Muskan Goyal

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 25 citations into it
• Artificial Intelligence — 22 citations into it; #33,116 of 35,345 by trust here, #27,551 by citations
• Model Architectures — 10 citations into it
• Optimization & Training — 6 citations into it

Whom Muskan Goyal trusts overall

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

1. Diederik P. Kingma
2. Yann LeCun
3. Karen Simonyan
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Jimmy Ba
7. Yoshua Bengio
8. Kaiming He
9. François Chollet
10. Quoc V. Le

Who trusts Muskan Goyal overall

1. Fatemeh Haghighat

Papers from Muskan Goyal's perspective

Ordered by how strongly the researchers Muskan Goyal 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. Going deeper with convolutions
5. Gradient-based learning applied to document recognition
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. GENERATIVE ADVERSARIAL NETS

Their papers

• CovidGAN: Data Augmentation Using Auxiliary Classifier GAN for Improved Covid-19 Detection (2020) — 648 citations
• An optimized dense convolutional neural network model for disease recognition and classification in corn leaf (2020) — 312 citations