Papers
From Tokens to Latent States: Leveraging Pre-trained Language Models for Improving Partially Observable Reinforcement Learning
Meiju Li, Ruixiang Sun, Xin Li et al.
Sub-MoE: Efficient Mixture-of-Expert LLMs Compression via Subspace Expert Merging
Lujun Li, Qiyuan Zhu, Jiacheng Wang et al.
Stratified Knowledge-Density Super-Network for Scalable Vision Transformers
Longhua Li, Lei Qi, Xin Geng
C-GNN-PRUNE: A Unified Graph-Based Framework for Structure-Aware Pruning of Mixture-of-Experts Models
Lin Li, Yan Wang, Zhuopeng Wang
BOFA: Bridge-Layer Orthogonal Low-Rank Fusion for CLIP-Based Class-Incremental Learning
Lan Li, Tao Hu, Da-Wei Zhou et al.
Cross-Sample Augmented Test-Time Adaptation for Personalized Intraoperative Hypotension Prediction
Kanxue Li, Yibing Zhan, Hua Jin et al.
Shedding the Facades, Connecting the Domains: Detecting Shifting Multimodal Hate Video with Test-Time Adaptation
Jiao Li, Jian Lang, Xikai Tang et al.
Palimpsest: Reconciling the CISS Trilemma for Incremental Nuclei Segmentation
Jiajia Li, Huisi Wu
Bridging Modalities via Progressive Re-alignment for Multimodal Test-Time Adaptation
Jiacheng Li, Songhe Feng
Balancing Multimodal Domain Generalization via Gradient Modulation and Projection
Hongzhao Li, Guohao Shen, Shupan Li et al.
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