Bilal Mirza

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 16 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Bilal Mirza trusts overall

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

1. Geoffrey E. Hinton
2. Isabelle M Guyon
3. P. Allison
4. Nitish Srivastava
5. Yoshua Bengio
6. L. V. D. van der Maaten
7. Brendan J. Frey
8. Ruslan Salakhutdinov
9. Chris H. Q. Ding
10. Yann LeCun

Papers from Bilal Mirza's perspective

Ordered by how strongly the researchers Bilal Mirza 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Going deeper with convolutions
9. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Machine Learning and Integrative Analysis of Biomedical Big Data (2019) — 304 citations