Anton Voronov

Natural Language Processing · 2021

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 24 citations into it

Whom Anton Voronov trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. John Wieting
2. Geoffrey E. Hinton
3. Jacob Devlin
4. Diederik P. Kingma
5. Yoshua Bengio
6. Ilya Sutskever
7. Alec Radford
8. Kevin Gimpel
9. Alex Krizhevsky
10. Yann LeCun

Papers from Anton Voronov's perspective

Ordered by how strongly the researchers Anton Voronov trusts endorse each paper. Same corpus, a different order for every researcher.

1. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
2. Attention is All you Need (Neural Information Processing Systems)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Long Short-Term Memory
5. ImageNet classification with deep convolutional neural networks
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Language Models are Unsupervised Multitask Learners
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Gradient-based learning applied to document recognition

Their papers

• Text Detoxification using Large Pre-trained Neural Models (2021) — 100 citations