Dimitris Kalimeris

Artificial Intelligence · 2019

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

Subfields

• Artificial Intelligence — 28 citations into it
• Scaling & Learning Theory — 19 citations into it
• Computer Vision and Pattern Recognition — 12 citations into it

Whom Dimitris Kalimeris trusts overall

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

1. Peter L. Bartlett
2. Kaiming He
3. Yoshua Bengio
4. Behnam Neyshabur
5. Geoffrey E. Hinton
6. Xavier Glorot
7. Alex Krizhevsky

Papers from Dimitris Kalimeris's perspective

Ordered by how strongly the researchers Dimitris Kalimeris 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. Gradient-based learning applied to document recognition
4. Learning Multiple Layers of Features from Tiny Images
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Understanding the difficulty of training deep feedforward neural networks
9. ImageNet: A large-scale hierarchical image database
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• SGD on Neural Networks Learns Functions of Increasing Complexity (2019) — 301 citations