Blake Lemoine

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 36 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 7 citations into it; #6,021 of 35,345 by trust here, #6,664 by citations

Whom Blake Lemoine trusts overall

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

1. Diederik P. Kingma
2. Tomas Mikolov
3. Moritz Hardt
4. Jimmy Ba
5. Alex Beutel
6. Ian J. Goodfellow
7. Ilya Sutskever
8. Tolga Bolukbasi
9. Geoffrey E. Hinton

Who trusts Blake Lemoine overall

1. Sunipa Dev
2. Hila Gonen
3. Yanai Elazar
4. Chris Sweeney
5. Yoav Goldberg
6. Dana Pessach
7. Silvia Chiappa
8. Ben Hutchinson
9. Luca Oneto
10. Enyan Dai

Papers from Blake Lemoine's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Mitigating Unwanted Biases with Adversarial Learning (2018) — 1,702 citations