J. Christopher Beck

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 145 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 23 citations into it
• Natural Language Processing — 20 citations into it; #3,944 of 5,688 by trust here, #5,296 by citations
• Computer Vision and Pattern Recognition — 17 citations into it
• Evaluation & Benchmarks — 8 citations into it
• Model Architectures — 5 citations into it

Whom J. Christopher Beck trusts overall

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

1. Oriol Vinyals
2. Ilya Sutskever
3. Yoshua Bengio
4. Geoffrey E. Hinton
5. Dzmitry Bahdanau
6. Philipp Koehn
7. Diederik P. Kingma
8. Alex Krizhevsky
9. Sumit Chopra
10. Rico Sennrich

Who trusts J. Christopher Beck overall

1. Clara Meister
2. Ryan Cotterell

Papers from J. Christopher Beck's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
7. Gradient-based learning applied to document recognition
8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
9. ImageNet: A large-scale hierarchical image database
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Empirical Analysis of Beam Search Performance Degradation in Neural Sequence Models (2019) — 77 citations