Vineet John

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 23 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 25 citations into it
• Natural Language Processing — 22 citations into it
• Computer Vision and Pattern Recognition — 17 citations into it
• Generative Models — 10 citations into it

Whom Vineet John trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Diederik P. Kingma
2. Ilya Sutskever
3. Geoffrey E. Hinton
4. Yoon Kim
5. Yoshua Bengio
6. Yann LeCun
7. Tomas Mikolov
8. Oriol Vinyals
9. Alex Krizhevsky
10. Jimmy Ba

Who trusts Vineet John overall

1. Zhiqiang Hu
2. Akhilesh Sudhakar
3. Ning Dai
4. Mingda Chen
5. Di Jin
6. Rong Ye
7. Sergey I. Nikolenko
8. Roy Ka-Wei Lee
9. Bhargav Upadhyay
10. Jianze Liang

Papers from Vineet John's perspective

Ordered by how strongly the researchers Vineet John trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• Disentangled Representation Learning for Non-Parallel Text Style Transfer (2018) — 332 citations