Preetam Amancharla

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it; #16,862 of 35,345 by trust here, #10,667 by citations
• Natural Language Processing — 19 citations into it; #2,983 of 5,688 by trust here, #2,333 by citations

Whom Preetam Amancharla trusts overall

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

1. Kevin Clark
2. Christopher D. Manning

Who trusts Preetam Amancharla overall

1. Emily Sheng
2. Jesse Vig

Papers from Preetam Amancharla's perspective

Ordered by how strongly the researchers Preetam Amancharla trusts endorse each paper. Same corpus, a different order for every researcher.

1. Efficient Estimation of Word Representations in Vector Space
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. Recurrent Neural Network Regularization
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Gender Bias in Neural Natural Language Processing (2018) — 408 citations