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Found 7 papers, 2 papers with code
TRACT: Denoising Diffusion Models with Transitive Closure Time-Distillation
Denoising Diffusion models have demonstrated their proficiency for generative sampling.
Fighting Fire with Fire: Avoiding DNN Shortcuts through Priming
Across applications spanning supervised classification and sequential control, deep learning has been reported to find "shortcut" solutions that fail catastrophically under minor changes in the data distribution.
Fight fire with fire: countering bad shortcuts in imitation learning with good shortcuts
When operating in partially observed settings, it is important for a control policy to fuse information from a history of observations.
Keyframe-Focused Visual Imitation Learning
Imitation learning trains control policies by mimicking pre-recorded expert demonstrations.
Fighting Copycat Agents in Behavioral Cloning from Observation Histories
Imitation learning trains policies to map from input observations to the actions that an expert would choose.
3D Shape Reconstruction from Free-Hand Sketches
Additionally, we propose a sketch standardization module to handle different sketch distortions and styles.
Free-riders in Federated Learning: Attacks and Defenses
Although the incentive model for federated learning has not been fully developed, it is supposed that participants are able to get rewards or the privilege to use the final global model, as a compensation for taking efforts to train the model.
