Shivam Tripathi

Statistical Learning Theory · 2006

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Statistical Learning Theory — 5 citations into it

Whom Shivam Tripathi trusts overall

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

1. Vladimir Naumovich Vapnik
2. Leo Breiman
3. N. Null
4. Thomas M. Cover

Who trusts Shivam Tripathi overall

1. Chaopeng Shen
2. Ajay Kalra
3. P. Mujumdar
4. Subimal Ghosh
5. D. Raje
6. Shandar Ahmad

Papers from Shivam Tripathi's perspective

Ordered by how strongly the researchers Shivam Tripathi 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Downscaling of precipitation for climate change scenarios: A support vector machine approach (2006) — 599 citations