Brian Murphy
Natural Language Processing · 2012–2015
A researcher in the Science corpus: 3 papers; trusts 35 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Natural Language Processing — 27 citations into it
- Artificial Intelligence — 16 citations into it
- Representation & Self-Supervised Learning — 16 citations into it; #2,152 of 3,145 by trust here, #2,217 by citations
- Developmental and Educational Psychology — 7 citations into it
Whom Brian Murphy trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- T. Landauer
- David M. Blei
- Magnus Sahlgren
- Patrik O. Hoyer
- George Karypis
- Geoffrey E. Hinton
- Tom Michael Mitchell
- Yoshua Bengio
- John A. Bullinaria
- Francis R. Bach
Who trusts Brian Murphy overall
- Leila Wehbe
- Alona Fyshe
- Yonatan Belinkov
- Lutfi Kerem Senel
- Jiwei Li
- Partha P. Talukdar
- Kirthevasan Kandasamy
- Mariya Toneva
- Kyunghyun Cho
- Ihsan Utlu
Papers from Brian Murphy's perspective
Ordered by how strongly the researchers Brian Murphy 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)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
Their papers
- A Compositional and Interpretable Semantic Space (2015) — 70 citations
- Simultaneously Uncovering the Patterns of Brain Regions Involved in Different Story Reading Subprocesses (2014) — 312 citations
- Learning Effective and Interpretable Semantic Models using Non-Negative Sparse Embedding (2012) — 193 citations