Akilesh Badrinaaraayanan
Artificial Intelligence · 2020–2021
A researcher in the Science corpus: 2 papers; trusts 44 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 56 citations into it
- Computer Vision and Pattern Recognition — 29 citations into it
- Reinforcement Learning — 28 citations into it
- Meta & Continual Learning — 12 citations into it
- Management Science and Operations Research — 7 citations into it
- Representation & Self-Supervised Learning — 7 citations into it
Whom Akilesh Badrinaaraayanan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Arslan Chaudhry
- Marc'Aurelio Ranzato
- Yoshua Bengio
- Ilya Sutskever
- Yann LeCun
- Diederik P. Kingma
- Kaiming He
- Christian Szegedy
Who trusts Akilesh Badrinaaraayanan overall
Papers from Akilesh Badrinaaraayanan's perspective
Ordered by how strongly the researchers Akilesh Badrinaaraayanan trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- PatchUp: A Regularization Technique for Convolutional Neural Networks (2020) — 39 citations
- Continuous Coordination As a Realistic Scenario for Lifelong Learning (2021) — 52 citations