Ritika Lohiya

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 66 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 45 citations into it
• Computer Networks and Communications — 42 citations into it
• Computer Vision and Pattern Recognition — 20 citations into it
• Signal Processing — 20 citations into it
• Information Systems — 7 citations into it

Whom Ritika Lohiya trusts overall

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

1. Geoffrey E. Hinton
2. Leo Breiman
3. Shan Suthaharan
4. Alex Krizhevsky
5. Yoshua Bengio
6. Ilya Sutskever
7. Jia Deng
8. Yanyan Song
9. Sumaiya Thaseen Ikram
10. Yann LeCun

Papers from Ritika Lohiya's perspective

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

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

Their papers

• A Review on Machine Learning and Deep Learning Perspectives of IDS for IoT: Recent Updates, Security Issues, and Challenges (2020) — 314 citations