Deepak Baby

Signal Processing · 2019

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Signal Processing — 14 citations into it; #4,946 of 7,572 by trust here, #7,112 by citations
• Generative Models — 11 citations into it
• Speech & Audio — 9 citations into it
• Artificial Intelligence — 8 citations into it
• Computational Mechanics — 6 citations into it; #6,662 of 10,001 by trust here, #9,276 by citations

Whom Deepak Baby trusts overall

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

1. Diederik P. Kingma
2. Christophe Veaux
3. Jimmy Ba
4. Cees H. Taal
5. Cassia Valentini-Botinhao
6. Junichi Yamagishi
7. Geoffrey E. Hinton
8. Yoshua Bengio
9. Individualized Treat
10. Alex Krizhevsky

Who trusts Deepak Baby overall

1. Szu-Wei Fu
2. Chien-Feng Liao
3. Yu Tsao
4. Alexandre D'efossez

Papers from Deepak Baby's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Long Short-Term Memory
5. GENERATIVE ADVERSARIAL NETS
6. Attention is All you Need (Neural Information Processing Systems)
7. Gradient-based learning applied to document recognition
8. ImageNet: A large-scale hierarchical image database
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Sergan: Speech Enhancement Using Relativistic Generative Adversarial Networks with Gradient Penalty (2019) — 121 citations