Trisha Singh

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 31 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it; #33,344 of 35,345 by trust here, #28,481 by citations
• Natural Language Processing — 14 citations into it
• Representation & Self-Supervised Learning — 9 citations into it; #2,959 of 3,145 by trust here, #2,863 by citations
• Computer Vision and Pattern Recognition — 7 citations into it

Whom Trisha Singh trusts overall

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

1. Diederik P. Kingma
2. Yoshua Bengio
3. Kaiming He
4. Geoffrey E. Hinton
5. Jimmy Ba
6. Alex Krizhevsky
7. Richard Socher
8. Ilya Sutskever
9. Maithra Raghu
10. Yann LeCun

Who trusts Trisha Singh overall

1. Yonatan Belinkov

Papers from Trisha Singh's perspective

Ordered by how strongly the researchers Trisha Singh 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. ImageNet classification with deep convolutional neural networks
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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Investigating Transferability in Pretrained Language Models (2020) — 49 citations