Jitendra Jonnagaddala
Computer Vision and Pattern Recognition · 2020
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
- Computer Vision and Pattern Recognition — 12 citations into it
- Model Architectures — 5 citations into it
Whom Jitendra Jonnagaddala trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Jitendra Jonnagaddala's perspective
Ordered by how strongly the researchers Jitendra Jonnagaddala trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Rethinking the Inception Architecture for Computer Vision
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)