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09/10/2023
SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion Models
Diffusion Probabilistic Models (DPMs) have achieved considerable success...
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07/17/2023
Complexity Matters: Rethinking the Latent Space for Generative Modeling
In generative modeling, numerous successful approaches leverage a low-di...
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07/04/2023
Training Energy-Based Models with Diffusion Contrastive Divergences
Energy-Based Models (EBMs) have been widely used for generative modeling...
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05/29/2023
Diff-Instruct: A Universal Approach for Transferring Knowledge From Pre-trained Diffusion Models
Due to the ease of training, ability to scale, and high sample quality, ...
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05/24/2023
On the Generalization of Diffusion Model
The diffusion probabilistic generative models are widely used to generat...
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02/21/2023
Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels
We propose a three-stage training strategy called dual pseudo training (...
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12/01/2022
Why Are Conditional Generative Models Better Than Unconditional Ones?
Extensive empirical evidence demonstrates that conditional generative mo...
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06/15/2022
Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models
Diffusion probabilistic models (DPMs) are a class of powerful deep gener...
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12/10/2021
Layer-Parallel Training of Residual Networks with Auxiliary-Variable Networks
Gradient-based methods for the distributed training of residual networks...
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08/20/2021
Towards Understanding the Generative Capability of Adversarially Robust Classifiers
Recently, some works found an interesting phenomenon that adversarially ...
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12/04/2020
Batch Group Normalization
Deep Convolutional Neural Networks (DCNNs) are hard and time-consuming t...
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09/03/2020
Penalty and Augmented Lagrangian Methods for Layer-parallel Training of Residual Networks
Algorithms for training residual networks (ResNets) typically require fo...
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06/16/2020
New Interpretations of Normalization Methods in Deep Learning
In recent years, a variety of normalization methods have been proposed t...
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09/13/2019
