Vishwajith Ramesh
Artificial Intelligence · 2017
A researcher in the Science corpus: 1 paper; trusts 60 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 35 citations into it
- Computer Vision and Pattern Recognition — 31 citations into it
- Optimization & Training — 18 citations into it; #1,764 of 2,601 by trust here, #2,112 by citations
- Model Architectures — 16 citations into it
- Electrical and Electronic Engineering — 12 citations into it; #7,237 of 16,539 by trust here, #12,348 by citations
- Representation & Self-Supervised Learning — 7 citations into it
- Cognitive Neuroscience — 6 citations into it
- Computational Mechanics — 6 citations into it
Whom Vishwajith Ramesh trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Alex Krizhevsky
- Diederik P. Kingma
- Yann LeCun
- Ilya Sutskever
- Christian Szegedy
- Hugo Larochelle
- Jimmy Ba
- Sergey Ioffe
Who trusts Vishwajith Ramesh overall
Papers from Vishwajith Ramesh's perspective
Ordered by how strongly the researchers Vishwajith Ramesh 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Going deeper with convolutions
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Deep Supervised Learning Using Local Errors (2017) — 129 citations