Nishchal K. Verma

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 Nishchal K. Verma 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 Nishchal K. Verma's perspective

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

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

Their papers

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