Showing 1–13 of 13 results
/ Date/ Name
Sep 2, 2024Beyond Parameter Count: Implicit Bias in Soft Mixture of ExpertsNov 18, 2020Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty QuantificationMay 29, 2023Parity CalibrationSep 21, 2021Uncertainty Toolbox: an Open-Source Library for Assessing, Visualizing, and Improving Uncertainty QuantificationJun 23, 2020Neural Dynamical Systems: Balancing Structure and Flexibility in Physical PredictionFeb 12, 2024Beyond the Mud: Datasets and Benchmarks for Computer Vision in Off-Road RacingJan 6, 2020Offline Contextual Bayesian Optimization for Nuclear FusionNov 14, 2023Reading Between the Mud: A Challenging Motorcycle Racer Number DatasetMar 27, 2023Bi-Manual Block Assembly via Sim-to-Real Reinforcement LearningApr 18, 2024Full Shot Predictions for the DIII-D Tokamak via Deep Recurrent NetworksNov 14, 2023MUDD: A New Re-Identification Dataset with Efficient Annotation for Off-Road Racers in Extreme ConditionsMay 20, 2022How Useful are Gradients for OOD Detection Really?May 22, 2024What is Your Data Worth to GPT? LLM-Scale Data Valuation with Influence Functions