Gerasimos Lampouras

Artificial Intelligence · 2016–2022

A researcher in the Science corpus: 3 papers; trusts 38 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 73 citations into it
• Natural Language Processing — 50 citations into it; #2,160 of 5,688 by trust here, #4,361 by citations
• Computer Vision and Pattern Recognition — 20 citations into it
• Evaluation & Benchmarks — 13 citations into it
• Management Science and Operations Research — 6 citations into it
• Molecular Biology — 6 citations into it
• Reinforcement Learning — 6 citations into it

Whom Gerasimos Lampouras trusts overall

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

1. Stéphane Ross
2. Chin-Yew Lin
3. Yvette Graham
4. Michael Collins
5. Geoffrey E. Hinton
6. Diederik P. Kingma
7. Yoshua Bengio
8. J. Bagnell
9. Hongyuan Mei
10. Ilya Sutskever

Who trusts Gerasimos Lampouras overall

1. Jekaterina Novikova
2. Ondrej Dusek
3. Albert Gatt
4. Sebastian Gehrmann
5. Rajkumar Ramamurthy
6. Emiel Krahmer
7. Yevgeniy Puzikov
8. Shereen Oraby
9. Lena Reed
10. Verena Rieser

Papers from Gerasimos Lampouras's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Attention is All you Need (Neural Information Processing Systems)
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
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. ImageNet: A large-scale hierarchical image database

Their papers

• PanGu-Coder: Program Synthesis with Function-Level Language Modeling (2022) — 87 citations
• Conversation Graph: Data Augmentation, Training, and Evaluation for Non-Deterministic Dialogue Management (2020) — 20 citations
• Imitation learning for language generation from unaligned data (2016) — 52 citations