Leena Shekhar

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it; #26,430 of 35,345 by trust here, #29,412 by citations
• Natural Language Processing — 11 citations into it; #4,343 of 5,688 by trust here, #5,092 by citations
• Model Architectures — 7 citations into it

Whom Leena Shekhar trusts overall

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

1. Sepp Hochreiter
2. Brenden M. Lake
3. P. Rodríguez
4. Jeffrey L. Elman
5. J. Urgen Schmidhuber
6. Marco Baroni
7. Janet Wiles

Who trusts Leena Shekhar overall

1. R. Thomas McCoy
2. Dieuwke Hupkes
3. Yotam Gil

Papers from Leena Shekhar's perspective

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

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

Their papers

• The Fine Line between Linguistic Generalization and Failure in Seq2Seq-Attention Models (2018) — 30 citations