Ariel Jaffe

Artificial Intelligence · 2014

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it; #29,316 of 35,345 by trust here, #33,294 by citations
• Evaluation & Benchmarks — 8 citations into it

Whom Ariel Jaffe trusts overall

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

1. Thomas G. Dietterich
2. Pinar E. Donmez
3. Yuchen Zhang
4. Fabio Parisi
5. J. Whitehill
6. Mark A. Hall
7. Anima Anandkumar
8. Guy Lebanon
9. Francesco Strino
10. Xi Chen

Who trusts Ariel Jaffe overall

1. Jacob Steinhardt

Papers from Ariel Jaffe's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. ImageNet: A large-scale hierarchical image database
3. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Learning Multiple Layers of Features from Tiny Images
7. ImageNet Large Scale Visual Recognition Challenge
8. Attention is All you Need (Neural Information Processing Systems)
9. Long Short-Term Memory
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Estimating the accuracies of multiple classifiers without labeled data (2014) — 74 citations