Hansika Hewamalage
Management Science and Operations Research · 2019
A researcher in the Science corpus: 1 paper; trusts 57 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Management Science and Operations Research — 33 citations into it; #9,733 of 11,946 by trust here, #7,638 by citations
- Artificial Intelligence — 32 citations into it
- Model Architectures — 22 citations into it
- Signal Processing — 21 citations into it
- Time-Series & Forecasting — 19 citations into it
- Optimization & Training — 9 citations into it
- Statistics and Probability — 9 citations into it
- Computer Vision and Pattern Recognition — 7 citations into it
Whom Hansika Hewamalage trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Rob J Hyndman
- Diederik P. Kingma
- Yoshua Bengio
- Geoffrey E. Hinton
- Kaiming He
- Sepp Hochreiter
- Jeffrey L. Elman
- Sergey Ioffe
- J. Urgen Schmidhuber
- Alex Krizhevsky
Who trusts Hansika Hewamalage overall
Papers from Hansika Hewamalage's perspective
Ordered by how strongly the researchers Hansika Hewamalage 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
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Learning Multiple Layers of Features from Tiny Images
- Going deeper with convolutions
Their papers
- Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions (2019) — 1,252 citations