Eric Nyberg
Artificial Intelligence · 2009–2019
A researcher in the Science corpus: 10 papers; trusts 214 researchers and is trusted by 39 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 138 citations into it; #6,270 of 35,345 by trust here, #3,582 by citations
- Natural Language Processing — 114 citations into it; #1,815 of 5,688 by trust here, #1,056 by citations
- Computer Vision and Pattern Recognition — 47 citations into it; #11,668 of 21,575 by trust here, #13,542 by citations
- Information Retrieval & Search — 24 citations into it
- Information Systems — 19 citations into it
- Evaluation & Benchmarks — 17 citations into it; #2,401 of 3,147 by trust here, #817 by citations
- Model Architectures — 17 citations into it; #824 of 2,278 by trust here, #1,509 by citations
- Representation & Self-Supervised Learning — 12 citations into it
Whom Eric Nyberg trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Graves
- Yoshua Bengio
- Geoffrey E. Hinton
- Diederik P. Kingma
- Ilya Sutskever
- Sepp Hochreiter
- Christopher D. Manning
- Oriol Vinyals
- Alex Krizhevsky
- J. Urgen Schmidhuber
Who trusts Eric Nyberg overall
- Ming Tan
- C. D. Santos
- Bing Xiang
- Dimitris Pappas
- Di Wang
- Shilpa Arora
- Bowen Zhou
- Wei Zhao
- Zhou Zhao
- Yury Malkov
Papers from Eric Nyberg's perspective
Ordered by how strongly the researchers Eric Nyberg trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- Building Watson: An Overview of the DeepQA Project (2010) — 1,590 citations
- Steering Output Style and Topic in Neural Response Generation (2017) — 68 citations
- A Long Short-Term Memory Model for Answer Sentence Selection in Question Answering (2015) — 353 citations
- Shakespearizing Modern Language Using Copy-Enriched Sequence to Sequence Models (2017) — 190 citations
- Structural Embedding of Syntactic Trees for Machine Comprehension (2017) — 51 citations
- Towards Generalizable Neuro-Symbolic Systems for Commonsense Question Answering (2019) — 94 citations
- Rank learning for factoid question answering with linguistic and semantic constraints (2010) — 58 citations
- Interactive Annotation Learning with Indirect Feature Voting (2009) — 15 citations
- Permutation Search Methods are Efficient, Yet Faster Search is Possible (2015) — 59 citations
- Sentiment Classification using Automatically Extracted Subgraph Features (2010) — 54 citations