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• Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks

  Jintang Li, Zhouxin Yu, Zulun Zhu, Liang Chen, Qi Yu, Zibin Zheng, Sheng Tian, Ruofan Wu, Changhua Meng

  8588-8596

  2023-06-26

• Improved Kernel Alignment Regret Bound for Online Kernel Learning

  Junfan Li, Shizhong Liao

  8597-8604

  2023-06-26

• VBLC: Visibility Boosting and Logit-Constraint Learning for Domain Adaptive Semantic Segmentation under Adverse Conditions

  Mingjia Li, Binhui Xie, Shuang Li, Chi Harold Liu, Xinjing Cheng

  8605-8613

  2023-06-26

• Understanding the Generalization Performance of Spectral Clustering Algorithms

  Shaojie Li, Sheng Ouyang, Yong Liu

  8614-8621

  2023-06-26

• Restructuring Graph for Higher Homophily via Adaptive Spectral Clustering

  Shouheng Li, Dongwoo Kim, Qing Wang

  8622-8630

  2023-06-26

• Nearest-Neighbor Sampling Based Conditional Independence Testing

  Shuai Li, Ziqi Chen, Hongtu Zhu, Christina Dan Wang, Wang Wen

  8631-8639

  2023-06-26

• Towards Fine-Grained Explainability for Heterogeneous Graph Neural Network

  Tong Li, Jiale Deng, Yanyan Shen, Luyu Qiu, Huang Yongxiang, Caleb Chen Cao

  8640-8647

  2023-06-26

• Metric Nearness Made Practical

  Wenye Li, Fangchen Yu, Zichen Ma

  8648-8656

  2023-06-26

• Predictive Exit: Prediction of Fine-Grained Early Exits for Computation- and Energy-Efficient Inference

  Xiangjie Li, Chenfei Lou, Yuchi Chen, Zhengping Zhu, Yingtao Shen, Yehan Ma, An Zou

  8657-8665

  2023-06-26

• Learning with Partial Labels from Semi-supervised Perspective

  Ximing Li, Yuanzhi Jiang, Changchun Li, Yiyuan Wang, Jihong Ouyang

  8666-8674

  2023-06-26

• Learning Compact Features via In-Training Representation Alignment

  Xin Li, Xiangrui Li, Deng Pan, Yao Qiang, Dongxiao Zhu

  8675-8683

  2023-06-26

• An Extreme-Adaptive Time Series Prediction Model Based on Probability-Enhanced LSTM Neural Networks

  Yanhong Li, Jack Xu, David C. Anastasiu

  8684-8691

  2023-06-26

• Implicit Stochastic Gradient Descent for Training Physics-Informed Neural Networks

  Ye Li, Song-Can Chen, Sheng-Jun Huang

  8692-8700

  2023-06-26

• Provable Pathways: Learning Multiple Tasks over Multiple Paths

  Yingcong Li, Samet Oymak

  8701-8710

  2023-06-26

• Towards Inference Efficient Deep Ensemble Learning

  Ziyue Li, Kan Ren, Yifan Yang, Xinyang Jiang, Yuqing Yang, Dongsheng Li

  8711-8719

  2023-06-26

• SplitNet: A Reinforcement Learning Based Sequence Splitting Method for the MinMax Multiple Travelling Salesman Problem

  Hebin Liang, Yi Ma, Zilin Cao, Tianyang Liu, Fei Ni, Zhigang Li, Jianye Hao

  8720-8727

  2023-06-26

• Stepdown SLOPE for Controlled Feature Selection

  Jingxuan Liang, Xuelin Zhang, Hong Chen, Weifu Li, Xin Tang

  8728-8736

  2023-06-26

• Positive Distribution Pollution: Rethinking Positive Unlabeled Learning from a Unified Perspective

  Qianqiao Liang, Mengying Zhu, Yan Wang, Xiuyuan Wang, Wanjia Zhao, Mengyuan Yang, Hua Wei, Bing Han, Xiaolin Zheng

  8737-8745

  2023-06-26

• Policy-Independent Behavioral Metric-Based Representation for Deep Reinforcement Learning

  Weijian Liao, Zongzhang Zhang, Yang Yu

  8746-8754

  2023-06-26

• Geometry-Aware Network for Domain Adaptive Semantic Segmentation

  Yinghong Liao, Wending Zhou, Xu Yan, Zhen Li, Yizhou Yu, Shuguang Cui

  8755-8763

  2023-06-26

• Social Bias Meets Data Bias: The Impacts of Labeling and Measurement Errors on Fairness Criteria

  Yiqiao Liao, Parinaz Naghizadeh

  8764-8772

  2023-06-26

• On the Expressive Flexibility of Self-Attention Matrices

  Valerii Likhosherstov, Krzysztof Choromanski, Adrian Weller

  8773-8781

  2023-06-26

• Wasserstein Actor-Critic: Directed Exploration via Optimism for Continuous-Actions Control

  Amarildo Likmeta, Matteo Sacco, Alberto Maria Metelli, Marcello Restelli

  8782-8790

  2023-06-26

• Dual Label-Guided Graph Refinement for Multi-View Graph Clustering

  Yawen Ling, Jianpeng Chen, Yazhou Ren, Xiaorong Pu, Jie Xu, Xiaofeng Zhu, Lifang He

  8791-8798

  2023-06-26

• Metric Residual Network for Sample Efficient Goal-Conditioned Reinforcement Learning

  Bo Liu, Yihao Feng, Qiang Liu, Peter Stone

  8799-8806

  2023-06-26