Aditya Devarakonda

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 33 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it
• Optimization & Training — 12 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it

Whom Aditya Devarakonda trusts overall

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

1. Kaiming He
2. Karen Simonyan
3. Sergey Ioffe
4. Jia Deng
5. Christian Szegedy
6. Andrew Zisserman
7. Alex Krizhevsky
8. Geoffrey E. Hinton
9. Ross B. Girshick
10. X. Zhang

Who trusts Aditya Devarakonda overall

1. Shihao Ji
2. Christopher J. Shallue
3. Hao Yu
4. Kazuki Osawa
5. Nadathur Rajagopalan Satish
6. Yang You
7. Jaehoon Lee

Papers from Aditya Devarakonda's perspective

Ordered by how strongly the researchers Aditya Devarakonda 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• AdaBatch: Adaptive Batch Sizes for Training Deep Neural Networks (2017) — 156 citations