Yevgeniy Puzikov
Artificial Intelligence · 2017–2018
A researcher in the Science corpus: 2 papers; trusts 146 researchers and is trusted by 12 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 26 citations into it
- Natural Language Processing — 22 citations into it
- Evaluation & Benchmarks — 11 citations into it
- Computer Vision and Pattern Recognition — 8 citations into it
- Model Architectures — 8 citations into it
Whom Yevgeniy Puzikov trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ondrej Dusek
- Jekaterina Novikova
- Ilya Sutskever
- Kyunghyun Cho
- Dzmitry Bahdanau
- Yoshua Bengio
- Geoffrey E. Hinton
- Oriol Vinyals
- Ramakrishna Vedantam
- Diederik P. Kingma
Who trusts Yevgeniy Puzikov overall
- Chris Kedzie
- Xiaoyu Shen
- K. McKeown
- Amit Moryossef
- Ernie Chang
- Anastasia Shimorina
- Hui Su
- Yoav Goldberg
- Jie Zhou
- Renrui Zhang
Papers from Yevgeniy Puzikov's perspective
Ordered by how strongly the researchers Yevgeniy Puzikov 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
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- 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)
- ImageNet: A large-scale hierarchical image database
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- LSDSem 2017: Exploring Data Generation Methods for the Story Cloze Test (2017) — 12 citations
- NLG Challenge : Neural Models vs . Templates (2018)