Divya Gopinath

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it; #30,513 of 35,345 by trust here, #26,682 by citations
• Safety, Robustness & Interpretability — 15 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it

Whom Divya Gopinath trusts overall

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

1. Nicholas Carlini
2. Guy Katz
3. Ian J. Goodfellow
4. Rüdiger Ehlers
5. Christian Szegedy
6. Luca Pulina
7. Nicolas Papernot
8. Kyle D. Julian
9. Clark W. Barrett
10. Seyed-Mohsen Moosavi-Dezfooli

Who trusts Divya Gopinath overall

1. Matthew Wicker
2. Lei Ma
3. Wenjie Ruan
4. Xiaowei Huang
5. Xiaofei Xie
6. Guy Katz
7. Felix Juefei-Xu
8. Marta Z. Kwiatkowska

Papers from Divya Gopinath's perspective

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

Their papers

• DeepSafe: A Data-driven Approach for Checking Adversarial Robustness in Neural Networks (2017) — 93 citations