Kishan Wimalawarne

Representation & Self-Supervised Learning · 2014

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Representation & Self-Supervised Learning — 5 citations into it

Whom Kishan Wimalawarne trusts overall

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

1. Jonathan Baxter
2. R. Caruana
3. Massimiliano Pontil
4. Rie Kubota Ando
5. Bart J. Bakker
6. Andreas Argyriou
7. Bernardino Romera-Paredes
8. Tong Zhang
9. Andreas Maurer
10. Tom M. Heskes

Who trusts Kishan Wimalawarne overall

1. Yongxin Yang
2. Timothy M. Hospedales
3. Yu Zhang
4. Chenyang Zhao
5. Qiang Yang

Papers from Kishan Wimalawarne's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Multitask Learning
4. A Model of Inductive Bias Learning
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet: A large-scale hierarchical image database
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Multitask learning meets tensor factorization: task imputation via convex optimization (2014) — 83 citations