Anushan Fernando

Artificial Intelligence · 2023

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 39 citations into it
• Model Architectures — 26 citations into it
• Statistical and Nonlinear Physics — 11 citations into it
• Optimization & Training — 9 citations into it

Whom Anushan Fernando trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Yoshua Bengio
2. Geoffrey E. Hinton
3. Diederik P. Kingma
4. Albert Gu
5. Jimmy Ba
6. Kyunghyun Cho
7. Alex Krizhevsky
8. Sepp Hochreiter
9. Yann LeCun
10. Ilya Sutskever

Papers from Anushan Fernando's perspective

Ordered by how strongly the researchers Anushan Fernando trusts endorse each paper. Same corpus, a different order for every researcher.

1. Long Short-Term Memory
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Attention is All you Need (Neural Information Processing Systems)
4. ImageNet classification with deep convolutional neural networks
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Gradient-based learning applied to document recognition
7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Layer Normalization

Their papers

• Resurrecting Recurrent Neural Networks for Long Sequences (2023) — 516 citations