Ritu Chadha

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it; #21,711 of 35,345 by trust here, #28,481 by citations
• Safety, Robustness & Interpretability — 12 citations into it

Whom Ritu Chadha trusts overall

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

1. Anish Athalye
2. Nicholas Carlini

Who trusts Ritu Chadha overall

1. Klas Leino
2. Matt Fredrikson
3. Zifan Wang
4. Erik Poll
5. Joost Visser
6. A. Serban

Papers from Ritu Chadha's perspective

Ordered by how strongly the researchers Ritu Chadha trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Intriguing properties of neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Towards Deep Learning Models Resistant to Adversarial Attacks
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. Natural Language Processing (Almost) from Scratch
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Limitations of the Lipschitz constant as a defense against adversarial examples (2018) — 90 citations