Anirudh Jain

Artificial Intelligence · 2019

A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 41 citations into it; #18,721 of 35,345 by trust here, #18,586 by citations
• Probabilistic & Bayesian Methods — 19 citations into it
• Computer Vision and Pattern Recognition — 17 citations into it; #11,825 of 21,575 by trust here, #12,419 by citations
• Natural Language Processing — 13 citations into it
• Representation & Self-Supervised Learning — 7 citations into it

Whom Anirudh Jain trusts overall

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

1. Geoffrey E. Hinton
2. Radford M. Neal
3. Alex Krizhevsky
4. Alex Graves
5. Diederik P. Kingma
6. Yoshua Bengio
7. Ilya Sutskever
8. Yann LeCun
9. Kaiming He
10. L. Eon Bottou

Who trusts Anirudh Jain overall

1. Changhan Wang
2. Anne Wu
3. Juan Pino

Papers from Anirudh Jain's perspective

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

Their papers

• Practical Deep Learning with Bayesian Principles (2019) — 280 citations
• VizSeq: a visual analysis toolkit for text generation tasks (2019) — 30 citations