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• DGA-GNN: Dynamic Grouping Aggregation GNN for Fraud Detection

  Mingjiang Duan, Tongya Zheng, Yang Gao, Gang Wang, Zunlei Feng, Xinyu Wang

  11820-11828

  2024-03-24

• Roll with the Punches: Expansion and Shrinkage of Soft Label Selection for Semi-supervised Fine-Grained Learning

  Yue Duan, Zhen Zhao, Lei Qi, Luping Zhou, Lei Wang, Yinghuan Shi

  11829-11837

  2024-03-24

• Provably Powerful Graph Neural Networks for Directed Multigraphs

  Béni Egressy, Luc von Niederhäusern, Jovan Blanuša, Erik Altman, Roger Wattenhofer, Kubilay Atasu

  11838-11846

  2024-03-24

• Causal Adversarial Perturbations for Individual Fairness and Robustness in Heterogeneous Data Spaces

  Ahmad-Reza Ehyaei, Kiarash Mohammadi, Amir-Hossein Karimi, Samira Samadi, Golnoosh Farnadi

  11847-11855

  2024-03-24

• Double-Descent Curves in Neural Networks: A New Perspective Using Gaussian Processes

  Ouns El Harzli, Bernardo Cuenca Grau, Guillermo Valle-Pérez, Ard A. Louis

  11856-11864

  2024-03-24

• A Score-Based Deterministic Diffusion Algorithm with Smooth Scores for General Distributions

  Karthik Elamvazhuthi, Xuechen Zhang, Matthew Jacobs, Samet Oymak, Fabio Pasqualetti

  11866-11873

  2024-03-24

• Feature Transportation Improves Graph Neural Networks

  Moshe Eliasof, Eldad Haber, Eran Treister

  11874-11882

  2024-03-24

• Exact Inference for Continuous-Time Gaussian Process Dynamics

  Katharina Ensinger, Nicholas Tagliapietra , Sebastian Ziesche, Sebastian Trimpe

  11883-11891

  2024-03-24

• Learning Hybrid Dynamics Models with Simulator-Informed Latent States

  Katharina Ensinger, Sebastian Ziesche, Sebastian Trimpe

  11892-11900

  2024-03-24

• PAC-Bayes Generalisation Bounds for Dynamical Systems including Stable RNNs

  Deividas Eringis, John Leth, Zheng-Hua Tan, Rafael Wisniewski, Mihály Petreczky

  11901-11909

  2024-03-24

• Non-parametric Representation Learning with Kernels

  Pascal Esser, Maximilian Fleissner, Debarghya Ghoshdastidar

  11910-11918

  2024-03-24

• Neural Gaussian Similarity Modeling for Differential Graph Structure Learning

  Xiaolong Fan, Maoguo Gong, Yue Wu, Zedong Tang, Jieyi Liu

  11919-11926

  2024-03-24

• Dynamic Sub-graph Distillation for Robust Semi-supervised Continual Learning

  Yan Fan, Yu Wang, Pengfei Zhu, Qinghua Hu

  11927-11935

  2024-03-24

• Selective Focus: Investigating Semantics Sensitivity in Post-training Quantization for Lane Detection

  Yunqian Fan, Xiuying Wei, Ruihao Gong, Yuqing Ma, Xiangguo Zhang, Qi Zhang, Xianglong Liu

  11936-11943

  2024-03-24

• Backdoor Adjustment via Group Adaptation for Debiased Coupon Recommendations

  Junpeng Fang, Gongduo Zhang, Qing Cui, Caizhi Tang, Lihong Gu, Longfei Li, Jinjie Gu, Jun Zhou

  11944-11952

  2024-03-24

• Improving GNN Calibration with Discriminative Ability: Insights and Strategies

  Yujie Fang, Xin Li, Qianyu Chen, Mingzhong Wang

  11953-11960

  2024-03-24

• SUF: Stabilized Unconstrained Fine-Tuning for Offline-to-Online Reinforcement Learning

  Jiaheng Feng, Mingxiao Feng, Haolin Song, Wengang Zhou, Houqiang Li

  11961-11969

  2024-03-24

• BaCon: Boosting Imbalanced Semi-supervised Learning via Balanced Feature-Level Contrastive Learning

  Qianhan Feng, Lujing Xie, Shijie Fang, Tong Lin

  11970-11978

  2024-03-24

• Latent Diffusion Transformer for Probabilistic Time Series Forecasting

  Shibo Feng, Chunyan Miao, Zhong Zhang, Peilin Zhao

  11979-11987

  2024-03-24

• Partial Multi-View Clustering via Self-Supervised Network

  Wei Feng, Guoshuai Sheng, Qianqian Wang, Quanxue Gao, Zhiqiang Tao, Bo Dong

  11988-11995

  2024-03-24

• Harnessing Manycore Processors with Distributed Memory for Accelerated Training of Sparse and Recurrent Models

  Jan Finkbeiner, Thomas Gmeinder, Mark Pupilli, Alexander Titterton, Emre Neftci

  11996-12005

  2024-03-24

• Graph Learning in 4D: A Quaternion-Valued Laplacian to Enhance Spectral GCNs

  Stefano Fiorini, Stefano Coniglio, Michele Ciavotta, Enza Messina

  12006-12015

  2024-03-24

• Learning Broadcast Protocols

  Dana Fisman, Noa Izsak, Swen Jacobs

  12016-12023

  2024-03-24

• Beyond Expected Return: Accounting for Policy Reproducibility When Evaluating Reinforcement Learning Algorithms

  Manon Flageat, Bryan Lim, Antoine Cully

  12024-12032

  2024-03-24

• Symbolic Regression Enhanced Decision Trees for Classification Tasks

  Kei Sen Fong, Mehul Motani

  12033-12042

  2024-03-24