Mark Sandler

Mark Sandler

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Continual HyperTransformer: A Meta-Learner for Continual Few-Shot Learning
Max Vladymyrov
Andrey Zhmoginov
Mark Sandler
(2024)
Fine-Tuning Image Transformers Using Learnable Memory
Andrew Jackson
Andrey Zhmoginov
Mark Sandler
Max Vladymyrov
CVPR 2022
HyperTransformer: Model Generation for Supervised and Semi-Supervised Few-Shot Learning
Andrey Zhmoginov
Mark Sandler
Max Vladymyrov
ICML (2022)
Compositional Models: Multi-Task Learning and Knowledge Transfer with Modular Networks
Andrey Zhmoginov
Dina Bashkirova
Mark Sandler
arXiv (2021)
Meta-Learning Bidirectional Update Rules
Mark Sandler
Max Vladymyrov
Andrey Zhmoginov
Nolan Andrew Miller
Andrew Jackson
Tom Madams
Blaise Hilary Aguera-Arcas
ICML 2021
SpotPatch: Parameter-Efficient Transfer Learning for Mobile Object Detection
Keren Ye
Adriana Kovashka
Mark Sandler
Menglong Zhu
Andrew Howard
Marco Fornoni
Proceedings of the Asian Conference on Computer Vision (ACCV), Springer (2020)
Estimating the Changing Infection Rate of COVID-19 Using Bayesian Models of Mobility
Luyang Liu
Sharad Vikram
Junpeng Lao
Xue Ben
Alexander Nicholas D'Amour
Shawn O'Banion
Mark Sandler
Rif A. Saurous
Matthew D. Hoffman
medRxiv, https://www.medrxiv.org/content/10.1101/2020.08.06.20169664v1.full (2020)
Structured Multi-Hashing for Model Compression
Elad Eban
Yair Movshovitz-Attias
Hao Wu
Mark Sandler
Andrew Poon
Yerlan Idelbayev
Miguel A. Carreira-Perpinan
(2019)
K for the price of 1. Parameter efficient multi-task and transfer learning
Pramod Kaushik Mudrakarta
Mark Sandler
Andrey Zhmoginov
Andrew Howard
International Conference on Learning Representations (2019)
MnasNet: Platform-Aware Neural Architecture Search for Mobile
Mingxing Tan
Bo Chen
Ruoming Pang
Vijay Vasudevan
Mark Sandler
Andrew Howard
Quoc V. Le
CVPR (2019)
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