Melika Behjati

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 — 24 citations into it
• Safety, Robustness & Interpretability — 13 citations into it
• Natural Language Processing — 11 citations into it
• Signal Processing — 9 citations into it
• Model Architectures — 5 citations into it

Whom Melika Behjati trusts overall

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

1. Diederik P. Kingma
2. Sepp Hochreiter
3. Yann LeCun
4. Geoffrey E. Hinton
5. Ian J. Goodfellow
6. Christian Szegedy
7. Tomas Mikolov
8. Yoshua Bengio
9. Mike Schuster
10. Alex Krizhevsky

Who trusts Melika Behjati overall

1. Chaoning Zhang
2. Ethan Perez

Papers from Melika Behjati's perspective

Ordered by how strongly the researchers Melika Behjati 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. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Going deeper with convolutions
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Universal Adversarial Attacks on Text Classifiers (2019) — 110 citations