Alan Ramponi

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 100 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 61 citations into it; #18,188 of 35,345 by trust here, #28,481 by citations
• Natural Language Processing — 30 citations into it; #3,162 of 5,688 by trust here, #4,983 by citations
• Representation & Self-Supervised Learning — 26 citations into it; #1,892 of 3,145 by trust here, #2,863 by citations
• Computer Vision and Pattern Recognition — 18 citations into it
• Large Language Models — 7 citations into it
• Evaluation & Benchmarks — 6 citations into it
• Radiology, Nuclear Medicine and Imaging — 5 citations into it

Whom Alan Ramponi trusts overall

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

1. Sebastian Ruder
2. Yoshua Bengio
3. Geoffrey E. Hinton
4. Diederik P. Kingma
5. Roi Reichart
6. Alex Krizhevsky
7. Yann LeCun
8. Ilya Sutskever
9. Arthur Gretton
10. Xavier Glorot

Who trusts Alan Ramponi overall

1. Constantinos F. Karouzos
2. Xiang Dai
3. Xiaofeng Liu
4. Georgios Paraskevopoulos
5. Ilias Chalkidis
6. Chaehwa Yoo
7. Alexandros Potamianos
8. Eyal Ben-David
9. Sune Darkner

Papers from Alan Ramponi's perspective

Ordered by how strongly the researchers Alan Ramponi 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Neural Unsupervised Domain Adaptation in NLP—A Survey (2020) — 295 citations