Sandesh Ka-math
Artificial Intelligence · 2019
A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 15 citations into it
- Computer Vision and Pattern Recognition — 8 citations into it
- Safety, Robustness & Interpretability — 7 citations into it
Whom Sandesh Ka-math trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Sandesh Ka-math's perspective
Ordered by how strongly the researchers Sandesh Ka-math trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Intriguing properties of neural networks
- ImageNet classification with deep convolutional neural networks
- Explaining and Harnessing Adversarial Examples
- Gradient-based learning applied to document recognition
- Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour
- Long Short-Term Memory
- Towards Deep Learning Models Resistant to Adversarial Attacks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images