Oksana Yakhnenko

Artificial Intelligence · 2005–2013

A researcher in the Science corpus: 4 papers; trusts 43 researchers and is trusted by 100 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 25 citations into it; #10,216 of 35,345 by trust here, #13,760 by citations
• Natural Language Processing — 16 citations into it; #4,641 of 5,688 by trust here, #5,412 by citations
• Representation & Self-Supervised Learning — 12 citations into it; #393 of 3,145 by trust here, #344 by citations
• Graph Learning — 8 citations into it; #71 of 693 by trust here, #67 by citations

Whom Oksana Yakhnenko trusts overall

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

1. Andrew McCallum
2. Antoine Bordes
3. Ning Qian
4. Jason Aaron Edward Weston
5. Yoshua Bengio
6. Andrew Y. Ng
7. Guillaume Bouchard
8. Sujun Hua
9. Manoj Bhasin
10. B. Taskar

Who trusts Oksana Yakhnenko overall

1. Zhen Wang
2. Zhengzheng Xing
3. Jason Aaron Edward Weston
4. Yankai Lin
5. Zhiyuan Liu
6. Alberto García-Durán
7. Antoine Bordes
8. Ben Krause
9. Guoliang Ji
10. Seyed Mehran Kazemi

Papers from Oksana Yakhnenko's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Irreflexive and Hierarchical Relations as Translations (2013) — 36 citations
• Connecting Language and Knowledge Bases with Embedding Models for Relation Extraction (2013) — 250 citations
• Discriminatively trained Markov model for sequence classification (2005) — 83 citations
• Translating Embeddings for Modeling Multi-relational Data (2013) — 9,012 citations