Showing 1–20 of 102 results
/ Date/ Name
Apr 24, 2020The Variational Bandwidth Bottleneck: Stochastic Evaluation on an Information BudgetNov 30, 2020Inductive Biases for Deep Learning of Higher-Level CognitionNov 15, 2017Z-Forcing: Training Stochastic Recurrent NetworksMar 2, 2021Neural Production Systems: Learning Rule-Governed Visual DynamicsJan 30, 2019InfoBot: Transfer and Exploration via the Information BottleneckJun 29, 2020Object Files and Schemata: Factorizing Declarative and Procedural Knowledge in Dynamical SystemsSep 24, 2019Recurrent Independent MechanismsJul 29, 2023A Theory for Emergence of Complex Skills in Language ModelsFeb 17, 2022Retrieval-Augmented Reinforcement LearningOct 8, 2020CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer LearningMay 18, 2021Fast and Slow Learning of Recurrent Independent MechanismsJul 22, 2022Discrete Key-Value BottleneckMar 1, 2021Coordination Among Neural Modules Through a Shared Global WorkspaceFeb 16, 2019Leveraging Communication Topologies Between Learning Agents in Deep Reinforcement LearningMar 10, 2020Diversity inducing Information Bottleneck in Model EnsemblesOct 29, 2019Small-GAN: Speeding Up GAN Training Using Core-setsJun 3, 2023Cycle Consistency Driven Object DiscoveryJan 3, 2024Can AI Be as Creative as Humans?Oct 26, 2023Skill-Mix: a Flexible and Expandable Family of Evaluations for AI modelsNov 7, 2017Sparse Attentive Backtracking: Long-Range Credit Assignment in Recurrent Networks