Shivam Garg

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 43 citations into it
• Large Language Models — 12 citations into it
• Optimization & Training — 6 citations into it

Whom Shivam Garg trusts overall

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

1. Diederik P. Kingma
2. Alec Radford
3. Yoshua Bengio
4. Robert Tibshirani
5. Jeffrey L. Elman
6. Geoffrey E. Hinton
7. Terence D. Sanger
8. Jimmy Ba
9. Alex Krizhevsky
10. Ilya Sutskever

Who trusts Shivam Garg overall

1. Kwangjun Ahn
2. Ekin Akyürek
3. Angeliki Giannou
4. David Vilar
5. Johannes von Oswald
6. Michael R Douglas
7. Xiang Cheng
8. Dale Schuurmans

Papers from Shivam Garg's perspective

Ordered by how strongly the researchers Shivam Garg 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. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• What Can Transformers Learn In-Context? A Case Study of Simple Function Classes (2022) — 825 citations