Jonathan Gordon
12 papers · 2016–2021 · 8 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Academic Marathon (5) π Conference Polyglot (8) π Renaissance Researcher (7) πΊοΈ Taxonomy Completionist (28)
πΊοΈ
Taxonomy Completionist
(28)
π§
Keyword Pioneer
π
Triple Crown
π
Grand Slam
β‘
Prolific Year
(6)
π
Conference Pioneer
π
Century Club
(12)
β
The Questioner
(2)
Conferences
ICLR (3)
NIPS (3)
AAAI (1)
ACL (1)
AISTATS (1)
EMNLP (1)
ICML (1)
IJCNLP (1)
Top co-authors
Research topics
Keywords
few-shot learning
(2)
commonsense reasoning
(2)
adjective projection
(2)
word embedding
(2)
transfer learning
(1)
bayesian inference
(1)
text classification
(1)
uncertainty quantification
(1)
batch normalization
(1)
educational resources
(1)
maximum likelihood
(1)
sparse approximation
(1)
high-dimensional regression
(1)
machine learning
(1)
bayesian active learning
(1)
batch active learning
(1)
knowledge graph
(1)
random projection
(1)
convolutional neural network
(1)
bayesian prior
(1)
Papers
Predictive Complexity Priors
AISTATS 2021
Meta-Learning Stationary Stochastic Process Prediction with Convolutional Neural Processes
NIPS 2020
TaskNorm: Rethinking Batch Normalization for Meta-Learning
ICML 2020
Permutation Equivariant Models for Compositional Generalization in Language
ICLR 2020
Convolutional Conditional Neural Processes
ICLR 2020
Do Nuclear Submarines Have Nuclear Captains? A Challenge Dataset for Commonsense Reasoning over Adjectives and Objects
IJCNLP 2019
Bayesian Batch Active Learning as Sparse Subset Approximation
NIPS 2019
Linking Educational Resources on Data Science
AAAI 2019
Do Nuclear Submarines Have Nuclear Captains? A Challenge Dataset for Commonsense Reasoning over Adjectives and Objects
EMNLP 2019
Meta-Learning Probabilistic Inference for Prediction
ICLR 2019
Fast and Flexible Multi-Task Classification using Conditional Neural Adaptive Processes
NIPS 2019
Modeling Concept Dependencies in a Scientific Corpus
ACL 2016