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12151_differentially_private_general.pdf
We study the problem of(วซ,ฮด)-differentially private learning of linear predictors with convexlosses.
Have it your way: Individualized Privacy Assignment for DP-SGD
Machine learning (ML) models are known to leak information about their training data.
Modern Hopfield Networks and Attention for Immune Repertoire Classification
Michael Widrich, Bernhard Schรคfl, Milena Pavlovic, Hubert Ramsauer, Lukas Gruber, Markus Holzleitner, Johannes Brandstetter, Geir Kjetil Sandve, Victor Greiff, Sepp Hochreiter, Gรผnter Klambauer
34th Conference on Neural Information Processing Systems (NeurIPS 2020), Vancouver, Canada
MambaLLIE: Implicit Retinex-Aware Low Light Enhancement with Global-then-Local State Space
Moreover, CNNs and Transformers struggle to capture global degradation due to their limited receptive fields.
Catch-A-Waveform: LearningtoGenerateAudio fromaSingleShortExample
Oncetrained,ourmodelcangeneraterandom samples of arbitrary duration that maintain semantic similarity to the training waveform, yet exhibit new compositions of its audio primitives.
