Yatin Chaudhary

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 16 citations into it
• Natural Language Processing — 9 citations into it
• Representation & Self-Supervised Learning — 7 citations into it
• Meta & Continual Learning — 5 citations into it

Whom Yatin Chaudhary trusts overall

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

1. Geoffrey E. Hinton
2. Ruslan Salakhutdinov
3. Hugo Larochelle
4. Zhiyuan Chen
5. Ronan Collobert
6. Sebastian Ruder
7. Yoshua Bengio
8. Anthony V. Robins
9. Diederik P. Kingma
10. David M. Blei

Who trusts Yatin Chaudhary overall

1. Jorge Armando Mendez Mendez
2. Zixuan Ke

Papers from Yatin Chaudhary's perspective

Ordered by how strongly the researchers Yatin Chaudhary 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. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Neural Topic Modeling with Continual Lifelong Learning (2020) — 56 citations