Dinesh Singh

Artificial Intelligence · with Chang · 2020

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

Subfields

• Artificial Intelligence — 25 citations into it

Whom Dinesh Singh trusts

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

1. Jure Leskovec (in Artificial Intelligence)

Papers from Dinesh Singh's perspective

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

1. Visualizing and Understanding Convolutional Networks
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. The Graph Neural Network Model
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Visualizing Higher-Layer Features of a Deep Network
8. Graph Attention Networks (International Conference on Learning Representations)
9. Axiomatic Attribution for Deep Networks
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks (2020) — 484 citations