Oren Barkan

Artificial Intelligence · 2016–2019

A researcher in the Science corpus: 4 papers; trusts 78 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 41 citations into it
• Natural Language Processing — 37 citations into it
• Representation & Self-Supervised Learning — 22 citations into it; #1,069 of 3,145 by trust here, #2,757 by citations
• Computer Vision and Pattern Recognition — 15 citations into it
• Evaluation & Benchmarks — 7 citations into it
• Information Systems — 7 citations into it
• Multimodal Learning — 5 citations into it
• Recommender Systems — 5 citations into it

Whom Oren Barkan trusts overall

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

1. Geoffrey E. Hinton
2. Tomas Mikolov
3. Radford M. Neal
4. Richard Socher
5. Yoshua Bengio
6. Ilya Sutskever
7. Ronan Collobert
8. Diederik P. Kingma
9. Ruslan Salakhutdinov
10. Ulrich Paquet

Who trusts Oren Barkan overall

1. Susan Athey
2. Robert Bamler
3. Spurthi Amba Hombaiah
4. Noam Koenigstein
5. Stephan Mandt
6. Guido W. Imbens
7. Hoyeop Lee
8. Francisco J. R. Ruiz
9. Yupeng Hou
10. Jimmy J. Lin

Papers from Oren Barkan's perspective

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

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

Their papers

• Scalable Attentive Sentence-Pair Modeling via Distilled Sentence Embedding (2019) — 38 citations
• Modelling Session Activity with Neural Embedding (2016) — 7 citations
• ITEM2VEC: Neural item embedding for collaborative filtering (2016) — 548 citations
• Bayesian Neural Word Embedding (2016) — 89 citations