Aleksandre Maskharashvili

Artificial Intelligence · 2020

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it
• Natural Language Processing — 20 citations into it
• Evaluation & Benchmarks — 8 citations into it

Whom Aleksandre Maskharashvili trusts overall

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

1. Claire Gardent
2. Ilya Loshchilov
3. Ondrej Dusek
4. Diederik P. Kingma
5. Thibault Sellam
6. Anusha Balakrishnan
7. Geoffrey E. Hinton
8. Myle Ott
9. Yoshua Bengio
10. Kyra Yee

Who trusts Aleksandre Maskharashvili overall

1. Soumya Batra
2. Pierre L. Dognin

Papers from Aleksandre Maskharashvili's perspective

Ordered by how strongly the researchers Aleksandre Maskharashvili 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. Long Short-Term Memory
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. ImageNet classification with deep convolutional neural networks
6. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
7. Bleu: a Method for Automatic Evaluation of Machine Translation
8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
10. Gradient-based learning applied to document recognition

Their papers

• Leveraging Large Pretrained Models for WebNLG 2020 (2020)
• Neural NLG for Methodius: From RST Meaning Representations to Texts (2020) — 8 citations