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• Sliding Window Temporal Graph Coloring

  George B. Mertzios, Hendrik Molter, Viktor Zamaraev

  7667-7674

  2019-07-17

• Understanding and Improving Proximity Graph Based Maximum Inner Product Search

  Jie Liu, Xiao Yan, Xinyan Dai, Zhirong Li, James Cheng, Ming-Chang Yang

  139-146

  2020-04-03

• Random Intersection Graphs and Missing Data

  Dror Salti, Yakir Berchenko

  5579-5585

  2020-04-03

• Exploring the Better Multimodal Synergy Strategy for Vision-Language Models

  Xiaotian Yin, Xin Liu, Si Chen, Yuan Wang, Yuwen Pan, Tianzhu Zhang

  22182-22190

  2025-04-11

• Measuring Catastrophic Forgetting in Neural Networks

  Ronald Kemker, Marc McClure, Angelina Abitino, Tyler Hayes, Christopher Kanan

  2018-04-29

• M2SD:Multiple Mixing Self-Distillation for Few-Shot Class-Incremental Learning

  Jinhao Lin, Ziheng Wu, Weifeng Lin, Jun Huang, RongHua Luo

  3422-3431

  2024-03-24

• Human-Corrected Labels Learning: Enhancing Labels Quality via Human Correction of VLMs Discrepancies

  Zhongnian Li, Lan Chen, Yixin Xu, Shi Xu, Xinzheng Xu

  23346-23354

  2026-03-14

• Deep Amortized Relational Model with Group-Wise Hierarchical Generative Process

  Huafeng Liu, Tong Zhou, Jiaqi Wang

  7550-7557

  2022-06-28

• Graph Scan Statistics With Uncertainty

  Jose Cadena, Arinjoy Basak, Anil Vullikanti, Xinwei Deng

  2018-04-29

• Watch Your Head: Assembling Projection Heads to Save the Reliability of Federated Models

  Jinqian Chen, Jihua Zhu, Qinghai Zheng, Zhongyu Li, Zhiqiang Tian

  11329-11337

  2024-03-24

• Semi-Supervised Blind Image Quality Assessment through Knowledge Distillation and Incremental Learning

  Wensheng Pan, Timin Gao, Yan Zhang, Xiawu Zheng, Yunhang Shen, Ke Li, Runze Hu, Yutao Liu, Pingyang Dai

  4388-4396

  2024-03-24

• Fair Sampling in Diffusion Models through Switching Mechanism

  Yujin Choi, Jinseong Park, Hoki Kim, Jaewook Lee, Saerom Park

  21995-22003

  2024-03-24

• Finding Interpretable Class-Specific Patterns through Efficient Neural Search

  Nils Philipp Walter, Jonas Fischer, Jilles Vreeken

  9062-9070

  2024-03-24

• Improving Semi-Supervised Support Vector Machines Through Unlabeled Instances Selection

  Yu-Feng Li, Zhi-Hua Zhou

  386-391

  2011-08-04

• See Through Their Minds: Learning Transferable Brain Decoding Models from Cross-Subject fMRI

  Yulong Liu, Yongqiang Ma, Guibo Zhu, Haodong Jing, Nanning Zheng

  5730-5738

  2025-04-11

• KICE: A Knowledge Consolidation and Expansion Framework for Relation Extraction

  Yilin Lu, Xiaoqiang Wang, Haofeng Yang, Siliang Tang

  13336-13343

  2023-06-26

• Active Learning Guided by Efficient Surrogate Learners

  Yunpyo An, Suyeong Park, Kwang In Kim

  10874-10881

  2024-03-24

• Key Feature Replacement of In-Distribution Samples for Out-of-Distribution Detection

  Jaeyoung Kim, Seo Taek Kong, Dongbin Na, Kyu-Hwan Jung

  8246-8254

  2023-06-26

• Backdoor Attacks via Machine Unlearning

  Zihao Liu, Tianhao Wang, Mengdi Huai, Chenglin Miao

  14115-14123

  2024-03-24

• Three Heads Are Better than One: Complementary Experts for Long-Tailed Semi-supervised Learning

  Chengcheng Ma, Ismail Elezi, Jiankang Deng, Weiming Dong, Changsheng Xu

  14229-14237

  2024-03-24

• TabNet: Attentive Interpretable Tabular Learning

  Sercan Ö. Arik, Tomas Pfister

  6679-6687

  2021-05-18

• Can Bad Teaching Induce Forgetting? Unlearning in Deep Networks Using an Incompetent Teacher

  Vikram S Chundawat, Ayush K Tarun, Murari Mandal, Mohan Kankanhalli

  7210-7217

  2023-06-26

• Automatically Generating Numerous Context-Driven SFT Data for LLMs Across Diverse Granularity

  Shanghaoran Quan

  25074-25082

  2025-04-11

• Morphism-Based Learning for Structured Data

  Kilho Shin, Dave Shepard

  5767-5775

  2020-04-03

• A General Formulation for Safely Exploiting Weakly Supervised Data

  Lan-Zhe Guo, Yu-Feng Li

  2018-04-29