Balaji Krishnamurthy

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 190 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 63 citations into it; #33,212 of 35,345 by trust here, #23,077 by citations
• Computer Vision and Pattern Recognition — 55 citations into it
• Representation & Self-Supervised Learning — 35 citations into it
• Model Architectures — 8 citations into it

Whom Balaji Krishnamurthy trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Kaiming He
4. Diederik P. Kingma
5. Yoshua Bengio
6. Ilya Sutskever
7. Ross B. Girshick
8. Yann LeCun
9. Christian Szegedy
10. Sergey Ioffe

Who trusts Balaji Krishnamurthy overall

1. Przemyslaw Biecek

Papers from Balaji Krishnamurthy's perspective

Ordered by how strongly the researchers Balaji Krishnamurthy 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. ImageNet Large Scale Visual Recognition Challenge
5. Learning Multiple Layers of Features from Tiny Images
6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
7. ImageNet: A large-scale hierarchical image database
8. Gradient-based learning applied to document recognition
9. Long Short-Term Memory
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Charting the Right Manifold: Manifold Mixup for Few-shot Learning (2019) — 386 citations
• MAGIX: Model Agnostic Globally Interpretable Explanations (2017) — 44 citations