Pradeep Shenoy

Computer Vision and Pattern Recognition · with Iyer · 2021

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 21 citations into it
• Representation & Self-Supervised Learning — 9 citations into it

Whom Pradeep Shenoy trusts overall

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

1. Alex Krizhevsky

Papers from Pradeep Shenoy's perspective

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

1. Learning Multiple Layers of Features from Tiny Images
2. Efficient Lifelong Learning with A-GEM
3. Efficient Lifelong Learning with A-GEM
4. Learning to Learn without Forgetting By Maximizing Transfer and Minimizing Interference
5. ImageNet classification with deep convolutional neural networks
6. Supervised Contrastive Learning
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. On coresets for k-means and k-median clustering
9. Tiny ImageNet Visual Recognition Challenge
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• GCR: Gradient Coreset based Replay Buffer Selection for Continual Learning (2021) — 183 citations