Chandan Kumar

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it

Whom Chandan Kumar trusts overall

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

1. Chih-Jen Lin
2. Yoshua Bengio
3. Jaka Demsar
4. Aixia Guo

Papers from Chandan Kumar's perspective

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

1. Learning Deep Architectures for AI
2. Greedy Layer-Wise Training of Deep Networks
3. LIBSVM: A library for support vector machines
4. ImageNet classification with deep convolutional neural networks
5. Gradient-based learning applied to document recognition
6. Efficient Learning of Sparse Representations with an Energy-Based Model
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. Attention is All you Need (Neural Information Processing Systems)
9. Long Short-Term Memory
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Transfer Learning for Molecular Cancer Classification Using Deep Neural Networks (2019) — 111 citations