Rishi Veerapaneni

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 25 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 37 citations into it
• Artificial Intelligence — 36 citations into it
• Reinforcement Learning — 18 citations into it
• Generative Models — 8 citations into it
• Control and Systems Engineering — 6 citations into it

Whom Rishi Veerapaneni trusts overall

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

1. Geoffrey E. Hinton
2. Sergey Levine
3. Chelsea Finn
4. Diederik P. Kingma
5. Yoshua Bengio
6. Alex Krizhevsky
7. J. Urgen Schmidhuber
8. Kaiming He
9. Yann LeCun
10. Ilya Sutskever

Who trusts Rishi Veerapaneni overall

1. Anand Gopalakrishnan
2. Jiafei Duan
3. Qian Huang
4. Daniel M. Bear
5. Thomas Kipf
6. Sjoerd van Steenkiste
7. Gary F. Marcus

Papers from Rishi Veerapaneni's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
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. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Entity Abstraction in Visual Model-Based Reinforcement Learning (2019) — 208 citations