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Found 6 papers, 3 papers with code
Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations
Our ECBMs address both limitations of existing CBMs, providing higher accuracy and richer concept interpretations.
FSDiffReg: Feature-wise and Score-wise Diffusion-guided Unsupervised Deformable Image Registration for Cardiac Images
Specifically, FDG uses the diffusion model's multi-scale semantic features to guide the generation of the deformation field.
A Review of Intelligent Music Generation Systems
With the introduction of ChatGPT, the public's perception of AI-generated content (AIGC) has begun to reshape.
Distinguishability of Adversarial Examples
From a unique angle, we propose to investigate two important research questions in this paper: Are adversarial examples distinguishable from natural examples?
Democratizing Production-Scale Distributed Deep Learning
The interest and demand for training deep neural networks have been experiencing rapid growth, spanning a wide range of applications in both academia and industry.
A region-growing approach for automatic outcrop fracture extraction from a three-dimensional point cloud
In tests using outcrop point cloud data, the proposed method identified and extracted the full extent of individual fractures with high accuracy.
