Sargur N. Srihari
Computer Vision and Pattern Recognition · 1994–2016
A researcher in the Science corpus: 5 papers; trusts 5 researchers and is trusted by 229 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 14 citations into it; #6,916 of 21,575 by trust here, #8,296 by citations
- Natural Language Processing — 13 citations into it
- Model Architectures — 9 citations into it
Whom Sargur N. Srihari trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- M. Swain
- Yossi Rubner
- Geoffrey E. Hinton
- Halbert White
- John Scott Bridle
- Radford M. Neal
- Steven J. Nowlan
- Dana H. Ballard
- Yoshua Bengio
Who trusts Sargur N. Srihari overall
- Heiga Zen
- Chenpeng Du
- Alex Graves
- Yoshua Bengio
- Sergey Levine
- Ruslan Salakhutdinov
- Mike Schuster
- George Papamakarios
- M. A. Carreira-Perpiñán
- Iain Murray
Papers from Sargur N. Srihari's perspective
Ordered by how strongly the researchers Sargur N. Srihari 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)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- On-Line and Off-Line Handwriting Recognition: A Comprehensive Survey (2000) — 2,921 citations
- On measuring the distance between histograms (2002) — 441 citations
- Sequential Labeling with Online Deep Learning: Exploring Model Initialization (2016) — 5 citations
- Probabilistic Graphical Models (2014) — 609 citations
- Mixture Density Networks (1994)