Benjamin Roth

Natural Language Processing · 2013–2015

A researcher in the Science corpus: 2 papers; trusts 42 researchers and is trusted by 35 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 25 citations into it
• Artificial Intelligence — 20 citations into it; #5,459 of 35,345 by trust here, #12,580 by citations
• Representation & Self-Supervised Learning — 12 citations into it; #1,240 of 3,145 by trust here, #2,805 by citations
• Computer Vision and Pattern Recognition — 7 citations into it
• Model Architectures — 6 citations into it
• Information Retrieval & Search — 5 citations into it

Whom Benjamin Roth trusts overall

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

1. Richard Socher
2. Ilya Sutskever
3. Yoshua Bengio
4. Christopher D. Manning
5. Mike D. Mintz
6. Geoffrey E. Hinton
7. Alex Graves
8. Oriol Vinyals
9. Tomas Mikolov
10. Paul J. Werbos

Who trusts Benjamin Roth overall

1. Alexander J. Ratner
2. Paroma Varma
3. Stephen H. Bach
4. Christopher R'e
5. Bryan D. He
6. Sahisnu Mazumder
7. Adam Yala
8. Rajarshi Das
9. Sen Wu
10. Tim Rocktaschel

Papers from Benjamin Roth's perspective

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

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

Their papers

• Compositional Vector Space Models for Knowledge Base Completion (2015) — 299 citations
• Combining Generative and Discriminative Model Scores for Distant Supervision (2013) — 44 citations