Amitojdeep Singh

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 63 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 41 citations into it
• Computer Vision and Pattern Recognition — 19 citations into it
• Safety, Robustness & Interpretability — 15 citations into it
• Biophysics — 8 citations into it
• Radiology, Nuclear Medicine and Imaging — 7 citations into it

Whom Amitojdeep Singh trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Matthew D. Zeiler
4. Ilya Sutskever
5. Christian Szegedy
6. Yoshua Bengio
7. Yann LeCun
8. L. V. D. van der Maaten
9. Rob Fergus
10. Karen Simonyan

Who trusts Amitojdeep Singh overall

1. Tharindu Fernando
2. Khansa Rasheed
3. Harshala Gammulle
4. Adnan Qayyum
5. Gesina Schwalbe

Papers from Amitojdeep Singh's perspective

Ordered by how strongly the researchers Amitojdeep Singh trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet Large Scale Visual Recognition Challenge
9. Going deeper with convolutions
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Explainable Deep Learning Models in Medical Image Analysis (2020) — 640 citations