Calvin Seward
Artificial Intelligence · 2021
A researcher in the Science corpus: 1 paper; trusts 55 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 24 citations into it
- Computer Vision and Pattern Recognition — 20 citations into it
- Generative Models — 17 citations into it
- Signal Processing — 13 citations into it
- Probabilistic & Bayesian Methods — 12 citations into it
- Management Science and Operations Research — 9 citations into it
- Time-Series & Forecasting — 8 citations into it
- Statistical and Nonlinear Physics — 7 citations into it
Whom Calvin Seward trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Alex Graves
- Geoffrey E. Hinton
- Yoshua Bengio
- Ilya Sutskever
- Pascal Vincent
- Aäron van den Oord
- Yann LeCun
- Aapo Hyvärinen
- Yang Song
Who trusts Calvin Seward overall
Papers from Calvin Seward's perspective
Ordered by how strongly the researchers Calvin Seward trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)