Diana Inkpen
Artificial Intelligence · 2006–2018
A researcher in the Science corpus: 8 papers; trusts 155 researchers and is trusted by 109 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 140 citations into it; #2,452 of 35,345 by trust here, #3,246 by citations
- Natural Language Processing — 135 citations into it; #816 of 5,688 by trust here, #845 by citations
- Computer Vision and Pattern Recognition — 41 citations into it; #4,381 of 21,575 by trust here, #3,186 by citations
- Representation & Self-Supervised Learning — 26 citations into it
- Model Architectures — 18 citations into it
- Evaluation & Benchmarks — 17 citations into it
- Social Psychology — 6 citations into it
- Information Retrieval & Search — 5 citations into it
Whom Diana Inkpen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Peter D. Turney
- Diederik P. Kingma
- George A. Miller
- Geoffrey E. Hinton
- Yoshua Bengio
- Christopher D. Manning
- Thorsten Joachims
- Richard Socher
- Bo Pang
- Dekang Lin
Who trusts Diana Inkpen overall
- Maite Taboada
- Qian Chen
- Mohit Bansal
- Tom Kenter
- Radu Soricut
- Malika Aubakirova
- Bruno Ohana
- Chenghua Lin
- Mohammad Taher Pilehvar
- James Thorne
Papers from Diana Inkpen's perspective
Ordered by how strongly the researchers Diana Inkpen trusts endorse each paper. Same corpus, a different order for every researcher.
- 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)
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- Enhanced LSTM for Natural Language Inference (2016) — 1,185 citations
- Recurrent Neural Network-Based Sentence Encoder with Gated Attention for Natural Language Inference (2017) — 100 citations
- Neural Natural Language Inference Models Enhanced with External Knowledge (2017) — 227 citations
- SENTIMENT CLASSIFICATION of MOVIE REVIEWS USING CONTEXTUAL VALENCE SHIFTERS (2006) — 823 citations
- Deep Learning for Depression Detection of Twitter Users (2018) — 330 citations
- Natural Language Inference with External Knowledge (2017) — 43 citations
- Comparison of Semantic Similarity for Different Languages Using the Google n-gram Corpus and Second-Order Co-occurrence Measures (2011) — 50 citations
- Semantic text similarity using corpus-based word similarity and string similarity (2008) — 560 citations