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• Fairness without Demographics through Shared Latent Space-Based Debiasing

  Rashidul Islam, Huiyuan Chen, Yiwei Cai

  12717-12725

  2024-03-24

• TMPNN: High-Order Polynomial Regression Based on Taylor Map Factorization

  Andrei Ivanov, Stefan Ailuro

  12726-12734

  2024-03-24

• Personalized Reinforcement Learning with a Budget of Policies

  Dmitry Ivanov, Omer Ben-Porat

  12735-12743

  2024-03-24

• Delivering Inflated Explanations

  Yacine Izza, Alexey Ignatiev, Peter J. Stuckey, Joao Marques-Silva

  12744-12753

  2024-03-24

• Unified Framework for Diffusion Generative Models in SO(3): Applications in Computer Vision and Astrophysics

  Yesukhei Jagvaral, Francois Lanusse, Rachel Mandelbaum

  12754-12762

  2024-03-24

• GO-DICE: Goal-Conditioned Option-Aware Offline Imitation Learning via Stationary Distribution Correction Estimation

  Abhinav Jain, Vaibhav Unhelkar

  12763-12772

  2024-03-24

• Instance-Conditional Timescales of Decay for Non-Stationary Learning

  Nishant Jain, Pradeep Shenoy

  12773-12781

  2024-03-24

• Universal Weak Coreset

  Ragesh Jaiswal, Amit Kumar

  12782-12789

  2024-03-24

• Transportable Representations for Domain Generalization

  Kasra Jalaldoust, Elias Bareinboim

  12790-12800

  2024-03-24

• Meta-Learning-Based Adaptive Stability Certificates for Dynamical Systems

  Amit Jena, Dileep Kalathil, Le Xie

  12801-12809

  2024-03-24

• Rethinking Dimensional Rationale in Graph Contrastive Learning from Causal Perspective

  Qirui Ji, Jiangmeng Li, Jie Hu, Rui Wang, Changwen Zheng, Fanjiang Xu

  12810-12820

  2024-03-24

• MusER: Musical Element-Based Regularization for Generating Symbolic Music with Emotion

  Shulei Ji, Xinyu Yang

  12821-12829

  2024-03-24

• FedFixer: Mitigating Heterogeneous Label Noise in Federated Learning

  Xinyuan Ji, Zhaowei Zhu, Wei Xi, Olga Gadyatskaya, Zilong Song, Yong Cai, Yang Liu

  12830-12838

  2024-03-24

• Stratified GNN Explanations through Sufficient Expansion

  Yuwen Ji, Lei Shi, Zhimeng Liu, Ge Wang

  12839-12847

  2024-03-24

• FedLPS: Heterogeneous Federated Learning for Multiple Tasks with Local Parameter Sharing

  Yongzhe Jia, Xuyun Zhang, Amin Beheshti, Wanchun Dou

  12848-12856

  2024-03-24

• Long-Tailed Partial Label Learning by Head Classifier and Tail Classifier Cooperation

  Yuheng Jia, Xiaorui Peng, Ran Wang, Min-Ling Zhang

  12857-12865

  2024-03-24

• Which Is More Effective in Label Noise Cleaning, Correction or Filtering?

  Gaoxia Jiang, Jia Zhang, Xuefei Bai, Wenjian Wang, Deyu Meng

  12866-12873

  2024-03-24

• Navigating Real-World Partial Label Learning: Unveiling Fine-Grained Images with Attributes

  Haoran Jiang, Zhihao Sun, YingJie Tian

  12874-12882

  2024-03-24

• DHGCN: Dynamic Hop Graph Convolution Network for Self-Supervised Point Cloud Learning

  Jincen Jiang, Lizhi Zhao, Xuequan Lu, Wei Hu, Imran Razzak, Meili Wang

  12883-12891

  2024-03-24

• FMRNet: Image Deraining via Frequency Mutual Revision

  Kui Jiang, Junjun Jiang, Xianming Liu, Xin Xu, Xianzheng Ma

  12892-12900

  2024-03-24

• Racing Control Variable Genetic Programming for Symbolic Regression

  Nan Jiang, Yexiang Xue

  12901-12909

  2024-03-24

• Learning Diverse Risk Preferences in Population-Based Self-Play

  Yuhua Jiang, Qihan Liu, Xiaoteng Ma, Chenghao Li, Yiqin Yang, Jun Yang, Bin Liang, Qianchuan Zhao

  12910-12918

  2024-03-24

• Deep Incomplete Multi-View Learning Network with Insufficient Label Information

  Zhangqi Jiang, Tingjin Luo, Xinyan Liang

  12919-12927

  2024-03-24

• Provably Convergent Federated Trilevel Learning

  Yang Jiao, Kai Yang, Tiancheng Wu, Chengtao Jian, Jianwei Huang

  12928-12937

  2024-03-24

• Performative Federated Learning: A Solution to Model-Dependent and Heterogeneous Distribution Shifts

  Kun Jin, Tongxin Yin, Zhongzhu Chen, Zeyu Sun, Xueru Zhang, Yang Liu, Mingyan Liu

  12938-12946

  2024-03-24