Susheel Suresh

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 50 citations into it
• Graph Learning — 22 citations into it
• Computer Vision and Pattern Recognition — 21 citations into it
• Representation & Self-Supervised Learning — 20 citations into it
• Statistical and Nonlinear Physics — 15 citations into it
• Molecular Biology — 9 citations into it
• Generative Models — 6 citations into it
• Computational Theory and Mathematics — 5 citations into it

Whom Susheel Suresh trusts overall

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

1. Geoffrey E. Hinton
2. William L. Hamilton
3. Yoshua Bengio
4. Diederik P. Kingma
5. Alex Krizhevsky
6. Ralph Linsker
7. Max Welling
8. Thomas Kipf
9. Kaiming He
10. Yann LeCun

Who trusts Susheel Suresh overall

1. Yaochen Xie
2. Zhao Xu

Papers from Susheel Suresh's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
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. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Adversarial Graph Augmentation to Improve Graph Contrastive Learning (2021) — 456 citations