Rochelle Choenni
Artificial Intelligence · 2019–2021
A researcher in the Science corpus: 2 papers; trusts 21 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 34 citations into it; #25,116 of 35,345 by trust here, #24,417 by citations
- Natural Language Processing — 27 citations into it
- Safety, Robustness & Interpretability — 19 citations into it
- Cognitive Neuroscience — 11 citations into it; #6,758 of 10,852 by trust here, #8,363 by citations
- Computer Vision and Pattern Recognition — 8 citations into it
Whom Rochelle Choenni trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Aylin Caliskan
- Nikolaus Kriegeskorte
- Moin Nadeem
- Su Lin Blodgett
- Tolga Bolukbasi
- Lucas Dixon
- Keita Kurita
- Yinhan Liu
- Geoffrey E. Hinton
- Tony Sun
Who trusts Rochelle Choenni overall
Papers from Rochelle Choenni's perspective
Ordered by how strongly the researchers Rochelle Choenni trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- GloVe: Global Vectors for Word Representation
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database