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cs.CV2024
Shielded Diffusion: Generating Novel and Diverse Images using Sparse Repellency
Michael Kirchhof, James Thornton, Louis Béthune +3
The adoption of text-to-image diffusion models raises concerns over reliability, drawing scrutiny under the lens of various metrics like calibration, fairness, or compute efficienc…
cs.LG2024
Careful with that Scalpel: Improving Gradient Surgery with an EMA
Yu-Guan Hsieh, James Thornton, Eugene Ndiaye +3
Beyond minimizing a single training loss, many deep learning estimation pipelines rely on an auxiliary objective to quantify and encourage desirable properties of the model (e.g. p…