Showing 1–20 of 26 results
/ Date/ Name
Jun 12, 2019Task Agnostic Continual Learning via Meta LearningMar 18, 2019Exploiting Hierarchy for Learning and Transfer in KL-regularized RLMar 28, 2019Meta-Learning surrogate models for sequential decision makingOct 13, 2025Catch Your Breath: Adaptive Computation for Self-Paced Sequence ProductionOct 6, 2025Closed-Form Last Layer OptimizationOct 27, 2020Behavior Priors for Efficient Reinforcement LearningMay 23, 2022Data augmentation for efficient learning from parametric expertsJan 9, 2025Accelerated Diffusion Models via Speculative SamplingSep 7, 2020Information Theoretic Meta Learning with Gaussian ProcessesFeb 4, 2025Distributional Diffusion Models with Scoring RulesJun 14, 2023Kalman Filter for Online Classification of Non-Stationary DataMay 10, 2024Deep MMD Gradient Flow without adversarial trainingNov 18, 2020Game Plan: What AI can do for Football, and What Football can do for AIMay 6, 2026On the Wasserstein Gradient Flow Interpretation of Drifting ModelsSep 10, 2020Importance Weighted Policy Learning and AdaptationMay 3, 2019Information asymmetry in KL-regularized RLMay 15, 2019Meta reinforcement learning as task inferenceNov 28, 2018Neural probabilistic motor primitives for humanoid controlNov 6, 2024Non-Stationary Learning of Neural Networks with Automatic Soft Parameter ResetNov 15, 2022NEVIS'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research