Daniel Jakubovitz

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 54 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 31 citations into it; #11,607 of 35,345 by trust here, #24,417 by citations
• Safety, Robustness & Interpretability — 25 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it

Whom Daniel Jakubovitz trusts overall

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

1. Diederik P. Kingma
2. Seyed-Mohsen Moosavi-Dezfooli
3. Ian J. Goodfellow
4. Nicolas Papernot
5. Geoffrey E. Hinton
6. Christian Szegedy
7. Alex Krizhevsky
8. Nicholas Carlini
9. Yoshua Bengio
10. Jimmy Ba

Who trusts Daniel Jakubovitz overall

1. Dinghuai Zhang
2. David Stutz
3. Gabriel Erion-Barner
4. Tianyuan Zhang
5. Hsueh-Ti Derek Liu
6. Matthias Hein
7. Yiping Lu
8. Joseph D. Janizek
9. Christian Etmann
10. Zhanxing Zhu

Papers from Daniel Jakubovitz's perspective

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

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

Their papers

• Improving DNN Robustness to Adversarial Attacks using Jacobian Regularization (2018) — 243 citations