Artem Sokolov
Artificial Intelligence · 2016–2021
A researcher in the Science corpus: 8 papers; trusts 255 researchers and is trusted by 27 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 188 citations into it; #4,887 of 35,345 by trust here, #5,880 by citations
- Natural Language Processing — 123 citations into it; #1,271 of 5,688 by trust here, #1,480 by citations
- Computer Vision and Pattern Recognition — 63 citations into it; #10,324 of 21,575 by trust here, #9,079 by citations
- Reinforcement Learning — 45 citations into it; #688 of 2,242 by trust here, #1,395 by citations
- Management Science and Operations Research — 42 citations into it; #1,694 of 11,946 by trust here, #3,247 by citations
- Optimization & Training — 39 citations into it
- Evaluation & Benchmarks — 29 citations into it
- Model Architectures — 26 citations into it
Whom Artem Sokolov trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Diederik P. Kingma
- Ilya Sutskever
- Geoffrey E. Hinton
- Richard S. Sutton
- Kyunghyun Cho
- Alex Graves
- Thorsten Joachims
- Rico Sennrich
- Franz Joseph Och
Who trusts Artem Sokolov overall
- Julia Kreutzer
- Yang Gao
- Stefan Riezler
- Carolin (Haas) Lawrence
- Christian M. Meyer
- Samuel Kiegeland
- Iryna Gurevych
- Shahram Khadivi
- Tsz Kin Lam
- Evgeny Matusov
Papers from Artem Sokolov's perspective
Ordered by how strongly the researchers Artem Sokolov 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)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets (2021) — 356 citations
- Sockeye: A Toolkit for Neural Machine Translation (2017) — 217 citations
- Learning to Segment Inputs for NMT Favors Character-Level Processing (2018) — 33 citations
- Counterfactual Learning from Bandit Feedback under Deterministic Logging : A Case Study in Statistical Machine Translation (2017) — 33 citations
- Learning Structured Predictors from Bandit Feedback for Interactive NLP (2016) — 34 citations
- Stochastic Structured Prediction under Bandit Feedback (2016) — 31 citations
- Bandit Structured Prediction for Neural Sequence-to-Sequence Learning (2017) — 56 citations
- A Shared Task on Bandit Learning for Machine Translation (2017) — 16 citations