Reza Abbasi-Asl

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 51 citations into it; #34,573 of 35,345 by trust here, #12,580 by citations
• Safety, Robustness & Interpretability — 39 citations into it
• Computer Vision and Pattern Recognition — 22 citations into it
• Natural Language Processing — 10 citations into it

Whom Reza Abbasi-Asl trusts overall

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

1. Robert Tibshirani
2. Geoffrey E. Hinton
3. Cynthia Rudin
4. Matthew D. Zeiler

Who trusts Reza Abbasi-Asl overall

1. Bin Yu

Papers from Reza Abbasi-Asl's perspective

Ordered by how strongly the researchers Reza Abbasi-Asl 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. Visualizing and Understanding Convolutional Networks
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet Large Scale Visual Recognition Challenge
9. ImageNet: A large-scale hierarchical image database
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Definitions, methods, and applications in interpretable machine learning (2019) — 1,811 citations