Garima Pruthi
Artificial Intelligence · 2020
A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 16 citations into it
- Computer Vision and Pattern Recognition — 8 citations into it
- Natural Language Processing — 7 citations into it
- Optimization & Training — 5 citations into it; #1,990 of 2,601 by trust here, #1,804 by citations
- Safety, Robustness & Interpretability — 5 citations into it
Whom Garima Pruthi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Kaiming He
- David P. Woodruff
- Yann LeCun
- Geoffrey E. Hinton
- Been Kim
- Jia Deng
- Junbo Jake Zhao
- Samuli Laine
- Taku Kudo
Who trusts Garima Pruthi overall
- Karthikeyan K
- Xiaochuang Han
- Andreas Madsen
- Samyadeep Basu
- Julius Adebayo
- Andrew Ilyas
- Mengzhou Xia
- Ekin Akyürek
- Haiyan Zhao
- Yulia Tsvetkov
Papers from Garima Pruthi's perspective
Ordered by how strongly the researchers Garima Pruthi 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
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Estimating Training Data Influence by Tracking Gradient Descent (2020) — 704 citations