Simon Osindero - Concepedia

Author

Simon Osindero

Google (United States)

Also Known As

Osindero, Simon, Osindero, Simon Kayode, Simon Osindero

Publications

29.5K

Citations

H-Index

104

Concepts

All Affiliations

Google (United States)University of Toronto Google DeepMind (United Kingdom)Yahoo (United Kingdom)

About

Simon Osindero is an author at Google (United States) specializing in engineering, machine learning, and computer science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	24	33	12.4K
2	Language Studies	7	7	1.4K
3	Business	1	1	252
4	Education	1	1	44
5	Management	1	1	10

Simon Osindero

Publications

29K

Citations

H-Index

Page 1

	Year	Citations
A Fast Learning Algorithm for Deep Belief Nets Geoffrey E. Hinton, Simon Osindero, Yee‐Whye Teh Neural Computation	2006	16.2K
Conditional Generative Adversarial Nets Mehdi Mirza, Simon Osindero arXiv (Cornell University) Artificial IntelligenceGenerative SystemGenerative Adversarial NetsMachine LearningData Science	2014	8.9K
Training Compute-Optimal Large Language Models Jordan Hoffmann, Sebastian Borgeaud, Arthur Mensch, arXiv (Cornell University) Natural Language ProcessingLarge Language ModelsLarge Ai ModelLlm Fine-tuningEngineering	2022	648
Recursive Recurrent Nets with Attention Modeling for OCR in the Wild Chen‐Yu Lee, Simon Osindero Natural Language ProcessingSequence ModellingMachine VisionMachine LearningAttention Modeling	2016	488
Improving language models by retrieving from trillions of tokens Sebastian Borgeaud, Arthur Mensch, Jordan Hoffmann, arXiv (Cornell University) ChunkingLlm Fine-tuningEngineeringMultilingual PretrainingLarge Language Model	2021	296
FeUdal Networks for Hierarchical Reinforcement Learning Alexander Sasha Vezhnevets, Simon Osindero, Tom Schaul, ArXiv.org Artificial IntelligenceCognitive ScienceEngineeringMachine LearningDeep Reinforcement Learning	2017	252
Population Based Training of Neural Networks Max Jaderberg, Valentin Dalibard, Simon Osindero, arXiv (Cornell University) Artificial IntelligenceStructured PredictionLlm Fine-tuningEngineeringMachine Learning	2017	247
Scaling Language Models: Methods, Analysis & Insights from Training Gopher Jack W. Rae, Sebastian Borgeaud, Trevor Cai, arXiv (Cornell University) Artificial IntelligenceLlm Fine-tuningEngineeringModel ScaleAi Safety	2021	242
Meta-Learning with Latent Embedding Optimization Andrei A. Rusu, Dushyant Rao, Jakub Sygnowski, arXiv (Cornell University) Artificial IntelligenceFew-shot LearningGradient-based Meta-learningModel OptimizationEngineering	2018	210
Unsupervised Discovery of Nonlinear Structure Using Contrastive Backpropagation Geoffrey E. Hinton, Simon Osindero, Max Welling, Cognitive Science EngineeringMachine LearningGlobal Energy ScoreRecurrent Neural NetworkSocial Sciences	2006	136

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