Ayushman Dash

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 30 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 23 citations into it
• Artificial Intelligence — 7 citations into it

Whom Ayushman Dash trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Jimmy Ba
4. Scott E. Reed
5. Alec Radford
6. Alex Krizhevsky
7. Yoshua Bengio
8. Andrew Zisserman
9. Alex Graves
10. Yann LeCun

Who trusts Ayushman Dash overall

1. Miriam Cha
2. Zizhao Zhang
3. He Huang
4. Yongjun Hong
5. Chao Zhang
6. Stanislav Frolov
7. Md. Zahangir Alom
8. Octavio Loyola-González
9. Yuanpu Xie
10. Youngjune Gwon

Papers from Ayushman Dash's perspective

Ordered by how strongly the researchers Ayushman Dash 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. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. GENERATIVE ADVERSARIAL NETS
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• TAC-GAN - Text Conditioned Auxiliary Classifier Generative Adversarial Network (2017) — 156 citations