Ritwik Sinha
Artificial Intelligence · 2019–2021
A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 29 citations into it
- Statistics and Probability — 26 citations into it
- Statistical Learning Theory — 10 citations into it
- Computational Theory and Mathematics — 7 citations into it
Whom Ritwik Sinha trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Christian Borgelt
- Leo Breiman
- Jerome H. Friedman
- James Bergstra
- Alexandre B. Tsybakov
- William W. Cohen
- James M. Robins
- Geoffrey E. Hinton
- Trevor J. Hastie
- Steven R. Howard
Papers from Ritwik Sinha's perspective
Ordered by how strongly the researchers Ritwik Sinha 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)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- Learning representations by back-propagating errors
- ImageNet: A large-scale hierarchical image database
- Random Forests