Saketh Rama
Artificial Intelligence · 2016–2017
A researcher in the Science corpus: 3 papers; trusts 21 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 31 citations into it
- Computer Vision and Pattern Recognition — 31 citations into it; #21,388 of 21,575 by trust here, #7,340 by citations
- Model Architectures — 13 citations into it
- Natural Language Processing — 13 citations into it
Whom Saketh Rama trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Kaiming He
- Karen Simonyan
- Yann LeCun
- Alex Krizhevsky
- Yoshua Bengio
- Ilya Sutskever
- Jason Aaron Edward Weston
- Ronan Collobert
- Diederik P. Kingma
Who trusts Saketh Rama overall
Papers from Saketh Rama's perspective
Ordered by how strongly the researchers Saketh Rama trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Going deeper with convolutions
Their papers
- Minerva: Enabling Low-Power, Highly-Accurate Deep Neural Network Accelerators (2016) — 613 citations
- Fathom: reference workloads for modern deep learning methods (2016) — 189 citations
- Cognitive Computing Safety: The New Horizon for Reliability / The Design and Evolution of Deep Learning Workloads (2017) — 10 citations