Numair Sani

Safety, Robustness & Interpretability · 2020

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Safety, Robustness & Interpretability — 9 citations into it
• Statistics and Probability — 8 citations into it

Whom Numair Sani trusts overall

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

1. Ker-Chau Li
2. Yingcun Xia
3. Jenna Burrell
4. Bing Li
5. Trevor J. Hastie
6. Robert Tibshirani
7. Edward Choi
8. Shaoli Wang
9. Zachary Chase Lipton
10. Tong Wang

Papers from Numair Sani's perspective

Ordered by how strongly the researchers Numair Sani 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. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• A Semiparametric Approach to Interpretable Machine Learning (2020) — 6 citations