Anna N. Rafferty
Artificial Intelligence · 2008–2018
A researcher in the Science corpus: 4 papers; trusts 9 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 29 citations into it; #29,833 of 35,345 by trust here, #19,018 by citations
- Natural Language Processing — 11 citations into it; #4,391 of 5,688 by trust here, #4,449 by citations
- Evaluation & Benchmarks — 5 citations into it
Whom Anna N. Rafferty trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ido Dagan
- Xiaojin Zhu
- Daniel Klein
- Jeffrey L. Elman
- Koby Crammer
- Daniel Marcu
- Danilo Giampiccolo
- Christopher D. Manning
- Radford M. Neal
- Bernardo Magnini
Who trusts Anna N. Rafferty overall
Papers from Anna N. Rafferty's perspective
Ordered by how strongly the researchers Anna N. Rafferty 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
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Curriculum learning
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- An Overview of Machine Teaching (2018) — 193 citations
- AXIS: Generating Explanations at Scale with Learnersourcing and Machine Learning (2016) — 177 citations
- Optimal Language Learning: The Importance of Starting Representative (2010) — 7 citations
- Finding Contradictions in Text (2008) — 301 citations