T. Chari

Molecular Biology · 2021

A researcher in the Science corpus: 1 paper; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 26 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it
• Representation & Self-Supervised Learning — 8 citations into it
• Artificial Intelligence — 6 citations into it

Whom T. Chari trusts overall

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

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. L. V. D. van der Maaten
4. Charu C. Aggarwal
5. Jimmy Ba
6. Etsuji Tomita
7. Jacob Goldberger
8. Aric A. Hagberg
9. Svitlana Tyekucheva
10. Alex Krizhevsky

Who trusts T. Chari overall

1. Lukas Heumos
2. Anna C. Schaar

Papers from T. Chari's perspective

Ordered by how strongly the researchers T. Chari 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• The specious art of single-cell genomics (2021) — 339 citations