Jaya Krishna Mandivarapu

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 3 papers; trusts 141 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 52 citations into it
• Computer Vision and Pattern Recognition — 36 citations into it
• Meta & Continual Learning — 26 citations into it
• Representation & Self-Supervised Learning — 20 citations into it
• Optimization & Training — 14 citations into it
• Cognitive Neuroscience — 10 citations into it
• Electrical and Electronic Engineering — 8 citations into it
• Reinforcement Learning — 7 citations into it

Whom Jaya Krishna Mandivarapu trusts overall

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

1. Alex Krizhevsky
2. Yann LeCun
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Volodymyr Mnih
6. Kaiming He
7. Diederik P. Kingma
8. Alex Graves
9. L. Eon Bottou
10. Carl Doersch

Who trusts Jaya Krishna Mandivarapu overall

1. K. J. Joseph

Papers from Jaya Krishna Mandivarapu's perspective

Ordered by how strongly the researchers Jaya Krishna Mandivarapu 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Continual Learning with Deep Artificial Neurons (2020) — 9 citations
• A Scalable Approach to Multi-Context Continual Learning via Lifelong Skill Encoding (2018)
• Self-Net: Lifelong Learning via Continual Self-Modeling (2018) — 18 citations