Sai Bhargav Yalamanchi

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 18 citations into it
• Reinforcement Learning — 14 citations into it

Whom Sai Bhargav Yalamanchi trusts overall

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

1. Ilya Sutskever
2. Pieter Abbeel
3. Chelsea Finn
4. Geoffrey E. Hinton

Papers from Sai Bhargav Yalamanchi's perspective

Ordered by how strongly the researchers Sai Bhargav Yalamanchi 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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
4. Asynchronous Methods for Deep Reinforcement Learning
5. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Concurrent Meta Reinforcement Learning (2019) — 18 citations