Harvineet Singh

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 27 citations into it
• Causal Inference & Discovery — 7 citations into it

Whom Harvineet Singh trusts overall

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

1. Lotfi A. Zadeh
2. Judea Pearl
3. Steffen Bickel
4. Jan Peters
5. Masashi Sugiyama
6. Mateo Rojas-Carulla
7. Berk Ustun
8. Adarsh Subbaswamy
9. Florian Markowetz
10. Dominik Rothenhausler

Who trusts Harvineet Singh overall

1. Richard J. Chen

Papers from Harvineet Singh's perspective

Ordered by how strongly the researchers Harvineet Singh 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. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Learning Multiple Layers of Features from Tiny Images
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Fairness Violations and Mitigation under Covariate Shift (2019) — 109 citations