Shrikanth S. Narayanan

Artificial Intelligence · with Chochlakis · 2022

A researcher in the Science corpus: 1 paper; trusts 67 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it
• Computer Vision and Pattern Recognition — 21 citations into it
• Multimodal Learning — 17 citations into it
• Natural Language Processing — 11 citations into it

Whom Shrikanth S. Narayanan trusts overall

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

1. Kaiming He
2. Shaoqing Ren
3. Geoffrey E. Hinton
4. Ross B. Girshick
5. Alex Krizhevsky
6. Ron Zhu
7. Yoshua Bengio
8. Diederik P. Kingma
9. Ilya Loshchilov

Papers from Shrikanth S. Narayanan's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Attention is All you Need (Neural Information Processing Systems)
3. ImageNet classification with deep convolutional neural networks
4. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Microsoft COCO: Common Objects in Context
8. ImageNet: A large-scale hierarchical image database
9. Gradient-based learning applied to document recognition
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• VAuLT: Augmenting the Vision-and-Language Transformer with the Propagation of Deep Language Representations (2022) — 12 citations