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09/02/2023
GBE-MLZSL: A Group Bi-Enhancement Framework for Multi-Label Zero-Shot Learning
This paper investigates a challenging problem of zero-shot learning in t...
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08/20/2023
Arena: A Learning-based Synchronization Scheme for Hierarchical Federated Learning–Technical Report
Federated learning (FL) enables collaborative model training among distr...
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07/04/2023
SRCD: Semantic Reasoning with Compound Domains for Single-Domain Generalized Object Detection
This paper provides a novel framework for single-domain generalized obje...
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06/01/2023
Dissecting Arbitrary-scale Super-resolution Capability from Pre-trained Diffusion Generative Models
Diffusion-based Generative Models (DGMs) have achieved unparalleled perf...
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05/19/2023
SFP: Spurious Feature-targeted Pruning for Out-of-Distribution Generalization
Model substructure learning aims to find an invariant network substructu...
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05/02/2023
MDENet: Multi-modal Dual-embedding Networks for Malware Open-set Recognition
Malware open-set recognition (MOSR) aims at jointly classifying malware ...
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05/02/2023
DRPT: Disentangled and Recurrent Prompt Tuning for Compositional Zero-Shot Learning
Compositional Zero-shot Learning (CZSL) aims to recognize novel concepts...
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05/02/2023
CNS-Net: Conservative Novelty Synthesizing Network for Malware Recognition in an Open-set Scenario
We study the challenging task of malware recognition on both known and n...
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03/20/2023
Offline-Online Class-incremental Continual Learning via Dual-prototype Self-augment and Refinement
This paper investigates a new, practical, but challenging problem named ...
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02/09/2023
Data Quality-aware Mixed-precision Quantization via Hybrid Reinforcement Learning
Mixed-precision quantization mostly predetermines the model bit-width se...
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12/19/2022
Exploring Optimal Substructure for Out-of-distribution Generalization via Feature-targeted Model Pruning
Recent studies show that even highly biased dense networks contain an un...
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12/07/2022
Efficient Stein Variational Inference for Reliable Distribution-lossless Network Pruning
Network pruning is a promising way to generate light but accurate models...
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11/19/2022
Decomposed Soft Prompt Guided Fusion Enhancing for Compositional Zero-Shot Learning
Compositional Zero-Shot Learning (CZSL) aims to recognize novel concepts...
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11/15/2022
CaDM: Codec-aware Diffusion Modeling for Neural-enhanced Video Streaming
Recent years have witnessed the dramatic growth of Internet video traffi...
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08/21/2022
Fed-FSNet: Mitigating Non-I.I.D. Federated Learning via Fuzzy Synthesizing Network
Federated learning (FL) has emerged as a promising privacy-preserving di...
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03/07/2022
Towards Unbiased Multi-label Zero-Shot Learning with Pyramid and Semantic Attention
Multi-label zero-shot learning extends conventional single-label zero-sh...
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06/24/2021
Personalized Federated Learning with Clustered Generalization
We study the recent emerging personalized federated learning (PFL) that ...
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04/12/2021
Learning Robust Visual-semantic Mapping for Zero-shot Learning
Zero-shot learning (ZSL) aims at recognizing unseen class examples (e.g....
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04/30/2020
A Novel Perspective to Zero-shot Learning: Towards an Alignment of Manifold Structures via Semantic Feature Expansion
Zero-shot learning aims at recognizing unseen classes (no training examp...
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04/12/2019
AMS-SFE: Towards an Alignment of Manifold Structures via Semantic Feature Expansion for Zero-shot Learning
Zero-shot learning (ZSL) aims at recognizing unseen classes with knowled...
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04/12/2019
MAANet: Multi-view Aware Attention Networks for Image Super-Resolution
In most recent years, deep convolutional neural networks (DCNNs) based i...
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04/12/2019
Position-Aware Convolutional Networks for Traffic Prediction
Forecasting the future traffic flow distribution in an area is an import...
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03/30/2019
EE-AE: An Exclusivity Enhanced Unsupervised Feature Learning Approach
Unsupervised learning is becoming more and more important recently. As o...
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03/30/2019
