Jonathan Schwarz
8 papers · 2018–2022 · 4 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (15) 🐣 Hot Topic Early Bird 🔥 Unstoppable · Bronze
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Trend Setter
Venues
Top co-authors
Research topics
Deep Learning
(5)
Machine Learning
(5)
Artificial Intelligence
(4)
Reinforcement Learning
(4)
Learning Types · Machine Learning
(3)
Methods
(3)
Applications
(2)
Architectures
(2)
Bayesian & Probabilistic
(2)
Learning Paradigms
(2)
Learning Types · Deep Learning
(2)
Optimization & Theory
(2)
Techniques
(2)
Application Areas
(1)
Core AI
(1)
Keywords
catastrophic forgetting
(3)
continual learning
(3)
transfer learning
(2)
attention mechanism
(2)
probabilistic modeling
(1)
variational inference
(1)
bayesian inference
(1)
information bottleneck
(1)
function approximation
(1)
knowledge distillation
(1)
knowledge base
(1)
hierarchical reinforcement learning
(1)
gaussian process
(1)
gradient descent
(1)
kullback-leibler divergence
(1)
model pruning
(1)
kl regularization
(1)
off-policy learning
(1)
conditional distribution
(1)
behavioral cloning
(1)
Papers
Behavior Priors for Efficient Reinforcement Learning
JMLR 2022
Powerpropagation: A sparsity inducing weight reparameterisation
NeurIPS 2021
Functional Regularisation for Continual Learning with Gaussian Processes
ICLR 2020
Multiplicative Interactions and Where to Find Them
ICLR 2020
Attentive Neural Processes
ICLR 2019
Experience Replay for Continual Learning
NeurIPS 2019
Information asymmetry in KL-regularized RL
ICLR 2019
Progress & Compress: A scalable framework for continual learning
ICML 2018