Shrey Desai
Artificial Intelligence · 2019–2020
A researcher in the Science corpus: 2 papers; trusts 128 researchers and is trusted by 18 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 55 citations into it
- Computer Vision and Pattern Recognition — 24 citations into it
- Natural Language Processing — 23 citations into it; #2,033 of 5,688 by trust here, #3,977 by citations
- Efficiency & Compression — 12 citations into it
- Evaluation & Benchmarks — 10 citations into it
- Large Language Models — 7 citations into it
- Optimization & Training — 7 citations into it
- Model Architectures — 6 citations into it
Whom Shrey Desai trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Diederik P. Kingma
- Kaiming He
- Yoshua Bengio
- Alex Krizhevsky
- Ilya Sutskever
- Yann LeCun
- Jimmy Ba
- Karen Simonyan
- Richard Socher
Who trusts Shrey Desai overall
- Ethan Perez
- Satyapriya Krishna
- Stephanie C. Lin
- Zhengbao Jiang
- Yaakov Ophir
- Roy Schwartz
- Chenglei Si
- Douwe Kiela
- Jacob Hilton
- Chirag Agarwal
Papers from Shrey Desai's perspective
Ordered by how strongly the researchers Shrey Desai trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Evaluating Lottery Tickets Under Distributional Shifts (2019) — 42 citations
- Calibration of Pre-trained Transformers (2020) — 431 citations