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Found 6 papers, 1 papers with code
One-Shot Sensitivity-Aware Mixed Sparsity Pruning for Large Language Models
Various Large Language Models(LLMs) from the Generative Pretrained Transformer(GPT) family have achieved outstanding performances in a wide range of text generation tasks.
A Novel Convolutional Neural Network Architecture with a Continuous Symmetry
This paper introduces a new Convolutional Neural Network (ConvNet) architecture inspired by a class of partial differential equations (PDEs) called quasi-linear hyperbolic systems.
Whisper-KDQ: A Lightweight Whisper via Guided Knowledge Distillation and Quantization for Efficient ASR
Due to the rapid development of computing hardware resources and the dramatic growth of data, pre-trained models in speech recognition, such as Whisper, have significantly improved the performance of speech recognition tasks.
Towards Trustworthy Multi-label Sewer Defect Classification via Evidential Deep Learning
An automatic vision-based sewer inspection plays a key role of sewage system in a modern city.
ASD: Towards Attribute Spatial Decomposition for Prior-Free Facial Attribute Recognition
Representing the spatial properties of facial attributes is a vital challenge for facial attribute recognition (FAR).
The Riemannian Geometry of Deep Generative Models
Deep generative models learn a mapping from a low dimensional latent space to a high-dimensional data space.
