LearningCompositionalBehaviors fromDemonstrationand LanguageSolving NewTasks byAdaptingInternet VideoKnowledgeUniversalNeuralFunctionalsStructure fromAction: LearningInteractions forArticulated Object3D StructureDiscoveryWhat Makes Pre-Trained VisualRepresentationsSuccessful forRobustManipulation?EDMP:Ensemble-of-costs-guidedDiffusion forMotionPlanningHRP:HumanAffordancesfor RoboticPre-TrainingvTune:Verifiable Fine-Tuning forLLMs ThroughBackdooringConceptGraphs:Open-Vocabulary 3DScene Graphsfor Perceptionand PlanningTheIngredientsfor RoboticDiffusionTransformersOfflineReinforcementLearning atMultipleFrequenciesVision-OnlyRobotNavigation in aNeuralRadiance WorldPermutationEquivariantNeuralFunctionalsAdaptive DataOptimization:DynamicSampleSelection withScaling LawsText-AwareDiffusionfor PolicyLearningOcto: AnOpen-SourceGeneralistRobot PolicyLearningCompositionalBehaviors fromDemonstrationand LanguageSolving NewTasks byAdaptingInternet VideoKnowledgeUniversalNeuralFunctionalsStructure fromAction: LearningInteractions forArticulated Object3D StructureDiscoveryWhat Makes Pre-Trained VisualRepresentationsSuccessful forRobustManipulation?EDMP:Ensemble-of-costs-guidedDiffusion forMotionPlanningHRP:HumanAffordancesfor RoboticPre-TrainingvTune:Verifiable Fine-Tuning forLLMs ThroughBackdooringConceptGraphs:Open-Vocabulary 3DScene Graphsfor Perceptionand PlanningTheIngredientsfor RoboticDiffusionTransformersOfflineReinforcementLearning atMultipleFrequenciesVision-OnlyRobotNavigation in aNeuralRadiance WorldPermutationEquivariantNeuralFunctionalsAdaptive DataOptimization:DynamicSampleSelection withScaling LawsText-AwareDiffusionfor PolicyLearningOcto: AnOpen-SourceGeneralistRobot Policy

Untitled Bingo - Call List

(Print) Use this randomly generated list as your call list when playing the game. There is no need to say the BINGO column name. Place some kind of mark (like an X, a checkmark, a dot, tally mark, etc) on each cell as you announce it, to keep track. You can also cut out each item, place them in a bag and pull words from the bag.


1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
  1. Learning Compositional Behaviors from Demonstration and Language
  2. Solving New Tasks by Adapting Internet Video Knowledge
  3. Universal Neural Functionals
  4. Structure from Action: Learning Interactions for Articulated Object 3D Structure Discovery
  5. What Makes Pre-Trained Visual Representations Successful for Robust Manipulation?
  6. EDMP: Ensemble-of-costs-guided Diffusion for Motion Planning
  7. HRP: Human Affordances for Robotic Pre-Training
  8. vTune: Verifiable Fine-Tuning for LLMs Through Backdooring
  9. ConceptGraphs: Open-Vocabulary 3D Scene Graphs for Perception and Planning
  10. The Ingredients for Robotic Diffusion Transformers
  11. Offline Reinforcement Learning at Multiple Frequencies
  12. Vision-Only Robot Navigation in a Neural Radiance World
  13. Permutation Equivariant Neural Functionals
  14. Adaptive Data Optimization: Dynamic Sample Selection with Scaling Laws
  15. Text-Aware Diffusion for Policy Learning
  16. Octo: An Open-Source Generalist Robot Policy