Karthik S. Gurumoorthy
Artificial Intelligence · 2017
A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 14 citations into it; #14,126 of 35,345 by trust here, #21,316 by citations
- Optimization & Training — 7 citations into it
- Safety, Robustness & Interpretability — 7 citations into it
- Computational Mechanics — 5 citations into it
- Computer Vision and Pattern Recognition — 5 citations into it
Whom Karthik S. Gurumoorthy trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Chih-Jen Lin
- Been Kim
- Ethan R. Elenberg
- Abhimanyu Das
- Rajiv Khanna
- Oluwasanmi Koyejo
- Daniel D. Lee
- Luca Oneto
- David Kempe
- Pang Wei Koh
Who trusts Karthik S. Gurumoorthy overall
- Nadia Burkart
- Amit Dhurandhar
- A. Yeung
- Marco F. Huber
- Shalmali Joshi
- Raha Moraffah
- Francesco Bodria
- Ronny Luss
- Joseph Jay Williams
- Vikas Hassija
Papers from Karthik S. Gurumoorthy's perspective
Ordered by how strongly the researchers Karthik S. Gurumoorthy 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Efficient Data Representation by Selecting Prototypes with Importance Weights (2017) — 123 citations
- ProtoDash: Fast Interpretable Prototype Selection (2017) — 22 citations