Jaya Kalla

Artificial Intelligence · 2023

A researcher in the Science corpus: 1 paper; trusts 221 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 33 citations into it; #24,166 of 35,345 by trust here, #34,213 by citations
• Computer Vision and Pattern Recognition — 32 citations into it; #14,938 of 21,575 by trust here, #21,103 by citations
• Meta & Continual Learning — 24 citations into it; #773 of 1,041 by trust here, #1,032 by citations
• Representation & Self-Supervised Learning — 13 citations into it
• Radiology, Nuclear Medicine and Imaging — 7 citations into it

Whom Jaya Kalla trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Eden Belouadah
4. Kaiming He
5. Ilya Sutskever
6. Yoshua Bengio
7. Diederik P. Kingma
8. Yann LeCun
9. Ross B. Girshick
10. Karen Simonyan

Who trusts Jaya Kalla overall

1. Liyuan Wang
2. Xingxing Zhang
3. Hang Su

Papers from Jaya Kalla's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Attention is All you Need (Neural Information Processing Systems)
6. Learning Multiple Layers of Features from Tiny Images
7. Gradient-based learning applied to document recognition
8. Long Short-Term Memory
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• S3C: Self-Supervised Stochastic Classifiers for Few-Shot Class-Incremental Learning (2023) — 61 citations