Aditya Ganeshan

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 21 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it; #28,762 of 35,345 by trust here, #34,213 by citations
• Signal Processing — 11 citations into it; #6,102 of 7,572 by trust here, #7,324 by citations
• Computer Vision and Pattern Recognition — 7 citations into it

Whom Aditya Ganeshan trusts overall

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

1. Fabian-Robert Stöter
2. Naoya Takahashi
3. Yi Luo
4. Antoine Liutkus
5. Jen-Yu Liu
6. Daniel Stoller
7. Rajeev Ranjan
8. Francesc Lluís
9. Pritish Chandna
10. Michael Ruogu Zhang

Who trusts Aditya Ganeshan overall

1. Naoya Takahashi
2. Alexandre D'efossez

Papers from Aditya Ganeshan's perspective

Ordered by how strongly the researchers Aditya Ganeshan 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. Learning Multiple Layers of Features from Tiny Images
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
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. Going deeper with convolutions

Their papers

• Meta-Learning Extractors for Music Source Separation (2020) — 68 citations