S. Balasubramanian

Computer Vision and Pattern Recognition · with Sarma · 2019

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 15 citations into it; #21,068 of 21,575 by trust here, #20,756 by citations
• Artificial Intelligence — 10 citations into it; #34,628 of 35,345 by trust here, #33,294 by citations
• Model Architectures — 8 citations into it

Whom S. Balasubramanian trusts overall

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

1. Geoffrey E. Hinton
2. Taco Cohen
3. Alex Krizhevsky
4. Max Welling
5. Han Xiao
6. Tarin Clanuwat
7. Sara Sabour

Who trusts S. Balasubramanian overall

1. David W. Romero

Papers from S. Balasubramanian's perspective

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

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

Their papers

• Building Deep, Equivariant Capsule Networks (2019) — 29 citations