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Found 9 papers, 2 papers with code
Robust Diffusion Models for Adversarial Purification
We propose a novel robust reverse process with adversarial guidance, which is independent of given pre-trained DMs and avoids retraining or fine-tuning the DMs.
Adversarial Training on Purification (AToP): Advancing Both Robustness and Generalization
The deep neural networks are known to be vulnerable to well-designed adversarial attacks.
Synchronous Image-Label Diffusion Probability Model with Application to Stroke Lesion Segmentation on Non-contrast CT
In this paper, a novel Synchronous image-label Diffusion Probability Model (SDPM) is proposed for stroke lesion segmentation on NCCT using Markov diffusion process.
ChatPLUG: Open-Domain Generative Dialogue System with Internet-Augmented Instruction Tuning for Digital Human
In this paper, we present ChatPLUG, a Chinese open-domain dialogue system for digital human applications that instruction finetunes on a wide range of dialogue tasks in a unified internet-augmented format.
MGIMN: Multi-Grained Interactive Matching Network for Few-shot Text Classification
They also ignore the importance to capture the inter-dependency between query and the support set for few-shot text classification.
BCGGAN: Ballistocardiogram artifact removal in simultaneous EEG-fMRI using generative adversarial network
Due to its advantages of high temporal and spatial resolution, the technology of simultaneous electroencephalogram-functional magnetic resonance imaging (EEG-fMRI) acquisition and analysis has attracted much attention, and has been widely used in various research fields of brain science.
Deep Multimodal Multilinear Fusion with High-order Polynomial Pooling
Tensor-based multimodal fusion techniques have exhibited great predictive performance.
Simple and Effective Text Matching with Richer Alignment Features
In this paper, we present a fast and strong neural approach for general purpose text matching applications.
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