Jonathan Binas
6 papers · 2018–2022 · 3 conferences · across top CS/AI conferences
Achievements
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🌍
Conference Polyglot
(3)
🌉
Interdisciplinary Bridge
🧭
Keyword Pioneer
🐝
Cross-Pollinator
(15)
🔥
Unstoppable
(5)
Conferences
ICLR (3)
ICML (2)
NIPS (1)
Top co-authors
Keywords
causal inference
(1)
representation learning
(1)
robust optimization
(1)
domain generalization
(1)
temporal sequence
(1)
attention mechanism
(1)
adversarial training
(1)
out-of-distribution generalization
(1)
covariate shift
(1)
recurrent neural network
(1)
credit assignment
(1)
distributional shift
(1)
hidden representation
(1)
long-term dependency
(1)
invariant risk minimization
(1)
risk extrapolation
(1)
back-propagation through time
(1)
Papers
Coordination Among Neural Modules Through a Shared Global Workspace
ICLR 2022
Reinforcement Learning with Random Delays
ICLR 2021
Out-of-Distribution Generalization via Risk Extrapolation (REx)
ICML 2021
Reinforcement Learning with Competitive Ensembles of Information-Constrained Primitives
ICLR 2020
State-Reification Networks: Improving Generalization by Modeling the Distribution of Hidden Representations
ICML 2019
Sparse Attentive Backtracking: Temporal Credit Assignment Through Reminding
NIPS 2018