PRISM: Diversifying Dataset Distillation by Decoupling Architectural Priors
We introduce PRISM, a framework that disentangles architectural priors for dataset distillation, outperforming single-teacher setups.
DFKI
RPTU Kaiserslautern–Landau
Brian Bernhard Moser, Shalini Sarode, Federico Raue, Krzysztof Adamkiewicz, Arundhati Shanbhag, Joachim Folz, Tobias Christian Nauen, Andreas Dengel
We introduce PRISM, a framework that disentangles architectural priors for dataset distillation, outperforming single-teacher setups.
Brian Bernhard Moser, Tobias Christian Nauen, Arundhati Shanbhag, Federico Raue, Stanislav Frolov, Joachim Folz, Andreas Dengel
We introduce SubZeroCore, a novel, training-free coreset selection method that integrates submodular coverage and density into a single, unified objective.
Brian Bernhard Moser, Arundhati Shanbhag, Tobias Christian Nauen, Stanislav Frolov, Federico Raue, Joachim Folz, Andreas Dengel
We present HyperCore, a lightweight adaptive coreset selection framework designed for noisy environments. HyperCore utilizes per class hypersphere models and adaptively selects pruning thresholds.
Arundhati Shanbhag, Brian Bernhard Moser, Tobias Christian Nauen, Stanislav Frolov, Federico Raue, Andreas Dengel
We speed up diffusion classifiers by utilizing a label hierarchy and pruning unrelated paths.