Denis Paperno
Artificial Intelligence · 2016–2019
A researcher in the Science corpus: 4 papers; trusts 60 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 83 citations into it; #35,246 of 35,345 by trust here, #5,880 by citations
- Natural Language Processing — 75 citations into it
- Representation & Self-Supervised Learning — 29 citations into it
- Computer Vision and Pattern Recognition — 21 citations into it
- Evaluation & Benchmarks — 13 citations into it
Whom Denis Paperno trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Tomas Mikolov
- Yoshua Bengio
- Geoffrey E. Hinton
- Sepp Hochreiter
- Ilya Sutskever
- Diederik P. Kingma
- Omer Levy
- J. Urgen Schmidhuber
- Alex Krizhevsky
- Andreas Stolcke
Who trusts Denis Paperno overall
- Elias Frantar
- Guangxuan Xiao
- Zhengxiao Du
- Sang Michael Xie
- Shaojie Bai
- Tim Dettmers
- Jack W. Rae
- Edouard Grave
- Sebastian Schuster
- Ronen Eldan
Papers from Denis Paperno's perspective
Ordered by how strongly the researchers Denis Paperno 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
- 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)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
Their papers
- The LAMBADA dataset: Word prediction requiring a broad discourse context (2016) — 1,160 citations
- Human and Machine Judgements for Russian Semantic Relatedness (2016) — 49 citations
- What do you mean, BERT? Assessing BERT as a Distributional Semantics Model (2019) — 49 citations
- Distributional Effects of Gender Contrasts Across Categories (2019) — 15 citations