Ranjith Parakkal
Computer Vision and Pattern Recognition · 2018
A researcher in the Science corpus: 1 paper; trusts 213 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 38 citations into it; #17,753 of 21,575 by trust here, #15,955 by citations
- Artificial Intelligence — 33 citations into it; #28,698 of 35,345 by trust here, #24,417 by citations
- Representation & Self-Supervised Learning — 9 citations into it
- Generative Models — 8 citations into it
- Biomedical Engineering — 5 citations into it
- Computer Networks and Communications — 5 citations into it; #7,823 of 9,886 by trust here, #5,961 by citations
- Signal Processing — 5 citations into it
Whom Ranjith Parakkal trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Diederik P. Kingma
- Yoshua Bengio
- Alex Krizhevsky
- Nitish Srivastava
- Sergey Ioffe
- Yann LeCun
- Ilya Sutskever
- Ruslan Salakhutdinov
- Kaiming He
Who trusts Ranjith Parakkal overall
Papers from Ranjith Parakkal's perspective
Ordered by how strongly the researchers Ranjith Parakkal 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
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- GENERATIVE ADVERSARIAL NETS
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)