Shauharda Khadka
Artificial Intelligence · 2018
A researcher in the Science corpus: 1 paper; trusts 103 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 37 citations into it; #24,200 of 35,345 by trust here, #32,362 by citations
- Reinforcement Learning — 32 citations into it
- Electrical and Electronic Engineering — 8 citations into it
- Optimization & Training — 8 citations into it
- Computer Vision and Pattern Recognition — 6 citations into it
- Computational Theory and Mathematics — 5 citations into it
Whom Shauharda Khadka trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Richard S. Sutton
- Jimmy Ba
- John Schulman
- Yoshua Bengio
- Alex Krizhevsky
- Kenneth O. Stanley
- Marc G. Bellemare
- Volodymyr Mnih
Who trusts Shauharda Khadka overall
- Jack Parker-Holder
- A. Su
- John D. Co-Reyes
- Aldo Pacchiano
- Jayden Ooi
- Yingjie Miao
- Krzysztof Marcin Choromanski
Papers from Shauharda Khadka's perspective
Ordered by how strongly the researchers Shauharda Khadka 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- 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
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- GENERATIVE ADVERSARIAL NETS
Their papers
- Evolution-Guided Policy Gradient in Reinforcement Learning (2018) — 298 citations