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Machine LearningControl-Aware Prediction Objectives for Autonomous Driving
Machine LearningMulti-Frame Self-Supervised Depth with Transformers
Machine LearningProvable Guarantees for Self-Supervised Deep Learning with Spectral Contrastive Loss
Machine LearningFull Surround Monodepth from Multiple Cameras
Machine LearningLearning Optical Flow, Depth, and Scene Flow without Real-World Labels
Machine LearningDiscovering Objects that Can Move
Machine LearningSelf-Supervised Camera Self-Calibration from Video
Machine LearningDynamics-Aware Comparison of Learned Reward Functions
Machine LearningSelf-supervised Learning is More Robust to Dataset Imbalance
Energy and MaterialsMachine learning–accelerated design and synthesis of polyelemental heterostructures
Machine LearningLocTex: Learning Data-Efficient Visual Representations from Localized Textual Supervision
Machine LearningLearning to Track with Object Permanence
