Showing 1–20 of 25 results
/ Date/ Name
Mar 24, 2021Discriminator Augmented Model-Based Reinforcement LearningDec 7, 2022Unsupervised language models for disease variant predictionFeb 27, 2023Permutation Equivariant Neural FunctionalsJan 18, 2023NeRF in the Palm of Your Hand: Corrective Augmentation for Robotics via Novel-View SynthesisMar 10, 2022Policy Architectures for Compositional Generalization in ControlJun 7, 2019Watch, Try, Learn: Meta-Learning from Demonstrations and RewardSep 1, 2018Cost Functions for Robot Motion StyleFeb 7, 2024Universal Neural FunctionalsNov 15, 2022A Project on Cyclic Ordering of Some Families of GraphsJul 6, 2020Meta-Learning Symmetries by ReparameterizationMar 18, 2022Do Deep Networks Transfer Invariances Across Classes?Feb 5, 2018Expressive Robot Motion TimingMay 22, 2023Neural Functional TransformersOct 25, 2022Multi-Domain Long-Tailed Learning by Augmenting Disentangled RepresentationsOct 15, 2024Adaptive Data Optimization: Dynamic Sample Selection with Scaling LawsOct 2, 2025Gemini Robotics 1.5: Pushing the Frontier of Generalist Robots with Advanced Embodied Reasoning, Thinking, and Motion TransferMay 24, 2023Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human FeedbackDec 6, 2021Noether Networks: Meta-Learning Useful Conserved QuantitiesJul 7, 2025Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic CapabilitiesJan 18, 2024AutoFT: Learning an Objective for Robust Fine-Tuning