Scott Gray

4 papers · 2016–2021 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (11) 🐣 Hot Topic Early Bird 👥 Mega-Team · Squad

Venues

NeurIPS (2) CVPR (1) ICML (1)

Top co-authors

Alec Radford (2) Ilya Sutskever (2) Aditya Ramesh (2) Mark Chen (2) Christopher Berner (1) Jeffrey Wu (1) Tristan Webb (1) Dario Amodei (1) Arvind Neelakantan (1) Urs Koster (1)

Research topics

Artificial Intelligence (2) Deep Learning (2) Machine Learning (2) Application Areas (2) Core AI (2) Learning Paradigms (2) Optimization & Theory · Deep Learning (2) Architectures (1) Optimization & Theory · Machine Learning (1) Techniques (1)

Keywords

autoregressive model (2) zero-shot learning (1) few-shot learning (1) multimodal learning (1) text-to-image generation (1) computational efficiency (1) algorithm optimization (1) gpu computing (1) convolutional neural network (1) deep neural network (1) language model (1) foundation model (1) low-precision training (1) fixed-point arithmetic (1) gpu optimization (1) mixed precision training (1) adaptive precision (1) floating point (1) deep neural network training (1) winograd filtering (1)

Papers

Zero-Shot Text-to-Image Generation ICML 2021 Language Models are Few-Shot Learners NeurIPS 2020 Flexpoint: An Adaptive Numerical Format for Efficient Training of Deep Neural Networks NeurIPS 2017 Fast Algorithms for Convolutional Neural Networks CVPR 2016