Jonathan Cohen
8 papers · 2018–2023 · 6 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Silver
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(20)
🐣
Hot Topic Early Bird
Top co-authors
Research topics
Artificial Intelligence
(6)
Core AI
(5)
Machine Learning
(4)
Deep Learning
(2)
Architectures
(2)
Core Methods
(2)
Learning Paradigms · Machine Learning
(2)
Healthcare & Medicine
(1)
Interdisciplinary
(1)
Bayesian & Probabilistic
(1)
Clinical
(1)
Cognitive Science
(1)
Learning Paradigms · Artificial Intelligence
(1)
Learning Types
(1)
Optimization & Theory
(1)
Keywords
information theory
(1)
fmri analysis
(1)
representation learning
(1)
reinforcement learning
(1)
state abstraction
(1)
few-shot learning
(1)
hierarchical planning
(1)
visual reasoning
(1)
model safety
(1)
multiple instance learning
(1)
cognitive control
(1)
matrix-variate normal
(1)
probabilistic model
(1)
latent variable model
(1)
inductive bia
(1)
controllable generation
(1)
whole slide image
(1)
dialogue system
(1)
external memory
(1)
recurrent network
(1)
Papers
Learning to reason over visual objects
ICLR 2023
NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails
EMNLP 2023
Emergent Symbols through Binding in External Memory
ICLR 2021
Meta-Learning of Structured Task Distributions in Humans and Machines
ICLR 2021
Learning Representations that Support Extrapolation
ICML 2020
People Do Not Just Plan,They Plan to Plan
AAAI 2020
Thyroid Cancer Malignancy Prediction From Whole Slide Cytopathology Images
MLHC 2019
Matrix-normal models for fMRI analysis
AISTATS 2018