Lilly Kumari

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 48 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 45 citations into it
• Computer Vision and Pattern Recognition — 30 citations into it
• Meta & Continual Learning — 27 citations into it
• Representation & Self-Supervised Learning — 16 citations into it
• Reinforcement Learning — 5 citations into it

Whom Lilly Kumari trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Geoffrey E. Hinton
4. Arslan Chaudhry
5. Yann LeCun
6. Yoshua Bengio
7. Marc'Aurelio Ranzato
8. Ian J. Goodfellow
9. Diederik P. Kingma
10. Rahaf Aljundi

Who trusts Lilly Kumari overall

1. Dipam Goswami

Papers from Lilly Kumari's perspective

Ordered by how strongly the researchers Lilly Kumari 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. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
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

• Retrospective Adversarial Replay for Continual Learning (2022) — 54 citations