Artemy Kolchinsky

Artificial Intelligence · 2018

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 28 citations into it
• Scaling & Learning Theory — 10 citations into it
• Optimization & Training — 7 citations into it
• Statistical and Nonlinear Physics — 5 citations into it

Whom Artemy Kolchinsky trusts overall

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

1. Diederik P. Kingma
2. Jimmy Ba
3. Geoffrey E. Hinton
4. Yann LeCun
5. Alex Krizhevsky
6. Yoshua Bengio
7. Naftali Tishby
8. J. Urgen Schmidhuber
9. Kaiming He
10. Christian Szegedy

Papers from Artemy Kolchinsky's perspective

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

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

Their papers

• On the information bottleneck theory of deep learning (2018) — 692 citations
• Caveats for information bottleneck in deterministic scenarios (2018) — 94 citations