Reza Babanezhad Harikandeh

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it
• Probabilistic & Bayesian Methods — 12 citations into it
• Causal Inference & Discovery — 11 citations into it
• Optimization & Training — 7 citations into it
• Statistics and Probability — 6 citations into it

Whom Reza Babanezhad Harikandeh trusts overall

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

1. Tom L. Burr
2. David Maxwell Chickering
3. John C. Duchi
4. Bernhard Schölkopf
5. Martin J. Wainwright
6. Yoshua Bengio
7. Jan Peters
8. Michael I. Jordan
9. Judea Pearl
10. Sébastien Lachapelle

Papers from Reza Babanezhad Harikandeh's perspective

Ordered by how strongly the researchers Reza Babanezhad Harikandeh 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Learning Multiple Layers of Features from Tiny Images
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• An Analysis of the Adaptation Speed of Causal Models (2020) — 15 citations