Sebastian Lee
Artificial Intelligence · 2021
A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 40 citations into it
- Computer Vision and Pattern Recognition — 15 citations into it
- Statistical and Nonlinear Physics — 14 citations into it
- Optimization & Training — 13 citations into it
- Scaling & Learning Theory — 12 citations into it
- Statistical Learning Theory — 9 citations into it
- Model Architectures — 7 citations into it
- Representation & Self-Supervised Learning — 7 citations into it
Whom Sebastian Lee trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Lénaïc Chizat
- Michael Biehl
- Peter Riegler
- Sara A. Solla
- Sebastian Farquhar
- Andrew Kyle Lampinen
- Geoffrey E. Hinton
- Han Xiao
- Lenka Zdeborov'a
- Vinay Venkatesh Ramasesh
Who trusts Sebastian Lee overall
Papers from Sebastian Lee's perspective
Ordered by how strongly the researchers Sebastian Lee 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
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Continual Learning in the Teacher-Student Setup: Impact of Task Similarity (2021) — 103 citations