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11/28/2022
Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models
While the success of diffusion models has been witnessed in various doma...
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05/27/2022
Maximum Likelihood Training of Implicit Nonlinear Diffusion Models
Whereas diverse variations of diffusion models exist, expanding the line...
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06/10/2021
Score Matching Model for Unbounded Data Score
Recent advance in score-based models incorporates the stochastic differe...
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02/15/2021
Posterior-Aided Regularization for Likelihood-Free Inference
The recent development of likelihood-free inference aims training a flex...
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11/24/2020
Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder
The problem of fair classification can be mollified if we develop a meth...
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09/25/2019
Mixout: Effective Regularization to Finetune Large-scale Pretrained Language Models
In natural language processing, it has been observed recently that gener...
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09/29/2018
