Jonathan Binas

6 papers · 2018–2022 · 3 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (12) 🔥 Unstoppable · Bronze

Venues

ICLR (3) ICML (2) NeurIPS (1)

Top co-authors

Yoshua Bengio (4) Anirudh Goyal (3) Nan Rosemary Ke (2) Alex Lamb (2) Michael Mozer (2) Sergey Levine (1) David Krueger (1) Kartikeya Badola (1) Simon Ramstedt (1) Charles Blundell (1)

Research topics

Artificial Intelligence (4) Core AI (4) Machine Learning (3) Deep Learning (2) Reinforcement Learning (2) Application Areas (2) Architectures (2) Methods (2) Optimization & Theory (2) Core Methods (1) Techniques (1)

Keywords

reinforcement learning (2) 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) continuous control (1) off-policy learning (1) pairwise interaction (1) recurrent neural network (1) soft actor-critic (1) credit assignment (1) backpropagation through time (1) distributional shift (1) hidden representation (1) policy architecture (1)

Papers

Coordination Among Neural Modules Through a Shared Global Workspace ICLR 2022 Out-of-Distribution Generalization via Risk Extrapolation (REx) ICML 2021 Reinforcement Learning with Random Delays ICLR 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 NeurIPS 2018