Ozan Irsoy
Artificial Intelligence · 2012–2023
A researcher in the Science corpus: 9 papers; trusts 208 researchers and is trusted by 98 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 199 citations into it; #3,691 of 35,345 by trust here, #3,072 by citations
- Natural Language Processing — 134 citations into it; #1,059 of 5,688 by trust here, #774 by citations
- Computer Vision and Pattern Recognition — 63 citations into it; #8,673 of 21,575 by trust here, #3,017 by citations
- Model Architectures — 40 citations into it
- Evaluation & Benchmarks — 32 citations into it
- Representation & Self-Supervised Learning — 25 citations into it; #2,385 of 3,145 by trust here, #3,127 by citations
- Optimization & Training — 20 citations into it
- Management Science and Operations Research — 18 citations into it
Whom Ozan Irsoy trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Richard Socher
- Geoffrey E. Hinton
- Yoshua Bengio
- J. Urgen Schmidhuber
- Alex Krizhevsky
- Ilya Sutskever
- Tomas Mikolov
- Diederik P. Kingma
- Yann LeCun
- Alex Graves
Who trusts Ozan Irsoy overall
- Yoav Goldberg
- Vinícius G. Costa
- Tao Lei
- Eliyahu Kiperwasser
- Hao Peng
- Duyu Tang
- Lili Mou
- Anders Søgaard
- John Wieting
- Pengfei Liu
Papers from Ozan Irsoy's perspective
Ordered by how strongly the researchers Ozan Irsoy trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Ask Me Anything: Dynamic Memory Networks for Natural Language Processing (2015) — 1,220 citations
- Opinion Mining with Deep Recurrent Neural Networks (2014) — 392 citations
- Learning Syntax from Naturally-Occurring Bracketings (2021) — 6 citations
- BloombergGPT: A Large Language Model for Finance (2023) — 1,395 citations
- Collective Entity Disambiguation with Structured Gradient Tree Boosting (2018) — 41 citations
- Unsupervised feature extraction with autoencoder trees (2017) — 59 citations
- Deep Recursive Neural Networks for Compositionality in Language (2014) — 304 citations
- Budding Trees (2014) — 23 citations
- Soft decision trees (2012) — 150 citations