David McClosky
Artificial Intelligence · 2006–2016
A researcher in the Science corpus: 4 papers; trusts 20 researchers and is trusted by 348 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 37 citations into it; #994 of 35,345 by trust here, #1,681 by citations
- Natural Language Processing — 35 citations into it; #401 of 5,688 by trust here, #427 by citations
Whom David McClosky trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Eugene Charniak
- Daniel Gildea
- Michael Collins
- Mark Johnson
- Stanley F. Chen
- Liang Huang
- Terry Koo
- Mitchell P. Marcus
- Yoshua Bengio
- David Chiang
Who trusts David McClosky overall
- Roi Reichart
- Sebastian Ruder
- Rico Sennrich
- Nicola Ueffing
- Timo Schick
- Richard Socher
- Gregory F. Coppola
- Zhongqiang Huang
- Barbara Plank
- Vidur Joshi
Papers from David McClosky's perspective
Ordered by how strongly the researchers David McClosky trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- 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)
- Gradient-based learning applied to document recognition
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet: A large-scale hierarchical image database
Their papers
- The Stanford CoreNLP Natural Language Processing Toolkit (2014) — 7,642 citations
- Effective Self-Training for Parsing (2006) — 701 citations
- Reranking and Self-Training for Parser Adaptation (2006) — 286 citations
- The Role of Context Types and Dimensionality in Learning Word Embeddings (2016) — 126 citations