Shreekant Gayaka

2015

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Shreekant Gayaka trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio

Papers from Shreekant Gayaka's perspective

Ordered by how strongly the researchers Shreekant Gayaka trusts endorse each paper. Same corpus, a different order for every researcher.

1. Dropout: a simple way to prevent neural networks from overfitting
2. A Fast Learning Algorithm for Deep Belief Nets
3. Learning Deep Architectures for AI
4. ImageNet classification with deep convolutional neural networks
5. Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories
6. Improving neural networks by preventing co-adaptation of feature detectors
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. Gradient-based learning applied to document recognition
9. Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Learning Sparse Feature Representations Using Probabilistic Quadtrees and Deep Belief Nets (2015) — 83 citations