Yamuna Krishnamurthy

Artificial Intelligence · 2019–2021

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it; #29,365 of 35,345 by trust here, #24,417 by citations
• Optimization & Training — 5 citations into it

Whom Yamuna Krishnamurthy trusts overall

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

1. James Bergstra
2. Randal S. Olson
3. Yoshua Bengio
4. Richard S. Sutton
5. Thomas W. Anthony
6. Noam Chomsky
7. Joaquin Vanschoren
8. Sepp Hochreiter
9. Matthias Feurer
10. David Silver

Who trusts Yamuna Krishnamurthy overall

1. Marc-André Zöller
2. Matthias Feurer
3. Marco F. Huber

Papers from Yamuna Krishnamurthy's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Long Short-Term Memory
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Learning Multiple Layers of Features from Tiny Images
7. Reinforcement Learning: An Introduction
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• AlphaD3M: Machine Learning Pipeline Synthesis (2021) — 93 citations
• Automatic Machine Learning by Pipeline Synthesis using Model-Based Reinforcement Learning and a Grammar (2019) — 30 citations