Shivani Agrawal

Artificial Intelligence · 2021–2022

A researcher in the Science corpus: 3 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 166 citations into it
• Computer Vision and Pattern Recognition — 77 citations into it
• Model Architectures — 30 citations into it
• Optimization & Training — 12 citations into it

Whom Shivani Agrawal trusts overall

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

1. Kaiming He
2. Quoc V. Le
3. Alex Krizhevsky
4. Christian Szegedy
5. Barret Zoph
6. Geoffrey E. Hinton

Papers from Shivani Agrawal's perspective

Ordered by how strongly the researchers Shivani Agrawal 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Attention is All you Need (Neural Information Processing Systems)
4. ImageNet Large Scale Visual Recognition Challenge
5. ImageNet classification with deep convolutional neural networks
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. Long Short-Term Memory
9. Gradient-based learning applied to document recognition
10. Going deeper with convolutions

Their papers

• PaLM: Scaling Language Modeling with Pathways (2022) — 8,214 citations
• Efficiently Scaling Transformer Inference (2022) — 688 citations
• Pareto-Optimal Quantized ResNet Is Mostly 4-bit (2021) — 47 citations