Ali Safaya
Artificial Intelligence · 2020–2023
A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 10 citations into it; #28,141 of 35,345 by trust here, #31,361 by citations
- Natural Language Processing — 7 citations into it; #4,642 of 5,688 by trust here, #5,296 by citations
Whom Ali Safaya trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoon Kim
- Marcos Zampieri
- Gerard A. Salton
- Bernhard E. Boser
- Jacob Devlin
- Ming-Wei Chang
- Iulia Turc
- Kenton C. T. Lee
- Chris Buckley
- Preslav Nakov
Who trusts Ali Safaya overall
Papers from Ali Safaya's perspective
Ordered by how strongly the researchers Ali Safaya trusts endorse each paper. Same corpus, a different order for every researcher.
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
Their papers
- KUISAIL at SemEval-2020 Task 12: BERT-CNN for Offensive Speech Identification in Social Media (2020) — 378 citations
- Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models (2023) — 266 citations
- Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models (2022) — 2,561 citations