Evangelos Kanoulas
Artificial Intelligence · 2008–2019
A researcher in the Science corpus: 4 papers; trusts 16 researchers and is trusted by 11 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 15 citations into it; #15,603 of 35,345 by trust here, #22,463 by citations
- Natural Language Processing — 11 citations into it; #4,104 of 5,688 by trust here, #5,593 by citations
- Information Systems — 7 citations into it; #3,011 of 8,771 by trust here, #4,885 by citations
- Information Retrieval & Search — 6 citations into it; #599 of 1,022 by trust here, #690 by citations
Whom Evangelos Kanoulas trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alec Radford
- Kalervo Järvelin
- Radim Rehurek
- Jacob Devlin
- Ashish Vaswani
- Bryan McCann
- Ilya Sutskever
- Geoffrey E. Hinton
- Matthew E. Peters
- Jaana Kekäläinen
Who trusts Evangelos Kanoulas overall
- Ellen M. Voorhees
- Jimmy J. Lin
- Travis R. Goodwin
- Gregory Druck
- Zeynep Akkalyoncu Yilmaz
- Juliano Rabelo
- Rodrigo Nogueira
- Kirk Roberts
- Tobias Schnabel
- James Allan
Papers from Evangelos Kanoulas's perspective
Ordered by how strongly the researchers Evangelos Kanoulas trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Language Models are Unsupervised Multitask Learners
Their papers
- A simple and efficient sampling method for estimating AP and NDCG (2008) — 328 citations
- Empirical justification of the gain and discount function for nDCG (2009) — 71 citations
- Legal Information Retrieval with Generalized Language Models (2019)
- TREC 2017 Common Core Track Overview (2017) — 79 citations