Snell, Jake

1. Prototypical Networks for Few-shot Learning
   2017/03/15 by Jake Snell, Kevin Swersky, Snell, Jake +3 · 502 citations
   Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
2. Meta-Learning for Semi-Supervised Few-Shot Classification
   2018/03/02 by Mengye Ren, Eleni Triantafillou, Ren, Mengye +13 · 51 citations
   Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Multimodal Machine Learning Applications
3. Learning to Generate Images with Perceptual Similarity Metrics
   2015/11/19 by Snell, Jake, Ridgeway, Karl, Liao, Renjie +3 · 4 citations
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
4. Learning Latent Subspaces in Variational Autoencoders
   2018/12/14 by Jack Klys, Klys, Jack, Jake Snell +3 · 9 citations
   Computer Science · Social Sciences · #Computational and Text Analysis Methods #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Face recognition and analysis #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML)
5. Bayesian Few-Shot Classification with One-vs-Each P 'olya-Gamma\n Augmented Gaussian Processes
   2020/07/20 by Jake Snell, Snell, Jake, Richard S. Zemel +1 · 3 citations
   Computer Science · #Gaussian Processes and Bayesian Inference #Domain Adaptation and Few-Shot Learning #Machine Learning and Data Classification