Dmytro Okhonko
Artificial Intelligence · 2019–2022
A researcher in the Science corpus: 8 papers; trusts 331 researchers and is trusted by 22 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 286 citations into it; #8,339 of 35,345 by trust here, #4,627 by citations
- Natural Language Processing — 194 citations into it; #1,937 of 5,688 by trust here, #2,132 by citations
- Computer Vision and Pattern Recognition — 156 citations into it
- Evaluation & Benchmarks — 67 citations into it
- Information Retrieval & Search — 52 citations into it
- Large Language Models — 51 citations into it
- Speech & Audio — 36 citations into it
- Signal Processing — 26 citations into it
Whom Dmytro Okhonko trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Diederik P. Kingma
- Yoshua Bengio
- Ilya Sutskever
- Alex Graves
- Alex Krizhevsky
- Kaiming He
- Yann LeCun
- Jimmy Ba
- Tomas Mikolov
Who trusts Dmytro Okhonko overall
- Alexei Baevski
- Qiantong Xu
- Abdel-rahman Mohamed
- Yu-An Chung
- Changhan Wang
- Juan Pino
- Demetres Kostas
- Armen Aghajanyan
- William Chan
- Xiangxiang Chu
Papers from Dmytro Okhonko's perspective
Ordered by how strongly the researchers Dmytro Okhonko trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- 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
- 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)
Their papers
- VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text Understanding (2021) — 814 citations
- CM3: A Causal Masked Multimodal Model of the Internet (2022) — 180 citations
- HTLM: Hyper-Text Pre-Training and Prompting of Language Models (2021) — 83 citations
- Transformers with convolutional context for ASR (2019) — 174 citations
- Fairseq S2T: Fast Speech-to-Text Modeling with Fairseq (2020) — 334 citations
- The Web Is Your Oyster - Knowledge-Intensive NLP against a Very Large Web Corpus (2021) — 79 citations
- UniK-QA: Unified Representations of Structured and Unstructured Knowledge for Open-Domain Question Answering (2020) — 106 citations
- CCQA: A New Web-Scale Question Answering Dataset for Model Pre-Training (2021) — 16 citations