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Found 13 papers, 3 papers with code
Music Style Transfer With Diffusion Model
Previous studies on music style transfer have mainly focused on one-to-one style conversion, which is relatively limited.
FedMef: Towards Memory-efficient Federated Dynamic Pruning
To address these challenges, we propose FedMef, a novel and memory-efficient federated dynamic pruning framework.
GraphInstruct: Empowering Large Language Models with Graph Understanding and Reasoning Capability
To evaluate and enhance the graph understanding abilities of LLMs, in this paper, we propose a benchmark named GraphInstruct, which comprehensively includes 21 classical graph reasoning tasks, providing diverse graph generation pipelines and detailed reasoning steps.
APTQ: Attention-aware Post-Training Mixed-Precision Quantization for Large Language Models
Large Language Models (LLMs) have greatly advanced the natural language processing paradigm.
Style-Consistent 3D Indoor Scene Synthesis with Decoupled Objects
The core strength of our pipeline lies in its ability to generate 3D scenes that are not only visually impressive but also exhibit features like photorealism, multi-view consistency, and diversity.
Mitigating Cross-client GANs-based Attack in Federated Learning
Since a benign client's data can be leaked to the adversary, this attack brings the risk of local data leakage for clients in many security-critical FL applications.
OSTA: One-shot Task-adaptive Channel Selection for Semantic Segmentation of Multichannel Images
In this study, the concept of pruning from a supernet is used for the first time to integrate the selection of channel combination and the training of a semantic segmentation network.
Distributed Pruning Towards Tiny Neural Networks in Federated Learning
To address these challenges, we propose FedTiny, a distributed pruning framework for federated learning that generates specialized tiny models for memory- and computing-constrained devices.
Sentence Punctuation for Collaborative Commentary Generation in Esports Live-Streaming
To solve the existing sentence punctuation problem for collaborative commentary generation in Esports live-streaming, this paper presents two strategies for sentence punctuation for text sequences of game commentary, that is, punctuating sentences by two or three text sequence(s) originally punctuated by Youtube to obtain a complete sentence of commentary.
Show Me the Whole World: Towards Entire Item Space Exploration for Interactive Personalized Recommendations
Then we propose a hierarchical CB (HCB) algorithm to explore users' interest in the hierarchy tree.
Semantic and Syntactic Enhanced Aspect Sentiment Triplet Extraction
Aspect Sentiment Triplet Extraction (ASTE) aims to extract triplets from sentences, where each triplet includes an entity, its associated sentiment, and the opinion span explaining the reason for the sentiment.
Outlier-Resilient Web Service QoS Prediction
The proliferation of Web services makes it difficult for users to select the most appropriate one among numerous functionally identical or similar service candidates.
Dimensionality Reduction of Hyperspectral Imagery Based on Spatial-spectral Manifold Learning
However, a major challenge of GE is how to choose proper neighbors for graph construction and explore the spatial information of HSI data.
