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Homogeneous Graph Extraction: An Approach to Learning Heterogeneous Graph Embedding
Heterogeneous Graph Neural Networks (HGNNs) aim to embed rich structural and semantic information of heterogeneous graphs into …
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Homogeneous Graph Extraction: An Approach to Learning Heterogeneous Graph Embedding
PointActionCLIP: Preventing Transfer Degradation in Point Cloud Action Recognition with a Triple-Path CLIP
Directly applying CLIP to point cloud action recognition can cause severe accuracy collapse. In this paper, we propose PointActionCLIP, …
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PointActionCLIP: Preventing Transfer Degradation in Point Cloud Action Recognition with a Triple-Path CLIP
VisTa: Visual-contextual and Text-augmented Zero-shot Object-level OOD Detection
As object detectors are increasingly deployed as black-box cloud services or pre-trained models with restricted access to the original …
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VisTa: Visual-contextual and Text-augmented Zero-shot Object-level OOD Detection
RUNA: Object-level Out-of-Distribution Detection via Regional Uncertainty Alignment of Multimodal Representations
Enabling object detectors to recognize out-of-distribution (OOD) objects is vital for building reliable systems. A primary obstacle …
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RUNA: Object-level Out-of-Distribution Detection via Regional Uncertainty Alignment of Multimodal Representations
Cocktail:Chunk-AdaptiveMixed-Precision Ouanization for Long-Context LLM inference
Recently, large language models (LLMs) have been able to handle longer and longer contexts. However, a context that is too long may …
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Cocktail:Chunk-AdaptiveMixed-Precision Ouanization for Long-Context LLM inference
Incremental Label Distribution Learning With Scalable Graph Convolutional Networks
Label Distribution Learning (LDL) is an effective approach for handling label ambiguity, as it can analyze all labels at once and …
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Incremental Label Distribution Learning With Scalable Graph Convolutional Networks
IDEAW: Robust Neural Audio Watermarking with Invertible Dual-Embedding
The audio watermarking technique embeds messages into audio and accurately extracts messages from the watermarked audio. Traditional …
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IDEAW: Robust Neural Audio Watermarking with Invertible Dual-Embedding
FormerReckoning: Physics Inspired Transformer for Accurate Inertial Navigation
Although modern localization methods have achieved remarkable accuracy with various sensors, there are still some circumstances where …
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FormerReckoning: Physics Inspired Transformer for Accurate Inertial Navigation
Beyond Aggregation: Efficient Federated Model Consolidation with Heterogeneity-Adaptive Weights Diffusion
As the Internet of Things (IoT) evolves, the need for enhanced data-sharing to improve edge device performance has led to the adoption …
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Beyond Aggregation: Efficient Federated Model Consolidation with Heterogeneity-Adaptive Weights Diffusion
Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning
Instruction tuning is critical to improve LLMs but usually suffers from low-quality and redundant data. Data filtering for instruction …
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Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning