Shashank Shekhar
Artificial Intelligence · EClinicalMedicine · 2022–2023
A researcher in the Science corpus: 3 papers; trusts 133 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 174 citations into it; #32,579 of 35,345 by trust here, #23,731 by citations
- Computer Vision and Pattern Recognition — 167 citations into it; #20,014 of 21,575 by trust here, #16,367 by citations
- Cognitive Neuroscience — 7 citations into it
Whom Shashank Shekhar trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Geoffrey E. Hinton
- Yoshua Bengio
- Alex Krizhevsky
- Diederik P. Kingma
- Yann LeCun
- Ross B. Girshick
- Ilya Sutskever
- Karen Simonyan
- Jia Deng
Who trusts Shashank Shekhar overall
Papers from Shashank Shekhar's perspective
Ordered by how strongly the researchers Shashank Shekhar 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
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Beyond neural scaling laws: beating power law scaling via data pruning (2022) — 656 citations
- A Cookbook of Self-Supervised Learning (2023) — 398 citations
- Global burden of chronic respiratory diseases and risk factors, 1990–2019: an update from the Global Burden of Disease Study 2019 (2023) — 678 citations