Sweta Karlekar

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 36 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it
• Natural Language Processing — 5 citations into it

Whom Sweta Karlekar trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Ilya Sutskever
4. Matthew D. Zeiler
5. Ross B. Girshick
6. Yoshua Bengio
7. Diederik P. Kingma
8. Yann LeCun
9. Nitish Srivastava
10. Rob Fergus

Papers from Sweta Karlekar's perspective

Ordered by how strongly the researchers Sweta Karlekar 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. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Detecting Linguistic Characteristics of Alzheimer’s Dementia by Interpreting Neural Models (2018) — 120 citations