Dario Stojanovski

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 115 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 43 citations into it; #17,378 of 35,345 by trust here, #29,412 by citations
• Natural Language Processing — 39 citations into it; #3,050 of 5,688 by trust here, #5,092 by citations
• Computer Vision and Pattern Recognition — 24 citations into it; #11,000 of 21,575 by trust here, #18,782 by citations
• Model Architectures — 6 citations into it
• Optimization & Training — 6 citations into it
• Evaluation & Benchmarks — 5 citations into it
• Large Language Models — 5 citations into it

Whom Dario Stojanovski trusts overall

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

1. Diederik P. Kingma
2. Rico Sennrich
3. Yoshua Bengio
4. Geoffrey E. Hinton
5. Jimmy Ba
6. Kyunghyun Cho
7. Dzmitry Bahdanau
8. Ilya Sutskever
9. Alex Krizhevsky
10. Tim Salimans

Who trusts Dario Stojanovski overall

1. Kellie Webster
2. Sachin Kumar
3. Emily Pitler
4. Junlin Yang

Papers from Dario Stojanovski's perspective

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

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

Their papers

• Reusing a Pretrained Language Model on Languages with Limited Corpora for Unsupervised NMT (2020) — 36 citations
• Coreference and Coherence in Neural Machine Translation: A Study Using Oracle Experiments (2018) — 27 citations