Sanyam Kapoor

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 42 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 56 citations into it
• Reinforcement Learning — 26 citations into it
• Computer Vision and Pattern Recognition — 22 citations into it
• Probabilistic & Bayesian Methods — 18 citations into it
• Representation & Self-Supervised Learning — 10 citations into it
• Optimization & Training — 8 citations into it
• Control and Systems Engineering — 7 citations into it

Whom Sanyam Kapoor trusts overall

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

1. Michalis K. Titsias
2. Thang D. Bui
3. Geoffrey E. Hinton
4. Michael I. Jordan
5. James Hensman
6. Lehel Csató
7. Diederik P. Kingma
8. Yoshua Bengio
9. Radford M. Neal
10. Masa-aki Sato

Who trusts Sanyam Kapoor overall

1. Jorge Armando Mendez Mendez

Papers from Sanyam Kapoor's perspective

Ordered by how strongly the researchers Sanyam Kapoor 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. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Backplay: "Man muss immer umkehren" (2018) — 52 citations
• Variational Auto-Regressive Gaussian Processes for Continual Learning (2020) — 33 citations