R. Krishnan

Artificial Intelligence · with Dziedzic · 2020

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 42 citations into it
• Natural Language Processing — 28 citations into it
• Computer Vision and Pattern Recognition — 18 citations into it
• Safety, Robustness & Interpretability — 13 citations into it

Whom R. Krishnan trusts overall

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

1. Dan Hendrycks
2. Geoffrey E. Hinton
3. Diederik P. Kingma
4. Yoshua Bengio
5. Ilya Sutskever
6. Alex Krizhevsky
7. Richard Socher
8. Tomas Mikolov
9. Kaiming He
10. Yann LeCun

Papers from R. Krishnan's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
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. Gradient-based learning applied to document recognition
8. ImageNet: A large-scale hierarchical image database
9. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Pretrained Transformers Improve Out-of-Distribution Robustness (2020) — 492 citations