Jeremy Appleyard

Artificial Intelligence · 2015–2016

A researcher in the Science corpus: 2 papers; trusts 48 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 32 citations into it; #19,707 of 35,345 by trust here, #28,481 by citations
• Computer Vision and Pattern Recognition — 27 citations into it; #7,786 of 21,575 by trust here, #11,083 by citations
• Model Architectures — 16 citations into it
• Efficiency & Compression — 14 citations into it; #440 of 1,264 by trust here, #852 by citations
• Natural Language Processing — 14 citations into it

Whom Jeremy Appleyard trusts overall

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

1. Alex Graves
2. Yoshua Bengio
3. Oriol Vinyals
4. Geoffrey E. Hinton
5. Ilya Sutskever
6. Kyunghyun Cho
7. Dzmitry Bahdanau
8. Sepp Hochreiter
9. Alex Krizhevsky
10. Diederik P. Kingma

Who trusts Jeremy Appleyard overall

1. Tao Lei
2. Tal Ben-Nun
3. Yu Zhang
4. Fabian Schuiki
5. Zhuohan Li
6. Torsten Hoefler
7. Lasse Espeholt
8. Yu Cheng
9. Yoav Artzi
10. Michael Schaffner

Papers from Jeremy Appleyard's perspective

Ordered by how strongly the researchers Jeremy Appleyard 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. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Optimizing Performance of Recurrent Neural Networks on GPUs (2016) — 95 citations
• ACDC: A Structured Efficient Linear Layer (2015) — 107 citations