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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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11/21/2021
HoughCL: Finding Better Positive Pairs in Dense Self-supervised Learning
Recently, self-supervised methods show remarkable achievements in image-...
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06/04/2021
Semantic Correspondence with Transformers
We propose a novel cost aggregation network, called Cost Aggregation wit...
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02/17/2021
Domain Generalization Needs Stochastic Weight Averaging for Robustness on Domain Shifts
Domain generalization aims to learn a generalizable model to unseen targ...
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08/11/2020
Robust Long-Term Object Tracking via Improved Discriminative Model Prediction
We propose an improved discriminative model prediction method for robust...
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05/11/2020