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Found 4 papers, 3 papers with code
Group Distributionally Robust Dataset Distillation with Risk Minimization
However, targeting the training dataset must be thought of as auxiliary in the same sense that the training set is an approximate substitute for the population distribution, and the latter is the data of interest.
Self-Supervised Bird's Eye View Motion Prediction with Cross-Modality Signals
Learning the dense bird's eye view (BEV) motion flow in a self-supervised manner is an emerging research for robotics and autonomous driving.
Chain of Natural Language Inference for Reducing Large Language Model Ungrounded Hallucinations
Our framework uses Chain of Natural Language Inference (CoNLI) for hallucination detection and hallucination reduction via post-editing.
Directional Primitives for Uncertainty-Aware Motion Estimation in Urban Environments
We can use driving data collected over a long period of time to extract rich information about how vehicles behave in different areas of the roads.
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