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Found 5 papers, 1 papers with code
A Survey of Lottery Ticket Hypothesis
The Lottery Ticket Hypothesis (LTH) states that a dense neural network model contains a highly sparse subnetwork (i. e., winning tickets) that can achieve even better performance than the original model when trained in isolation.
Segmentation of Mediastinal Lymph Nodes in CT with Anatomical Priors
Purpose: Lymph nodes (LNs) in the chest have a tendency to enlarge due to various pathologies, such as lung cancer or pneumonia.
Successfully Applying Lottery Ticket Hypothesis to Diffusion Model
Therefore, we propose to find the winning ticket with varying sparsity along different layers in the model.
UrbanIR: Large-Scale Urban Scene Inverse Rendering from a Single Video
UrbanIR uses a novel loss to make very good estimates of shadow volumes in the original scene.
Random Subspace Learning Approach to High-Dimensional Outliers Detection
We introduce and develop a novel approach to outlier detection based on adaptation of random subspace learning.
