Esther Goldbraich

Artificial Intelligence · 2019

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

Subfields

• Artificial Intelligence — 28 citations into it; #34,050 of 35,345 by trust here, #17,412 by citations

Whom Esther Goldbraich trusts overall

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

1. Diederik P. Kingma
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Andrew Y. Ng
5. Yoshua Bengio
6. Alec Radford
7. Ilya Sutskever

Who trusts Esther Goldbraich overall

1. Timo Schick

Papers from Esther Goldbraich's perspective

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

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

Their papers

• Do Not Have Enough Data? Deep Learning to the Rescue! (2019) — 410 citations