Denis Peskov
Artificial Intelligence · 2017–2019
A researcher in the Science corpus: 3 papers; trusts 42 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 35 citations into it; #21,610 of 35,345 by trust here, #24,417 by citations
- Natural Language Processing — 35 citations into it; #3,682 of 5,688 by trust here, #4,539 by citations
- Computer Vision and Pattern Recognition — 14 citations into it; #14,519 of 21,575 by trust here, #17,258 by citations
- Evaluation & Benchmarks — 11 citations into it
Whom Denis Peskov trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Richard Socher
- J. E. Ramos
- Jeffrey Pennington
- Christopher D. Manning
- Geoffrey E. Hinton
- Yoshua Bengio
- Honglak Lee
- Diederik P. Kingma
- Frank Wessel
- Ilya Sutskever
Who trusts Denis Peskov overall
- Aditya Gupta
- Svitlana Vakulenko
- Daniel Matthew Cer
- R. Anantha
- Huihan Li
- Zeqiu Wu
- Chen Qu
- Jordan L. Boyd-Graber
Papers from Denis Peskov's perspective
Ordered by how strongly the researchers Denis Peskov 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
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Can You Unpack That? Learning to Rewrite Questions-in-Context (2019) — 242 citations
- Mitigating Noisy Inputs for Question Answering (2019) — 16 citations
- UMDeep at SemEval-2017 Task 1: End-to-End Shared Weight LSTM Model for Semantic Textual Similarity (2017) — 7 citations