Ragav Venkatesan

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 23 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it
• Computer Vision and Pattern Recognition — 13 citations into it
• Meta & Continual Learning — 9 citations into it; #597 of 1,041 by trust here, #827 by citations
• Representation & Self-Supervised Learning — 6 citations into it

Whom Ragav Venkatesan trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. R. M. French
4. Yoshua Bengio
5. Thomas Mensink
6. Ian J. Goodfellow
7. Hugo Larochelle
8. Yann LeCun
9. Zhizhong Li
10. Max Welling

Who trusts Ragav Venkatesan overall

1. Gido M. van de Ven
2. Jiangpeng He
3. Andreas S. Tolias
4. Feng Zhu
5. Timothée Lesort
6. Yaoyao Liu
7. Yue Wu
8. Runyu Mao
9. Hugo Caselles-Dupré
10. Anan Liu

Papers from Ragav Venkatesan's perspective

Ordered by how strongly the researchers Ragav Venkatesan 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Learning Multiple Layers of Features from Tiny Images
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• A Strategy for an Uncompromising Incremental Learner (2017) — 42 citations