Papers
View-Association-Guided Dynamic Multi-View Classification
Xinyan Liang, Li Lv, Qian Guo et al.
Critical Node-aware Augmentation for Hypergraph Contrastive Learning
Zhuo Li, Yuena Lin, Yipeng Wang et al.
Uncertainty-guided Graph Contrastive Learning from a Unified Perspective
Zhiqiang Li, Jie Wang, Jianqing Liang et al.
FAST: A Lightweight Mechanism Unleashing Arbitrary Client Participation in Federated Learning
Zhe Li, Seyedsina Nabavirazavi, Bicheng Ying et al.
Conditional Information Bottleneck-Based Multivariate Time Series Forecasting
Xinhui Li, Liang Duan, Lixing Yu et al.
Transferable Relativistic Predictor: Mitigating Cross-Task Cold-Start Issue in NAS
Nan Li, Bing Xue, Lianbo Ma et al.
Efficient Differentiable Approximation of Generalized Low-rank Regularization
Naiqi Li, Yuqiu Xie, Peiyuan Liu et al.
TsCA: On the Semantic Consistency Alignment via Conditional Transport for Compositional Zero-Shot Learning
Miaoge Li, Jingcai Guo, Richard Yi Da Xu et al.
Leveraging Peer-Informed Label Consistency for Robust Graph Neural Networks with Noisy Labels
Kailai Li, Jiawei Sun, Jiong Lou et al.
MiniMal: Hard-Label Adversarial Attack Against Static Malware Detection with Minimal Perturbation
Chengyi Li, Zhiyuan Jiang, Yongjun Wang et al.
CSAHFL:Clustered Semi-Asynchronous Hierarchical Federated Learning for Dual-layer Non-IID in Heterogeneous Edge Computing Networks
Aijing Li, Junping Du, Dandan Liu et al.
Distilling A Universal Expert from Clustered Federated Learning
Zeqi Leng, Chunxu Zhang, Guodong Long et al.
CASA: CNN Autoencoder-based Score Attention for Efficient Multivariate Long-term Time-series Forecasting
Minhyuk Lee, Hyekyung Yoon, MyungJoo Kang
Linear Trading Position with Sparse Spectrum
Zhao-Rong Lai, Haisheng Yang
Label Distribution Learning with Biased Annotations Assisted by Multi-Label Learning
Zhiqiang Kou, Si Qin, Hailin Wang et al.
StarFT: Robust Fine-tuning of Zero-shot Models via Spuriosity Alignment
Younghyun Kim, Jongheon Jeong, Sangkyung Kwak et al.
Modular Deep Reinforcement Learning for Multi-Workload Offloading in Edge Networks
Hongchang Ke, Yan Ding, Lin Pan et al.
Where and How to Enhance: Discovering Bit-Width Contribution for Mixed Precision Quantization
Haidong Kang, Lianbo Ma, Guo Yu et al.
A Multi-view Fusion Approach for Enhancing Speech Signals via Short-time Fractional Fourier Transform
Zikun Jin, Yuhua Qian, Xinyan Liang et al.
FedCPD:Personalized Federated Learning with Prototype-Enhanced Representation and Memory Distillation
Kaili Jin, Li Xu, Xiaoding Wang et al.
Interactive Multimodal Learning via Flat Gradient Modification
Qing-Yuan Jiang, Zhouyang Chi, Yang Yang
Heterogeneous Federated Learning with Scalable Server Mixture-of-Experts
Jingang Jiang, Yanzhao Chen, Xiangyang Liu et al.
Learning to Explain: Towards Human-Aligned Explainability in Deep Reinforcement Learning via Attention Guidance
Bokai Ji, Guangxia Li, Yulong Shen et al.
Most General Explanations of Tree Ensembles
Yacine Izza, Akexey Ignatiev, Sasha Rubin et al.