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06/08/2023
Multi-Architecture Multi-Expert Diffusion Models
Diffusion models have achieved impressive results in generating diverse ...
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06/07/2023
ScoreCL: Augmentation-Adaptive Contrastive Learning via Score-Matching Function
Self-supervised contrastive learning (CL) has achieved state-of-the-art ...
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06/01/2023
Addressing Negative Transfer in Diffusion Models
Diffusion-based generative models have achieved remarkable success in va...
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05/30/2023
Cross Encoding as Augmentation: Towards Effective Educational Text Classification
Text classification in education, usually called auto-tagging, is the au...
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05/26/2023
Evaluation of Question Generation Needs More References
Question generation (QG) is the task of generating a valid and fluent qu...
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12/12/2022
Towards Practical Plug-and-Play Diffusion Models
Diffusion-based generative models have achieved remarkable success in im...
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10/04/2022
Towards Flexible Inductive Bias via Progressive Reparameterization Scheduling
There are two de facto standard architectures in recent computer vision:...
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09/15/2022
Bridging Implicit and Explicit Geometric Transformations for Single-Image View Synthesis
Creating novel views from a single image has achieved tremendous strides...
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11/08/2021
Geometrically Adaptive Dictionary Attack on Face Recognition
CNN-based face recognition models have brought remarkable performance im...
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11/08/2021
Residual-Guided Learning Representation for Self-Supervised Monocular Depth Estimation
Photometric consistency loss is one of the representative objective func...
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01/13/2021