Shruti Patil

Artificial Intelligence · 2024

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 26 citations into it
• Graph Learning — 12 citations into it

Whom Shruti Patil trusts overall

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

1. Thomas Kipf
2. Max Welling
3. Damien Teney
4. Geoffrey E. Hinton
5. Zhiyong Cui
6. Diederik P. Kingma
7. Jianwei Yang
8. Yoshua Bengio

Papers from Shruti Patil's perspective

Ordered by how strongly the researchers Shruti Patil 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. Going deeper with convolutions
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• A review of graph neural networks: concepts, architectures, techniques, challenges, datasets, applications, and future directions (2024) — 513 citations