Sandeep Singh Sengar

Computer Vision and Pattern Recognition · 2024

A researcher in the Science corpus: 1 paper; trusts 166 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 57 citations into it
• Artificial Intelligence — 54 citations into it
• Generative Models — 24 citations into it
• Natural Language Processing — 15 citations into it
• Evaluation & Benchmarks — 11 citations into it
• Large Language Models — 11 citations into it
• Representation & Self-Supervised Learning — 10 citations into it
• Signal Processing — 7 citations into it

Whom Sandeep Singh Sengar trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Alex Krizhevsky
5. Ilya Sutskever
6. Kaiming He
7. Yann LeCun
8. Alec Radford
9. Max Welling
10. Laurent Dinh

Papers from Sandeep Singh Sengar's perspective

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

Their papers

• Generative artificial intelligence: a systematic review and applications (2024) — 392 citations