Uttam Chauhan

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 49 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 34 citations into it
• Information Systems — 11 citations into it
• Natural Language Processing — 9 citations into it
• General Social Sciences — 8 citations into it
• Probabilistic & Bayesian Methods — 8 citations into it
• Statistical and Nonlinear Physics — 6 citations into it

Whom Uttam Chauhan trusts overall

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

1. David M. Blei
2. Michael I. Jordan
3. Arthur U. Asuncion
4. Muthu Dayalan
5. Yee Whye Teh
6. Xuerui Wang
7. David Newman
8. Thomas Hofmann
9. Max Welling
10. Radford M. Neal

Papers from Uttam Chauhan's perspective

Ordered by how strongly the researchers Uttam Chauhan 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. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Topic Modeling Using Latent Dirichlet allocation (2021) — 310 citations