Sebastian Ebert

Artificial Intelligence · with Schütze · 2016

A researcher in the Science corpus: 2 papers; trusts 21 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 37 citations into it; #18,185 of 35,345 by trust here, #19,873 by citations
• Natural Language Processing — 29 citations into it; #3,792 of 5,688 by trust here, #4,361 by citations
• Representation & Self-Supervised Learning — 7 citations into it
• Information Systems — 6 citations into it
• Evaluation & Benchmarks — 5 citations into it

Whom Sebastian Ebert trusts overall

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

1. Juha Karhunen
2. Geoffrey E. Hinton
3. John C. Duchi
4. Jeffrey Pennington
5. Yoshua Bengio
6. Richard Socher
7. Kalervo Järvelin
8. Jason Aaron Edward Weston
9. Tomas Mikolov
10. Preslav Nakov

Who trusts Sebastian Ebert overall

1. Sven Buechel
2. Shuohang Wang
3. Saku Sugawara
4. Saif M. Mohammad
5. William L. Hamilton
6. Qiu Ran
7. Haichao Zhu
8. Adam Trischler
9. Ryan Musa

Papers from Sebastian Ebert's perspective

Ordered by how strongly the researchers Sebastian Ebert 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. ImageNet classification with deep convolutional neural networks
4. Attention is All you Need (Neural Information Processing Systems)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization

Their papers

• Attention-Based Convolutional Neural Network for Machine Comprehension (2016) — 101 citations
• Ultradense Word Embeddings by Orthogonal Transformation (2016) — 116 citations