Akshay Degwekar

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it
• Safety, Robustness & Interpretability — 12 citations into it
• Computational Theory and Mathematics — 7 citations into it

Whom Akshay Degwekar trusts overall

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

1. Chris Peikert
2. Preetum Nakkiran
3. Sanjeev Arora
4. Avrim Blum
5. Rong Ge
6. Nicholas Carlini
7. Adam Tauman Kalai
8. Oded Regev
9. Craig Gentry
10. Sébastien Bubeck

Who trusts Akshay Degwekar overall

1. Jeremy M. Cohen
2. Sébastien Bubeck

Papers from Akshay Degwekar's perspective

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

Their papers

• Computational Limitations in Robust Classification and Win-Win Results (2019) — 40 citations