N. Dhanda

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 26 citations into it
• Representation & Self-Supervised Learning — 7 citations into it

Whom N. Dhanda trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Kaiming He

Papers from N. Dhanda's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet: A large-scale hierarchical image database
3. Learning Multiple Layers of Features from Tiny Images
4. ImageNet classification with deep convolutional neural networks
5. Distilling the Knowledge in a Neural Network (arXiv.org)
6. Gradient-based learning applied to document recognition
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. ImageNet Large Scale Visual Recognition Challenge
9. DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Incremental Object Learning From Contiguous Views (2019) — 44 citations