Jake Snell
11 papers · 2017–2024 · 3 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π£ Hot Topic Early Bird π Cross-Pollinator (15) π Academic Marathon (7) π Interdisciplinary Bridge
π
Conference Polyglot
(3)
πΊοΈ
Taxonomy Completionist
(17)
π
Trend Setter
π
Century Club
(11)
π
Conference Pioneer
Conferences
ICLR (6)
NIPS (4)
ICML (1)
Top co-authors
Keywords
metric learning
(2)
representation learning
(2)
few-shot learning
(1)
algorithmic fairness
(1)
risk management
(1)
in-context learning
(1)
compositional generalization
(1)
distance computation
(1)
latent representation
(1)
disentangled representation
(1)
variational autoencoder
(1)
metric space
(1)
visual prompt
(1)
cross-attention module
(1)
prototypical network
(1)
finite-sample guarantee
(1)
hierarchical datum
(1)
loss distribution
(1)
analogical reasoning
(1)
hyperbolic geometry
(1)
Papers
Prompt Risk Control: A Rigorous Framework for Responsible Deployment of Large Language Models
ICLR 2024
Implicit Maximum a Posteriori Filtering via Adaptive Optimization
ICLR 2024
Quantile Risk Control: A Flexible Framework for Bounding the Probability of High-Loss Predictions
ICLR 2023
Distribution-Free Statistical Dispersion Control for Societal Applications
NIPS 2023
Im-Promptu: In-Context Composition from Image Prompts
NIPS 2023
Bayesian Few-Shot Classification with One-vs-Each PΓ³lya-Gamma Augmented Gaussian Processes
ICLR 2021
Lorentzian Distance Learning for Hyperbolic Representations
ICML 2019
Dimensionality Reduction for Representing the Knowledge of Probabilistic Models
ICLR 2019
Meta-Learning for Semi-Supervised Few-Shot Classification
ICLR 2018
Learning Latent Subspaces in Variational Autoencoders
NIPS 2018
Prototypical Networks for Few-shot Learning
NIPS 2017