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• FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning

  Jianqing Zhang, Yang Liu, Yang Hua, Jian Cao

  16768-16776

  2024-03-24

• Reinforced Adaptive Knowledge Learning for Multimodal Fake News Detection

  Litian Zhang, Xiaoming Zhang, Ziyi Zhou, Feiran Huang, Chaozhuo Li

  16777-16785

  2024-03-24

• Multi-Label Supervised Contrastive Learning

  Pingyue Zhang, Mengyue Wu

  16786-16793

  2024-03-24

• United We Stand: Accelerating Privacy-Preserving Neural Inference by Conjunctive Optimization with Interleaved Nexus

  Qiao Zhang, Tao Xiang, Chunsheng Xin, Hongyi Wu

  16794-16802

  2024-03-24

• A Learnable Discrete-Prior Fusion Autoencoder with Contrastive Learning for Tabular Data Synthesis

  Rongchao Zhang, Yiwei Lou, Dexuan Xu, Yongzhi Cao, Hanpin Wang, Yu Huang

  16803-16811

  2024-03-24

• Efficient Deweahter Mixture-of-Experts with Uncertainty-Aware Feature-Wise Linear Modulation

  Rongyu Zhang, Yulin Luo, Jiaming Liu, Huanrui Yang, Zhen Dong, Denis Gudovskiy, Tomoyuki Okuno, Yohei Nakata, Kurt Keutzer, Yuan Du, Shanghang Zhang

  16812-16820

  2024-03-24

• Analyzing Generalization in Policy Networks: A Case Study with the Double-Integrator System

  Ruining Zhang, Haoran Han, Maolong Lv, Qisong Yang, Jian Cheng

  16821-16829

  2024-03-24

• Reviewing the Forgotten Classes for Domain Adaptation of Black-Box Predictors

  Shaojie Zhang, Chun Shen, Shuai Lü, Zeyu Zhang

  16830-16837

  2024-03-24

• TC-LIF: A Two-Compartment Spiking Neuron Model for Long-Term Sequential Modelling

  Shimin Zhang, Qu Yang, Chenxiang Ma, Jibin Wu, Haizhou Li, Kay Chen Tan

  16838-16847

  2024-03-24

• Learning with Noisy Labels Using Hyperspherical Margin Weighting

  Shuo Zhang, Yuwen Li, Zhongyu Wang, Jianqing Li, Chengyu Liu

  16848-16856

  2024-03-24

• One Step Closer to Unbiased Aleatoric Uncertainty Estimation

  Wang Zhang, Ziwen Martin Ma, Subhro Das, Tsui-Wei Lily Weng, Alexandre Megretski, Luca Daniel, Lam M. Nguyen

  16857-16864

  2024-03-24

• Gaussian Process Neural Additive Models

  Wei Zhang, Brian Barr, John Paisley

  16865-16872

  2024-03-24

• From Toxic to Trustworthy: Using Self-Distillation and Semi-supervised Methods to Refine Neural Networks

  Xianda Zhang, Baolin Zheng, Jianbao Hu, Chengyang Li, Xiaoying Bai

  16873-16880

  2024-03-24

• Low Category Uncertainty and High Training Potential Instance Learning for Unsupervised Domain Adaptation

  Xinyu Zhang, Meng Kang, Shuai Lü

  16881-16889

  2024-03-24

• Class-Attribute Priors: Adapting Optimization to Heterogeneity and Fairness Objective

  Xuechen Zhang, Mingchen Li, Jiasi Chen, Christos Thrampoulidis, Samet Oymak

  16890-16898

  2024-03-24

• Learning Multi-Task Sparse Representation Based on Fisher Information

  Yayu Zhang, Yuhua Qian, Guoshuai Ma, Keyin Zheng, Guoqing Liu, Qingfu Zhang

  16899-16907

  2024-03-24

• A Perspective of Q-value Estimation on Offline-to-Online Reinforcement Learning

  Yinmin Zhang, Jie Liu, Chuming Li, Yazhe Niu, Yaodong Yang, Yu Liu, Wanli Ouyang

  16908-16916

  2024-03-24

• Mitigating Label Bias in Machine Learning: Fairness through Confident Learning

  Yixuan Zhang, Boyu Li, Zenan Ling, Feng Zhou

  16917-16925

  2024-03-24

• Enhancing Representation of Spiking Neural Networks via Similarity-Sensitive Contrastive Learning

  Yuhan Zhang, Xiaode Liu, Yuanpei Chen, Weihang Peng, Yufei Guo, Xuhui Huang, Zhe Ma

  16926-16934

  2024-03-24

• Cached Transformers: Improving Transformers with Differentiable Memory Cachde

  Zhaoyang Zhang, Wenqi Shao, Yixiao Ge, Xiaogang Wang, Jinwei Gu, Ping Luo

  16935-16943

  2024-03-24

• An Implicit Trust Region Approach to Behavior Regularized Offline Reinforcement Learning

  Zhe Zhang, Xiaoyang Tan

  16944-16952

  2024-03-24

• Towards a Theoretical Understanding of Why Local Search Works for Clustering with Fair-Center Representation

  Zhen Zhang, Junfeng Yang, Limei Liu, Xuesong Xu, Guozhen Rong, Qilong Feng

  16953-16960

  2024-03-24

• Symmetric Self-Paced Learning for Domain Generalization

  Di Zhao, Yun Sing Koh, Gillian Dobbie, Hongsheng Hu, Philippe Fournier-Viger

  16961-16969

  2024-03-24

• Dynamic Reactive Spiking Graph Neural Network

  Han Zhao, Xu Yang, Cheng Deng, Junchi Yan

  16970-16978

  2024-03-24

• Learning Visual Abstract Reasoning through Dual-Stream Networks

  Kai Zhao, Chang Xu, Bailu Si

  16979-16988

  2024-03-24