Goran Nenadic
Artificial Intelligence · 2004–2020
A researcher in the Science corpus: 6 papers; trusts 175 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 152 citations into it
- Natural Language Processing — 93 citations into it
- Evaluation & Benchmarks — 55 citations into it
- Molecular Biology — 48 citations into it
- Computer Vision and Pattern Recognition — 40 citations into it
- Safety, Robustness & Interpretability — 19 citations into it
- Information Systems — 10 citations into it
- Representation & Self-Supervised Learning — 10 citations into it
Whom Goran Nenadic trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
- Ilya Sutskever
- Alex Krizhevsky
- Yann LeCun
- Kaiming He
- Alex Graves
- Tomas Mikolov
- Richard Socher
Who trusts Goran Nenadic overall
Papers from Goran Nenadic's perspective
Ordered by how strongly the researchers Goran Nenadic trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Beyond Leaderboards: A survey of methods for revealing weaknesses in Natural Language Inference data and models (2020) — 18 citations
- LINNAEUS: A species name identification system for biomedical literature (2010) — 392 citations
- Term identification in the biomedical literature (2004) — 354 citations
- Machine learning methods for wind turbine condition monitoring: A review (2019) — 704 citations
- Deep learning meets ontologies: experiments to anchor the cardiovascular disease ontology in the biomedical literature (2018) — 49 citations
- Clinical Text Data in Machine Learning: Systematic Review (2020) — 311 citations