Papers
DANS-KGC: Diffusion Based Adaptive Negative Sampling for Knowledge Graph Completion
Haoning Li, Qinghua Huang
CommitMoE: Efficient Fallback-Free MoE Inference with Offloading Under GPU Memory Constraints
Han Li, Jingwei Sun, Junqing Lin et al.
Positive Definite Sparse Covariance Estimation via Dual Space Optimization
Fengpei Li, Wenfu Xia, Ziping Zhao
Maximizing Schatten-p Norm Regularization Toward Balance
Fangfang Li, Quanxue Gao, Yapeng Wang et al.
DeloopSGNN: Revisiting Spectral GNNs Through the Lens of Spatial Aggregation
Duanyu Li, Huijun Wu, Min Xie et al.
MARLIN: Multi-Agent Reinforcement Learning for Incremental DAG Discovery
Dong Li, Zhengzhang Chen, Xujiang Zhao et al.
Membership Inference Attack Against Large Language Model-Based Recommendation Systems: A New Distillation-Based Paradigm
Cuihong Li, Xiaowen Huang, Chuanhuan Yin et al.
METP: Multi-Granularity Integration of External Covariates for Temporal Point Processes
Boyang Li, Lingzheng Zhang, Fugee Tsung et al.
Probabilistic Hash Embeddings for Online Learning of Categorical Features
Aodong Li, Abishek Sankararaman, Balakrishnan Murali Narayanaswamy
Exploiting Space Folding by Neural Networks
Michal Lewandowski, Raphael Pisoni, Bernhard Heinzl et al.
Tab-PET: Graph-Based Positional Encodings for Tabular Transformers
Yunze Leng, Rohan Ghosh, Mehul Motani
TuckA: Hierarchical Compact Tensor Experts for Efficient Fine-Tuning
Qifeng Lei, Zhiyong Yang, Qianqian Xu et al.
FedP²EFT: Federated Learning to Personalize PEFT for Multilingual LLMs
Royson Lee, Minyoung Kim, Fady Rezk et al.
Continuum Dropout for Neural Differential Equations
Jonghun Lee, YongKyung Oh, Sungil Kim et al.
Communication-Efficient Heterogeneous Federated Learning with Sparse Prototypes in Resource-Constrained Environments
Gyuejeong Lee, Daeyoung Choi
OnEDIT: Online Editing with Decoupled Implicit Task for Large Language Models
Chae-Won Lee, Jae-Hong Lee, Ji-Hun Kang et al.
Generalization Bounds for Semi-supervised Matrix Completion with Distributional Side Information
Antoine Ledent, Soo Mun Chong, Nong Minh Hieu
Adversarial Perturbation Shield: Preventing Concept Bleed-through in Continual Learning of Personalized Generative Models
Ziwen Lan, Keisuke Maeda, Takahiro Ogawa et al.
Cooperative Graph Transformer with Structural Consensus for Multi-View Learning
Zhiyuan Lai, Jiacheng Li, Jiayuan Wang et al.
Generalizable Heterogeneity-aware Federated Feature and Basic-matrix Consistency Learning
Xuan Lai, Luying Zhong, Tianying Lu et al.
Stabilizing Spiking Neurons Through Biologically Inspired Polarization
Matthew Lai, Longbing Cao
Fairness Aware Reinforcement Learning via Proximal Policy Optimization
Gabriele La Malfa, Jie M. Zhang, Michael Luck et al.
HierarchicalPrune: Position-Aware Compression for Large-Scale Diffusion Models
Young D. Kwon, Rui Li, Sijia Li et al.
Enhancing Control Policy Smoothness by Aligning Actions with Predictions from Preceding States
Kyoleen Kwak, Hyoseok Hwang
DIET: Machine Unlearning on a Data-Diet
Nilakshan Kunananthaseelan, Jing Wu, Trung Le et al.