Mayank Kumar Singh

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 185 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 51 citations into it
• Artificial Intelligence — 46 citations into it
• Representation & Self-Supervised Learning — 35 citations into it
• Model Architectures — 7 citations into it

Whom Mayank Kumar Singh trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Geoffrey E. Hinton
4. Diederik P. Kingma
5. Ross B. Girshick
6. Yoshua Bengio
7. Ilya Sutskever
8. Yann LeCun
9. Christian Szegedy
10. Sergey Ioffe

Who trusts Mayank Kumar Singh overall

1. Shuo Yang
2. Yuqing Hu

Papers from Mayank Kumar Singh's perspective

Ordered by how strongly the researchers Mayank Kumar 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. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet Large Scale Visual Recognition Challenge
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Charting the Right Manifold: Manifold Mixup for Few-shot Learning (2019) — 386 citations