A. Sherstinsky
Model Architectures · 2018
A researcher in the Science corpus: 1 paper; trusts 42 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Model Architectures — 22 citations into it
- Artificial Intelligence — 21 citations into it; #19,184 of 35,345 by trust here, #28,481 by citations
- Computer Vision and Pattern Recognition — 10 citations into it
- Natural Language Processing — 10 citations into it
- Statistical and Nonlinear Physics — 9 citations into it; #4,886 of 10,127 by trust here, #7,402 by citations
- Signal Processing — 7 citations into it; #3,942 of 7,572 by trust here, #5,829 by citations
Whom A. Sherstinsky trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Graves
- Fernando J. Pineda
- Geoffrey E. Hinton
- Sepp Hochreiter
- Paul J. Werbos
- Ronald J. Williams
- Michael I. Jordan
- Barak A. Pearlmutter
- Ilya Sutskever
- Jeffrey L. Elman
Who trusts A. Sherstinsky overall
Papers from A. Sherstinsky's perspective
Ordered by how strongly the researchers A. Sherstinsky 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)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) Network (2018) — 5,102 citations