Matthew Amodio

Natural Language Processing · 2017

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 12 citations into it; #4,288 of 5,688 by trust here, #4,793 by citations
• Artificial Intelligence — 11 citations into it; #26,074 of 35,345 by trust here, #26,682 by citations
• Information Systems — 9 citations into it
• Software — 8 citations into it
• Code Generation & Program Synthesis — 6 citations into it; #142 of 220 by trust here, #183 by citations

Whom Matthew Amodio trusts overall

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

1. Diederik P. Kingma
2. Veselin Raychev
3. Miltiadis Allamanis
4. Chris J. Maddison
5. Vijayaraghavan Murali
6. Jimmy Ba
7. Geoffrey E. Hinton
8. Pavol Bielik
9. Ilya Sutskever
10. Martin T. Vechev

Who trusts Matthew Amodio overall

1. Michael Pradel
2. Yi Li
3. Uri Alon
4. Koushik Sen
5. Shaohua Wang
6. Miltiadis Allamanis

Papers from Matthew Amodio's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• Neural Attribute Machines for Program Generation (2017) — 35 citations