Aran Khanna

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 35 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 34 citations into it
• Computational Mathematics — 16 citations into it
• Computer Vision and Pattern Recognition — 16 citations into it
• Safety, Robustness & Interpretability — 13 citations into it
• Optimization & Training — 9 citations into it
• Model Architectures — 7 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Aran Khanna trusts overall

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

1. Kaiming He
2. Alex Krizhevsky
3. Karen Simonyan
4. Geoffrey E. Hinton
5. Diederik P. Kingma
6. Sergey Ioffe
7. Christian Szegedy
8. X. Zhang
9. Gao Huang
10. Yoshua Bengio

Papers from Aran Khanna's perspective

Ordered by how strongly the researchers Aran Khanna 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. ImageNet: A large-scale hierarchical image database
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Learning Multiple Layers of Features from Tiny Images
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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Long Short-Term Memory
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Stochastic Activation Pruning for Robust Adversarial Defense (2018) — 581 citations
• Tensor Regression Networks (2017) — 173 citations