Piyushi Manupriya

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it
• Computer Vision and Pattern Recognition — 13 citations into it
• Safety, Robustness & Interpretability — 12 citations into it
• Causal Inference & Discovery — 5 citations into it

Whom Piyushi Manupriya trusts overall

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

1. Judea Pearl
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Matthew D. Zeiler
5. Karen Simonyan
6. Sepp Hochreiter
7. Jan Peters
8. Yoshua Bengio
9. Patrik O. Hoyer
10. J. Urgen Schmidhuber

Who trusts Piyushi Manupriya overall

1. Dominik Janzing
2. Atticus Geiger

Papers from Piyushi Manupriya's perspective

Ordered by how strongly the researchers Piyushi Manupriya 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. Long Short-Term Memory
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Neural Network Attributions: A Causal Perspective (2019) — 168 citations