Emmanouil Antonios Platanios
Artificial Intelligence · 2014–2021
A researcher in the Science corpus: 7 papers; trusts 114 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 132 citations into it; #19,251 of 35,345 by trust here, #4,602 by citations
- Natural Language Processing — 102 citations into it; #3,465 of 5,688 by trust here, #2,243 by citations
- Computer Vision and Pattern Recognition — 58 citations into it; #12,837 of 21,575 by trust here, #8,831 by citations
- Model Architectures — 10 citations into it
- Representation & Self-Supervised Learning — 10 citations into it
Whom Emmanouil Antonios Platanios trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Diederik P. Kingma
- Geoffrey E. Hinton
- Kyunghyun Cho
- Ilya Sutskever
- Dzmitry Bahdanau
- Rico Sennrich
- Sepp Hochreiter
- Alex Krizhevsky
- Alex Graves
Who trusts Emmanouil Antonios Platanios overall
- Anna Currey
- Tomás Nekvinda
- Naveen Arivazhagan
- Ankur Bapna
- Biao Zhang
- Zhaoxi Mu
- Ningning Ma
- Jiatao Gu
- Magdalena Biesialska
- Dana Ruiter
Papers from Emmanouil Antonios Platanios's perspective
Ordered by how strongly the researchers Emmanouil Antonios Platanios trusts endorse each paper. Same corpus, a different order for every researcher.
- 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)
- 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
- 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)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- Never-Ending Learning (2015) — 1,135 citations
- Contextual Parameter Generation for Universal Neural Machine Translation (2018) — 152 citations
- Constrained Language Models Yield Few-Shot Semantic Parsers (2021) — 247 citations
- Jelly Bean World: A Testbed for Never-Ending Learning (2020) — 27 citations
- Value-Agnostic Conversational Semantic Parsing (2021) — 21 citations
- Competence-based Curriculum Learning for Neural Machine Translation (2019) — 425 citations
- Estimating Accuracy from Unlabeled Data (2014) — 73 citations