Rajat Kumar
Artificial Intelligence · 2022
A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 43 citations into it
- Meta & Continual Learning — 19 citations into it
- Computer Vision and Pattern Recognition — 16 citations into it
Whom Rajat Kumar trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Diederik P. Kingma
- Arslan Chaudhry
- Max Welling
- Yoshua Bengio
- Alex Krizhevsky
- Marc'Aurelio Ranzato
- Alec Radford
- Yann LeCun
- Kaiming He
Papers from Rajat Kumar's perspective
Ordered by how strongly the researchers Rajat Kumar trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)