Papers
12,718 papers found
InfoQ: Mixed-Precision Quantization via Global Information Flow
Mehmet Emre Akbulut, Hazem Hesham Yousef Shalby, Fabrizio Pittorino et al.
Constrained Best Arm Identification with Tests for Feasibility
Ting Cai, Kirthevasan Kandasamy
Conditional Distribution Learning for Graph Classification
Jie Chen, Hua Mao, Chuanbin Liu et al.
G-IR: Geometric Image Representation for Learning
Xin Chen, Qi Zhao, Wei Zeng et al.
F2SST: Frequency-to-Spatial Semantic Transfer for Few-Shot Image Classification
Xueyi Chen, Bangjun Wang, Jiaqing Fan et al.
Best Arm Identification with Biased Contexts
James Cheshire, Stephan Clémençon
Statistically Robust Sparse High-order Interaction Model
Diptesh Das, Ichiro Takeuchi, Koji Tsuda
Intervention-Aware Time Series Modeling: Capturing and Evaluating Feature Dependencies
Ibrahim Delibasoglu, Sanjay Chakraborty, Fredrik Heintz et al.
Communication-efficient Multi-Agent Reinforcement Learning with Spatiotemporal Information Hub
Ling Ding, Tianbai Lyu, Zhiliang Bi et al.
GCIB: Causal Intervention Guided Graph Information Bottleneck Framework
Hangyuan Du, Rong Wang, Lixin Cui et al.
Statistical Learning Theory for Distributional Classification
Christian Fiedler
BIQ: Bisection Interval Quantization for Communication-efficient Federated Learning
Luyang Gai, Shusen Yang, Xuebin Ren et al.
Neural Collapse Priors Driven Trust Semi-Supervised Multi-View Classification
Taotao Guo, Honglin Yuan, Xujian Zhao et al.
AHAMask: Reliable Task Specification for Large Audio Language Models Without Instructions
Yiwei Guo, Bohan Li, Hankun Wang et al.
Posterior Label Smoothing for Node Classification
Jaeseung Heo, MoonJeong Park, Dongwoo Kim
Uncertainty Quantification for Machine Learning: One Size Does Not Fit All
Paul Hofman, Yusuf Sale, Eyke Hüllermeier
Hyper-Opinion Vagueness Quantification for Robust Multimodal Learning
Disen Hu, Xun Jiang, Xiaofeng Cao et al.
Multi-Label Classification with Incremental and Decremental Features
Mingdie Jiang, Quanjiang Li, Tingjin Luo et al.
LatentLLM: Activation-Aware Transform to Multi-Head Latent Attention
Toshiaki Koike-Akino, Xiangyu Chen, Jing Liu et al.
EfficientFSL: Enhancing Few-Shot Classification via Query-Only Tuning In Vision Transformers
Wenwen Liao, Hang Ruan, Jianbo Yu et al.
IGT4ETH: An Isotropic Pre-trained Graph Transformer for Ethereum Account Classification
Ao Liu, Yanmei Zhang, Youwei Wang et al.
SVGL: Scale-Variable Graph Learning in Model Space for Multivariate Time Series Classification
Shikang Liu, Ziyu Tang, Xiren Zhou et al.
Conformal Prediction Meets Long-tail Classification
Shuqi Liu, Jianguo Huang, Luke Ong
Quality-aware and Soft Consistency Driven Representation Fusion for Incomplete Multi-view Multi-label Classification
Yadong Liu, Waikeung Wong, Yulong Chen et al.
A Unified Shape-Aware Foundation Model for Time Series Classification
Zhen Liu, Yucheng Wang, Boyuan Li et al.