K. Annervaz

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 25 citations into it
• Natural Language Processing — 23 citations into it
• Computer Vision and Pattern Recognition — 11 citations into it
• Model Architectures — 8 citations into it
• Representation & Self-Supervised Learning — 6 citations into it

Whom K. Annervaz trusts overall

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

1. Yoshua Bengio
2. Tomas Mikolov
3. Diederik P. Kingma
4. Geoffrey E. Hinton
5. Sepp Hochreiter
6. Richard Socher
7. J. Urgen Schmidhuber
8. Christopher D. Manning
9. Sergey Ioffe
10. Ilya Sutskever

Papers from K. Annervaz's perspective

Ordered by how strongly the researchers K. Annervaz 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. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• A Neural Architecture Mimicking Humans End-to-End for Natural Language Inference (2016) — 13 citations