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07/03/2023
ACDMSR: Accelerated Conditional Diffusion Models for Single Image Super-Resolution
Diffusion models have gained significant popularity in the field of imag...
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06/01/2023
A Transformer-based representation-learning model with unified processing of multimodal input for clinical diagnostics
During the diagnostic process, clinicians leverage multimodal informatio...
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04/17/2023
Everyone Can Be Picasso? A Computational Framework into the Myth of Human versus AI Painting
The recent advances of AI technology, particularly in AI-Generated Conte...
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08/14/2022
Semi-Supervised Video Inpainting with Cycle Consistency Constraints
Deep learning-based video inpainting has yielded promising results and g...
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08/11/2022
On the Pros and Cons of Momentum Encoder in Self-Supervised Visual Representation Learning
Exponential Moving Average (EMA or momentum) is widely used in modern se...
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07/30/2022
A Survey on Masked Autoencoder for Self-supervised Learning in Vision and Beyond
Masked autoencoders are scalable vision learners, as the title of MAE <c...
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07/22/2022
Decoupled Adversarial Contrastive Learning for Self-supervised Adversarial Robustness
Adversarial training (AT) for robust representation learning and self-su...
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07/05/2022
Understanding and Improving Group Normalization
Various normalization layers have been proposed to help the training of ...
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03/30/2022
Investigating Top-k White-Box and Transferable Black-box Attack
Existing works have identified the limitation of top-1 attack success ra...
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03/30/2022
Dual Temperature Helps Contrastive Learning Without Many Negative Samples: Towards Understanding and Simplifying MoCo
Contrastive learning (CL) is widely known to require many negative sampl...
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03/30/2022
How Does SimSiam Avoid Collapse Without Negative Samples? A Unified Understanding with Self-supervised Contrastive Learning
To avoid collapse in self-supervised learning (SSL), a contrastive loss ...
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02/11/2022
Noise Augmentation Is All You Need For FGSM Fast Adversarial Training: Catastrophic Overfitting And Robust Overfitting Require Different Augmentation
Adversarial training (AT) and its variants are the most effective approa...
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03/01/2021
Query Rewriting via Cycle-Consistent Translation for E-Commerce Search
Nowadays e-commerce search has become an integral part of many people's ...
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06/03/2020
Towards Personalized and Semantic Retrieval: An End-to-End Solution for E-commerce Search via Embedding Learning
Nowadays e-commerce search has become an integral part of many people's ...
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06/03/2020
Towards Personalized and Semantic Retrieval: An End-to-EndSolution for E-commerce Search via Embedding Learning
Nowadays e-commerce search has become an integral part of many people's ...
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09/13/2017
A Computational Model of Afterimages based on Simultaneous and Successive Contrasts
Negative afterimage appears in our vision when we shift our gaze from an...
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10/06/2014
Bayesian regression and Bitcoin
In this paper, we discuss the method of Bayesian regression and its effi...
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02/10/2014