Ashwin De Silva
Artificial Intelligence · 2023
A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 19 citations into it
- Representation & Self-Supervised Learning — 11 citations into it
Whom Ashwin De Silva trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jonathan Baxter
- Bianca Zadrozny
- Yu Zhang
- Shai Ben-David
- Kun Zhang
- Hayden S. Helm
- Luc Devroye
- Mikhail Belkin
- Shiliang Sun
- Ya Xue
Papers from Ashwin De Silva's perspective
Ordered by how strongly the researchers Ashwin De Silva trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- 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)
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge