Hybrid computing using a neural network with dynamic external memory
Alex Graves, Greg Wayne low, Malcolm Reynolds low, Tim Harley, Ivo Danihelka, Agnieszka Grabska‐Barwińska, Sergio Gómez Colmenarejo low, Edward Grefenstette, Tiago Ramalho, John Agapiou, Adrià Puigdomènech Badia, Karl Moritz Hermann, Yori Zwólš low, Georg Ostrovski, Adam Cain low, Helen King low, Christopher Summerfield, Phil Blunsom low, Koray Kavukcuoglu, Demis Hassabis
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- A Review of Recurrent Neural Networks: LSTM Cells and Network Architectures→Hybrid computing using a neural network with dynamic external memoryLegacy edge — source detail unavailable
- Deep learning with coherent nanophotonic circuits→Hybrid computing using a neural network with dynamic external memoryLegacy edge — source detail unavailable
- Continual lifelong learning with neural networks: A review→Hybrid computing using a neural network with dynamic external memoryLegacy edge — source detail unavailable
- Relational inductive biases, deep learning, and graph networks→Hybrid computing using a neural network with dynamic external memoryLegacy edge — source detail unavailable
- On the Opportunities and Risks of Foundation Models→Hybrid computing using a neural network with dynamic external memoryLegacy edge — source detail unavailable
- 11 TOPS photonic convolutional accelerator for optical neural networks→Hybrid computing using a neural network with dynamic external memoryLegacy edge — source detail unavailable
- Hybrid computing using a neural network with dynamic external memory→Long Short-Term MemoryLegacy edge — source detail unavailable
- Hybrid computing using a neural network with dynamic external memory→Advances in Neural Information Processing Systems 28Legacy edge — source detail unavailable
- Hybrid computing using a neural network with dynamic external memory→Sequence to Sequence Learning with Neural NetworksLegacy edge — source detail unavailable
- Hybrid computing using a neural network with dynamic external memory→Speech recognition with deep recurrent neural networksLegacy edge — source detail unavailable
- Hybrid computing using a neural network with dynamic external memory→Simple statistical gradient-following algorithms for connectionist reinforcement learningLegacy edge — source detail unavailable
- Hybrid computing using a neural network with dynamic external memory→Curriculum learningLegacy edge — source detail unavailable
- Hybrid computing using a neural network with dynamic external memory→Backpropagation through time: what it does and how to do itLegacy edge — source detail unavailable
- Hybrid computing using a neural network with dynamic external memory→Policy Gradient Methods for Reinforcement Learning with Function ApproximationLegacy edge — source detail unavailable
- Hybrid computing using a neural network with dynamic external memory→Advances in neural information processing systems 11Legacy edge — source detail unavailable
- Hybrid computing using a neural network with dynamic external memory→Human-level concept learning through probabilistic program inductionLegacy edge — source detail unavailable
- Hybrid computing using a neural network with dynamic external memory→Teaching Machines to Read and ComprehendLegacy edge — source detail unavailable
- Teaching Machines to Read and Comprehend→Long Short-Term MemoryLegacy edge — source detail unavailable
- Sequence to Sequence Learning with Neural Networks→Long Short-Term MemoryLegacy edge — source detail unavailable
- Sequence to Sequence Learning with Neural Networks→Backpropagation through time: what it does and how to do itLegacy edge — source detail unavailable
- Speech recognition with deep recurrent neural networks→Long Short-Term MemoryLegacy edge — source detail unavailable
- Policy Gradient Methods for Reinforcement Learning with Function Approximation→Simple statistical gradient-following algorithms for connectionist reinforcement learningLegacy edge — source detail unavailable
- Continual lifelong learning with neural networks: A review→Curriculum learningLegacy edge — source detail unavailable
- Relational inductive biases, deep learning, and graph networks→Human-level concept learning through probabilistic program inductionLegacy edge — source detail unavailable
- A Review of Recurrent Neural Networks: LSTM Cells and Network Architectures→Long Short-Term MemoryLegacy edge — source detail unavailable
- A Review of Recurrent Neural Networks: LSTM Cells and Network Architectures→Advances in Neural Information Processing Systems 28Legacy edge — source detail unavailable
- 11 TOPS photonic convolutional accelerator for optical neural networks→Deep learning with coherent nanophotonic circuitsLegacy edge — source detail unavailable
- On the Opportunities and Risks of Foundation Models→Long Short-Term MemoryLegacy edge — source detail unavailable
- On the Opportunities and Risks of Foundation Models→Human-level concept learning through probabilistic program inductionLegacy edge — source detail unavailable
- On the Opportunities and Risks of Foundation Models→Continual lifelong learning with neural networks: A reviewLegacy edge — source detail unavailable
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| Neural Networks and Applications | Computer Science |
| Domain Adaptation and Few-Shot Learning | Computer Science |
| Advanced Memory and Neural Computing | Engineering |
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