Sundararajan Sellamanickam
Artificial Intelligence · 2011–2013
A researcher in the Science corpus: 2 papers; trusts 20 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 16 citations into it; #24,707 of 35,345 by trust here, #34,213 by citations
- Optimization & Training — 12 citations into it
- Computer Vision and Pattern Recognition — 7 citations into it
- ML Systems & Hardware — 5 citations into it
Whom Sundararajan Sellamanickam trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Andrew McCallum
- L. Eon Bottou
- Hoifung Poon
- Qing Lu
- Fuchun Peng
- John D. Lafferty
- Tianbao Yang
- David D. Jensen
- Valter Crescenzi
- Ion Muslea
Who trusts Sundararajan Sellamanickam overall
Papers from Sundararajan Sellamanickam's perspective
Ordered by how strongly the researchers Sundararajan Sellamanickam trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)