Gouranga Charan

Artificial Intelligence · 2019–2022

A researcher in the Science corpus: 2 papers; trusts 71 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 27 citations into it
• Computer Vision and Pattern Recognition — 27 citations into it
• Representation & Self-Supervised Learning — 11 citations into it
• Efficiency & Compression — 10 citations into it
• Meta & Continual Learning — 9 citations into it
• Model Architectures — 5 citations into it

Whom Gouranga Charan trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Karen Simonyan
4. Geoffrey E. Hinton
5. Yoshua Bengio
6. Marc'Aurelio Ranzato
7. Andrew Zisserman
8. Yann LeCun
9. Diederik P. Kingma
10. Arslan Chaudhry

Papers from Gouranga Charan's perspective

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

Their papers

• Single-Net Continual Learning with Progressive Segmented Training (2019) — 13 citations
• DeepSense 6G: A Large-Scale Real-World Multi-Modal Sensing and Communication Dataset (2022) — 330 citations