Ekagra Ranjan

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 60 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 27 citations into it
• Graph Learning — 25 citations into it
• Computer Vision and Pattern Recognition — 16 citations into it
• Model Architectures — 9 citations into it
• Statistical and Nonlinear Physics — 8 citations into it
• Molecular Biology — 5 citations into it
• Natural Language Processing — 5 citations into it

Whom Ekagra Ranjan trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Kaiming He
4. Yoshua Bengio
5. Yann LeCun
6. Ilya Sutskever
7. Diederik P. Kingma
8. Thomas Kipf
9. Charu C. Aggarwal
10. Yoon Kim

Who trusts Ekagra Ranjan overall

1. Lan Wei
2. Yingmin Wu
3. Jianxin Chang
4. Huan Zhao
5. Xiang Wang

Papers from Ekagra Ranjan's perspective

Ordered by how strongly the researchers Ekagra Ranjan 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. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Learning Multiple Layers of Features from Tiny Images
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations (2019) — 414 citations