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• DHAKR: Learning Deep Hierarchical Attention-Based Kernelized Representations for Graph Classification

  Feifei Qian, Lu Bai, Lixin Cui, Ming Li, Ziyu Lyu, Hangyuan Du, Edwin Hancock

  19995-20003

  2025-04-11

• Advancing Retrosynthesis with Retrieval-Augmented Graph Generation

  Anjie Qiao, Zhen Wang, Jiahua Rao, Yuedong Yang, Zhewei Wei

  20004-20013

  2025-04-11

• Federated t-SNE and UMAP for Distributed Data Visualization

  Dong Qiao, Xinxian Ma, Jicong Fan

  20014-20023

  2025-04-11

• Certified Causal Defense with Generalizable Robustness

  Yiran Qiao, Yu Yin, Chen Chen, Jing Ma

  20024-20032

  2025-04-11

• SUMO: Search-Based Uncertainty Estimation for Model-Based Offline Reinforcement Learning

  Zhongjian Qiao, Jiafei Lyu, Kechen Jiao, Qi Liu, Xiu Li

  20033-20041

  2025-04-11

• Scalable One-Pass Incomplete Multi-View Clustering by Aligning Anchors

  Yalan Qin, Guorui Feng, Xinpeng Zhang

  20042-20050

  2025-04-11

• PEARL: Input-Agnostic Prompt Enhancement with Negative Feedback Regulation for Class-Incremental Learning

  Yongchun Qin, Pengfei Fang, Hui Xue

  20051-20059

  2025-04-11

• Multimodal Variational Autoencoder: A Barycentric View

  Peijie Qiu, Wenhui Zhu, Sayantan Kumar, Xiwen Chen, Jin Yang, Xiaotong Sun, Abolfazl Razi, Yalin Wang, Aristeidis Sotiras

  20060-20068

  2025-04-11

• PowerMLP: An Efficient Version of KAN

  Ruichen Qiu, Yibo Miao, Shiwen Wang, Yifan Zhu, Lijia Yu, Xiao-Shan Gao

  20069-20076

  2025-04-11

• Enhancing Masked Time-Series Modeling via Dropping Patches

  Tianyu Qiu, Yi Xie, Hao Niu, Yun Xiong, Xiaofeng Gao

  20077-20085

  2025-04-11

• Efficient 3D Recognition with Event-driven Spike Sparse Convolution

  Xuerui Qiu, Man Yao, Jieyuan Zhang, Yuhong Chou, Ning Qiao, Shibo Zhou, Bo Xu, Guoqi Li

  20086-20094

  2025-04-11

• Latent Reward: LLM-Empowered Credit Assignment in Episodic Reinforcement Learning

  Yun Qu, Yuhang Jiang, Boyuan Wang, Yixiu Mao, Cheems Wang, Chang Liu, Xiangyang Ji

  20095-20103

  2025-04-11

• Fair Federated Survival Analysis

  Md Mahmudur Rahman, Sanjay Purushotham

  20104-20112

  2025-04-11

• Kernel Learning for Sample Constrained Black-Box Optimization

  Rajalaxmi Rajagopalan, Yu-Lin Wei, Romit Roy Choudhury

  20113-20120

  2025-04-11

• Can Private Machine Learning Be Fair?

  Joseph Rance, Filip Svoboda

  20121-20129

  2025-04-11

• Slice-and-Pack: Tailoring Deep Models for Customized Requirements

  Ruice Rao, Dingwei Li, Ming Li

  20130-20138

  2025-04-11

• Forget to Flourish: Leveraging Machine-Unlearning on Pretrained Language Models for Privacy Leakage

  Md Rafi Ur Rashid, Jing Liu, Toshiaki Koike-Akino, Ye Wang, Shagufta Mehnaz

  20139-20147

  2025-04-11

• The VOROS: Lifting ROC Curves to 3D to Summarize Unbalanced Classifier Performance

  Christopher Ratigan, Lenore Cowen

  20148-20156

  2025-04-11

• Error Bounds for Gaussian Process Regression Under Bounded Support Noise with Applications to Safety Certification

  Robert Reed, Luca Laurenti, Morteza Lahijanian

  20157-20164

  2025-04-11

• Improving Generalization for AI-Synthesized Voice Detection

  Hainan Ren, Li Lin, Chun-Hao Liu, Xin Wang, Shu Hu

  20165-20173

  2025-04-11

• PrivDNFIS: Privacy-preserving and Efficient Deep Neuro-Fuzzy Inference System

  Hao Ren, Xiao Lan, Rui Tang, Xingshu Chen

  20174-20182

  2025-04-11

• Monitoring Primitive Interactions During the Training of DNNs

  Jie Ren, Xinhao Zheng, Jiyu Liu, Andrew Lizarraga, Ying Nian Wu, Liang Lin, Quanshi Zhang

  20183-20191

  2025-04-11

• Cherry-Picking in Time Series Forecasting: How to Select Datasets to Make Your Model Shine

  Luis Roque, Vítor Cerqueira, Carlos Soares, Luís Torgo

  20192-20199

  2025-04-11

• Deterministic Policy Gradient Primal-Dual Methods for Continuous-Space Constrained MDPs

  Sergio Rozada, Dongsheng Ding, Antonio G. Marques, Alejandro Ribeiro

  20200-20208

  2025-04-11

• TTE: Two Tokens Are Enough to Improve Parameter-Efficient Tuning

  Jiacheng Ruan, Mingye Xie, Jingsheng Gao, Xian Gao, Suncheng Xiang, Ting Liu, Yuzhuo Fu

  20209-20217

  2025-04-11