Ritesh Noothigattu

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it
• Reinforcement Learning — 8 citations into it

Whom Ritesh Noothigattu trusts overall

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

1. Dimitri P. Bertsekas
2. Pieter Abbeel
3. Shipra Agrawal
4. C. Allen
5. Andrew Y. Ng
6. Abhinav Verma
7. Wendell Wallach
8. Navin Goyal
9. Mohit Sewak

Who trusts Ritesh Noothigattu overall

1. Yashesh D. Dhebar

Papers from Ritesh Noothigattu's perspective

Ordered by how strongly the researchers Ritesh Noothigattu 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. 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Going deeper with convolutions

Their papers

• Interpretable Multi-Objective Reinforcement Learning through Policy Orchestration (2018) — 25 citations
• WeBuildAI (2019) — 154 citations