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Found 4 papers, 1 papers with code
Data-Driven but Privacy-Conscious: Pedestrian Dataset De-identification via Full-Body Person Synthesis
To highlight the importance of privacy issues and motivate future research, we motivate and introduce the Pedestrian Dataset De-Identification (PDI) task.
AugLy: Data Augmentations for Robustness
We introduce AugLy, a data augmentation library with a focus on adversarial robustness.
ReNeg and Backseat Driver: Learning from Demonstration with Continuous Human Feedback
Our framework learns continuous control from sub-optimal demonstration and evaluative feedback collected before training.
Neural Mesh: Introducing a Notion of Space and Conservation of Energy to Neural Networks
Like in the brain, we only allow neurons to fire in a time step if they contain enough energy, or excitement.
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