Mahesh Chandra Mukkamala
Artificial Intelligence · 2017
A researcher in the Science corpus: 1 paper; trusts 57 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 15 citations into it; #23,240 of 35,345 by trust here, #25,809 by citations
- Optimization & Training — 12 citations into it
- Management Science and Operations Research — 7 citations into it; #7,288 of 11,946 by trust here, #7,262 by citations
- Computer Vision and Pattern Recognition — 6 citations into it
Whom Mahesh Chandra Mukkamala trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Elad Hazan
- Kaiming He
- L. Eon Bottou
- Christian Szegedy
- J. Urgen Schmidhuber
- X. Zhang
- Geoffrey E. Hinton
- Alex Krizhevsky
- Andrej Karpathy
- John C. Duchi
Who trusts Mahesh Chandra Mukkamala overall
Papers from Mahesh Chandra Mukkamala's perspective
Ordered by how strongly the researchers Mahesh Chandra Mukkamala trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Variants of RMSProp and Adagrad with Logarithmic Regret Bounds (2017) — 279 citations