Andrew Trask
Google (United States)(US)Open Society Foundations(US)DeepMind (United Kingdom)(GB)
Publications by Year
Research Areas
Privacy-Preserving Technologies in Data, Stochastic Gradient Optimization Techniques, Cryptography and Data Security, Ethics and Social Impacts of AI, Conflict Management and Negotiation
Most-Cited Works
- → End-to-end privacy preserving deep learning on multi-institutional medical imaging(2021)443 cited
- → A generic framework for privacy preserving deep learning(2018)341 cited
- → Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims(2020)212 cited
- → PySyft: A Library for Easy Federated Learning(2021)197 cited
- → sense2vec - A Fast and Accurate Method for Word Sense Disambiguation In Neural Word Embeddings(2015)137 cited
- → Neural Arithmetic Logic Units(2018)80 cited
- → Sample Efficient Adaptive Text-to-Speech(2018)75 cited