U. Rajendra Acharya
Artificial Intelligence · 2020–2023
A researcher in the Science corpus: 2 papers; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 140 citations into it
- Computer Vision and Pattern Recognition — 98 citations into it
- Probabilistic & Bayesian Methods — 54 citations into it
- Experimental and Cognitive Psychology — 49 citations into it
Whom U. Rajendra Acharya trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from U. Rajendra Acharya's perspective
Ordered by how strongly the researchers U. Rajendra Acharya trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Auto-Encoding Variational Bayes (International Conference on Learning Representations)
- Dropout: a simple way to prevent neural networks from overfitting
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database