Adil Karjauv
Artificial Intelligence · 2021
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
- Artificial Intelligence — 25 citations into it
- Safety, Robustness & Interpretability — 20 citations into it
- Computer Vision and Pattern Recognition — 12 citations into it
Whom Adil Karjauv trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Adil Karjauv's perspective
Ordered by how strongly the researchers Adil Karjauv trusts endorse each paper. Same corpus, a different order for every researcher.
- Intriguing properties of neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Explaining and Harnessing Adversarial Examples
- Et al
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Towards Deep Learning Models Resistant to Adversarial Attacks
- Learning Multiple Layers of Features from Tiny Images
- Long Short-Term Memory
Their papers
- A Survey On Universal Adversarial Attack (2021) — 115 citations