For a fully up-to-date list, see my Google Scholar page.
For a fully up-to-date list, see my Google Scholar page.
C14
A Metalearned Neural Circuit for Nonparametric Bayesian Inference
Jake C. Snell, Gianluca Bencomo, Thomas L. Griffiths
C7
Lorentzian Distance Learning for Hyperbolic Representations
Marc T. Law, Renjie Liao, Jake C. Snell, Richard S. Zemel
C6
Dimensionality Reduction for Representing the Knowledge of Probabilistic Models
Marc T. Law, Jake C. Snell, Amir-massoud Farahmand, Raquel Urtasun, Richard S. Zemel
C3
Prototypical Networks for Few-shot Learning
Jake C. Snell, Kevin Swersky, Richard Zemel
C2
Stochastic Segmentation Trees for Multiple Ground Truths
Jake C. Snell, Richard S. Zemel
C1
Learning to Generate Images With Perceptual Similarity Metrics
Jake C. Snell, Karl Ridgeway, Renjie Liao, Brett D. Roads, Michael C. Mozer, Richard S. Zemel