Marianna J. Martindale
Artificial Intelligence · 2015–2019
A researcher in the Science corpus: 4 papers; trusts 32 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 38 citations into it
- Natural Language Processing — 35 citations into it; #2,834 of 5,688 by trust here, #3,107 by citations
- Computer Vision and Pattern Recognition — 15 citations into it
- Evaluation & Benchmarks — 12 citations into it
- Optimization & Training — 8 citations into it
Whom Marianna J. Martindale trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kenneth Heafield
- Diederik P. Kingma
- Jörg Tiedemann
- Philipp Koehn
- Rico Sennrich
- Yoshua Bengio
- Jimmy Ba
- Piotr Bojanowski
- Matt Post
- Armand Joulin
Who trusts Marianna J. Martindale overall
Papers from Marianna J. Martindale's perspective
Ordered by how strongly the researchers Marianna J. Martindale trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
Their papers
- A Large Labeled Corpus for Online Harassment Research (2017) — 232 citations
- An Empirical Exploration of Curriculum Learning for Neural Machine Translation (2018) — 125 citations
- Identifying Fluently Inadequate Output in Neural and Statistical Machine Translation (2019) — 34 citations
- Class-based N-gram language difference models for data selection (2015) — 16 citations