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09/14/2023
Beta Diffusion
We introduce beta diffusion, a novel generative modeling method that int...
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04/30/2023
Class-Balancing Diffusion Models
Diffusion-based models have shown the merits of generating high-quality ...
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04/29/2023
POUF: Prompt-oriented unsupervised fine-tuning for large pre-trained models
Through prompting, large-scale pre-trained models have become more expre...
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04/25/2023
Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models
Diffusion models are powerful, but they require a lot of time and data t...
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04/11/2023
Re-imagine the Negative Prompt Algorithm: Transform 2D Diffusion into 3D, alleviate Janus problem and Beyond
Although text-to-image diffusion models have made significant strides in...
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03/13/2023
DR2: Diffusion-based Robust Degradation Remover for Blind Face Restoration
Blind face restoration usually synthesizes degraded low-quality data wit...
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06/15/2022
CARD: Classification and Regression Diffusion Models
Learning the distribution of a continuous or categorical response variab...
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06/05/2022
Diffusion-GAN: Training GANs with Diffusion
For stable training of generative adversarial networks (GANs), injecting...
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03/03/2022
Representing Mixtures of Word Embeddings with Mixtures of Topic Embeddings
A topic model is often formulated as a generative model that explains ho...
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02/19/2022
A Regularized Implicit Policy for Offline Reinforcement Learning
Offline reinforcement learning enables learning from a fixed dataset, wi...
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02/19/2022
Truncated Diffusion Probabilistic Models
Employing a forward Markov diffusion chain to gradually map the data to ...
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02/14/2022
Mixing and Shifting: Exploiting Global and Local Dependencies in Vision MLPs
Token-mixing multi-layer perceptron (MLP) models have shown competitive ...
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10/25/2021
Alignment Attention by Matching Key and Query Distributions
The neural attention mechanism has been incorporated into deep neural ne...
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12/28/2020
Comparing Probability Distributions with Conditional Transport
To measure the difference between two probability distributions, we prop...
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12/09/2020
Deep Unsupervised Image Anomaly Detection: An Information Theoretic Framework
Surrogate task based methods have recently shown great promise for unsup...
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11/03/2020
Learning on Attribute-Missing Graphs
Graphs with complete node attributes have been widely explored recently....
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10/02/2020
MCMC-Interactive Variational Inference
Leveraging well-established MCMC strategies, we propose MCMC-interactive...
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07/23/2019
Node Attribute Generation on Graphs
Graph structured data provide two-fold information: graph structures and...
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12/03/2018
Elastic Boundary Projection for 3D Medical Imaging Segmentation
We focus on an important yet challenging problem: using a 2D deep networ...
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11/28/2018
Phase Collaborative Network for Multi-Phase Medical Imaging Segmentation
Integrating multi-phase information is an effective way of boosting visu...
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07/10/2018
Understanding VAEs in Fisher-Shannon Plane
In information theory, Fisher information and Shannon information (entro...
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02/19/2018