Jared Fernandez

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 51 citations into it; #31,513 of 35,345 by trust here, #23,077 by citations
• Natural Language Processing — 44 citations into it; #5,072 of 5,688 by trust here, #4,361 by citations

Whom Jared Fernandez trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Yann LeCun
4. Diederik P. Kingma
5. Ilya Sutskever
6. Alex Krizhevsky
7. Kaiming He
8. Sepp Hochreiter
9. Dekang Lin
10. Alec Radford

Who trusts Jared Fernandez overall

1. Adyasha Maharana

Papers from Jared Fernandez's perspective

Ordered by how strongly the researchers Jared Fernandez trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Attention is All you Need (Neural Information Processing Systems)
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. Gradient-based learning applied to document recognition
8. ImageNet: A large-scale hierarchical image database
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• G-DAug: Generative Data Augmentation for Commonsense Reasoning (2020) — 92 citations