Janarthanan Rajendran
Artificial Intelligence · 2019–2020
A researcher in the Science corpus: 2 papers; trusts 78 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 55 citations into it; #28,553 of 35,345 by trust here, #23,731 by citations
- Reinforcement Learning — 37 citations into it
- Computer Vision and Pattern Recognition — 25 citations into it; #17,541 of 21,575 by trust here, #20,271 by citations
- Representation & Self-Supervised Learning — 15 citations into it
- Meta & Continual Learning — 12 citations into it
- Optimization & Training — 11 citations into it
Whom Janarthanan Rajendran trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Geoffrey E. Hinton
- Yann LeCun
- Yoshua Bengio
- Chelsea Finn
- Alex Krizhevsky
- Diederik P. Kingma
- Jia Deng
- Oriol Vinyals
- Richard S. Sutton
Who trusts Janarthanan Rajendran overall
Papers from Janarthanan Rajendran's perspective
Ordered by how strongly the researchers Janarthanan Rajendran 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Discovery of Useful Questions as Auxiliary Tasks (2019) — 90 citations
- Meta-Learning Requires Meta-Augmentation (2020) — 110 citations