Nithin Raj
Artificial Intelligence · 2022
A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 18 citations into it
- Optimization & Training — 11 citations into it
Whom Nithin Raj trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Nithin Raj overall
Papers from Nithin Raj's perspective
Ordered by how strongly the researchers Nithin Raj trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- LIBLINEAR: A Library for Large Linear Classification
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Communication-Efficient Learning of Deep Networks from Decentralized Data
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- Attention is All you Need (Neural Information Processing Systems)
- On the momentum term in gradient descent learning algorithms