Code for my PhD thesis

• Chapter 3a -- \url{https://github.com/allglc/stylegan2-ada-pytorch} and \url{https://github.com/allglc/gan} link GAN and classifier to generate corner cases
• Chapter 3b -- \url{https://github.com/allglc/uncertainty-conditioned-gan} uncertainty conditioned GAN
• Chapter 3c -- \url{https://github.com/allglc/toy-problem} and \url{https://github.com/allglc/domain-images} define domain in latent space
• \orangecheck Chapter 4a -- \url{https://github.com/allglc/selective-classif} selective classification
• \orangecheck Chapter 4b -- \url{https://github.com/allglc/calibration} (my version) and \url{https://github.com/allglc/tva-calibration} (cleaned-up version)
• \orangecheck Chapter 4c -- \url{https://github.com/allglc/calibration-with-synthetic-data} calibrate with synthetic data
• Chapter 5 -- \url{https://github.com/allglc/diffusion} (simple diffusion models) and \url{https://github.com/allglc/semantics} (stable diffusion domain experiments)
• Other -- \url{https://github.com/allglc/clip-confidence} and \url{https://github.com/allglc/dream-domain} and \url{https://github.com/allglc/clip-characterize-classifier}