Raksha Kumaraswamy
Artificial Intelligence · 2015–2018
A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 18 citations into it; #20,404 of 35,345 by trust here, #23,731 by citations
- Representation & Self-Supervised Learning — 7 citations into it; #2,056 of 3,145 by trust here, #2,691 by citations
- Model Architectures — 5 citations into it
- Reinforcement Learning — 5 citations into it; #1,464 of 2,242 by trust here, #1,932 by citations
Whom Raksha Kumaraswamy trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Richard S. Sutton
- Jesse Davis
- Diederik P. Kingma
- Yoshua Bengio
- Pedro M. Domingos
- Geoffrey E. Hinton
- Sinno Jialin Pan
- Kaiming He
- Alireza Makhzani
- Luc De Raedt
Who trusts Raksha Kumaraswamy overall
Papers from Raksha Kumaraswamy's perspective
Ordered by how strongly the researchers Raksha Kumaraswamy trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- 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)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- The Utility of Sparse Representations for Control in Reinforcement Learning (2018) — 68 citations
- Transfer Learning via Relational Type Matching (2015) — 38 citations