Tamas B. Fehér
Molecular Biology · 2020–2021
A researcher in the Science corpus: 3 papers; trusts 23 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 73 citations into it
- Artificial Intelligence — 72 citations into it
- Computational Biology & Bioinformatics — 55 citations into it
- Natural Language Processing — 47 citations into it
- Computer Vision and Pattern Recognition — 28 citations into it
- Computational Theory and Mathematics — 11 citations into it
- Evaluation & Benchmarks — 11 citations into it
- Hardware and Architecture — 10 citations into it
Whom Tamas B. Fehér trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Tamas B. Fehér's perspective
Ordered by how strongly the researchers Tamas B. Fehér trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
- GloVe: Global Vectors for Word Representation
Their papers
- ProtTrans: Towards Cracking the Language of Life’s Code Through Self-Supervised Deep Learning and High Performance Computing (2020) — 1,354 citations
- ProtTrans: Towards Cracking the Language of Life’s Code Through Self-Supervised Learning (2021)
- CodeTrans: Towards Cracking the Language of Silicone's Code Through Self-Supervised Deep Learning and High Performance Computing (2021) — 85 citations