FL-NeurIPS 2022), 2022
12022
Systems and Methods for Low Bandwidth Video-Chat Compression
MM Oquab, P Stock, O Gafni, DRD Haziza, T Xu, P Zhang, O Çelebi, ...
US Patent App. 17/224,103, 2022
2022
Equi-normalization of Neural Networks
P Stock, B Graham, R Gribonval, H Jégou
International Conference on Learning Representations (ICLR 2019), 2019
2019
The system can't perform the operation now. Try again later.
Articles 1–14