Or Gorodissky

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it
• Safety, Robustness & Interpretability — 11 citations into it
• Natural Language Processing — 10 citations into it
• Signal Processing — 5 citations into it

Whom Or Gorodissky trusts overall

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

1. Kyunghyun Cho
2. Dzmitry Bahdanau
3. Yoshua Bengio
4. Sepp Hochreiter
5. Geoffrey E. Hinton
6. Ian J. Goodfellow
7. J. Urgen Schmidhuber
8. Alex Krizhevsky
9. Diederik P. Kingma
10. Robin Jia

Papers from Or Gorodissky's perspective

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

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

Their papers

• White-to-Black: Efficient Distillation of Black-Box Adversarial Attacks (2019) — 56 citations