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Found 8 papers, 1 papers with code
ChatPattern: Layout Pattern Customization via Natural Language
Existing works focus on fixed-size layout pattern generation, while the more practical free-size pattern generation receives limited attention.
Spectral Clustering for Discrete Distributions
Discrete distribution clustering (D2C) was often solved by Wasserstein barycenter methods.
Identification and Estimation for Nonignorable Missing Data: A Data Fusion Approach
We consider the task of identifying and estimating a parameter of interest in settings where data is missing not at random (MNAR).
On the Evaluation of Generative Models in Distributed Learning Tasks
First, we focus on the Fr\'echet inception distance (FID) and consider the following FID-based aggregate scores over the clients: 1) FID-avg as the mean of clients' individual FID scores, 2) FID-all as the FID distance of the trained model to the collective dataset containing all clients' data.
Symmetrical Linguistic Feature Distillation with CLIP for Scene Text Recognition
In this paper, we explore the potential of the Contrastive Language-Image Pretraining (CLIP) model in scene text recognition (STR), and establish a novel Symmetrical Linguistic Feature Distillation framework (named CLIP-OCR) to leverage both visual and linguistic knowledge in CLIP.
DiffPattern: Layout Pattern Generation via Discrete Diffusion
Deep generative models dominate the existing literature in layout pattern generation.
Truncate-Split-Contrast: A Framework for Learning from Mislabeled Videos
Thanks to Noise Contrastive Learning, the average classification accuracy improvement on Mini-Kinetics and Sth-Sth-V1 is over 1. 6\%.
GIDN: A Lightweight Graph Inception Diffusion Network for High-efficient Link Prediction
In this paper, we propose a Graph Inception Diffusion Networks(GIDN) model.
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