Nick Jin Sean Lim
Computer Vision and Pattern Recognition · 2022
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 14 citations into it
Whom Nick Jin Sean Lim trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Nick Jin Sean Lim's perspective
Ordered by how strongly the researchers Nick Jin Sean Lim 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
- Matching Networks for One Shot Learning
- Learning Multiple Layers of Features from Tiny Images
- Gradient-based learning applied to document recognition
- 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)
- ImageNet Large Scale Visual Recognition Challenge
- Learning without Forgetting
Their papers
- Repeated Augmented Rehearsal: A Simple but Strong Baseline for Online Continual Learning (2022) — 56 citations