Sahana Udupa

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 48 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 39 citations into it; #11,939 of 35,345 by trust here, #10,430 by citations
• Natural Language Processing — 26 citations into it; #2,353 of 5,688 by trust here, #2,292 by citations
• Safety, Robustness & Interpretability — 16 citations into it; #853 of 2,251 by trust here, #915 by citations
• Large Language Models — 14 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it
• Prompting & Reasoning — 6 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Sahana Udupa trusts overall

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

1. Timo Schick
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Diederik P. Kingma
5. Ilya Sutskever
6. Alec Radford
7. Jacob Devlin
8. Hinrich Schütze
9. Tomas Mikolov
10. Alex Krizhevsky

Who trusts Sahana Udupa overall

1. Timo Schick
2. Nicholas Meade
3. Hinrich Schütze
4. Alexandra Sasha Luccioni
5. Deng Jiawen
6. Jingyan Zhou
7. Myra Cheng
8. Mengyao Cao
9. Rohit Gandikota
10. Melanie Sclar

Papers from Sahana Udupa's perspective

Ordered by how strongly the researchers Sahana Udupa 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. ImageNet: A large-scale hierarchical image database
8. Gradient-based learning applied to document recognition
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP (2021) — 496 citations