Ramya Raghavendra
Computer Vision and Pattern Recognition · 2008–2021
A researcher in the Science corpus: 5 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 69 citations into it
- Electrical and Electronic Engineering — 31 citations into it
- Hardware and Architecture — 17 citations into it
Whom Ramya Raghavendra trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Margaret Martonosi
- James Mc Donald
- Enrique V. Carrera
- Yoshua Bengio
- Alex Krizhevsky
- Yann LeCun
- Diederik P. Kingma
- Jeffrey S. Chase
- Kaiming He
Who trusts Ramya Raghavendra overall
Papers from Ramya Raghavendra's perspective
Ordered by how strongly the researchers Ramya Raghavendra trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Interpretability of deep learning models: A survey of results (2017) — 469 citations
- A case for adapting channel width in wireless networks (2008) — 315 citations
- Sustainable AI: Environmental Implications, Challenges and Opportunities (2021) — 662 citations
- One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques (2019) — 478 citations
- No "power" struggles: coordinated multi-level power management for the data center (2008) — 738 citations