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• Object-Aware Domain Generalization for Object Detection

  Wooju Lee, Dasol Hong, Hyungtae Lim, Hyun Myung

  2947-2955

  2024-03-24

• ProGMLP: A Progressive Framework for GNN-to-MLP Knowledge Distillation with Efficient Trade-offs

  Weigang Lu, Ziyu Guan, Wei Zhao, Yaming Yang, Yujie Sun, Zheng Liang, Yibing Zhan, Dapeng Tao

  24088-24096

  2026-03-14

• Graph Contrastive Learning with Balanced Hard Negatives and Fine-grained Semantic-aware Positives

  Hongshan Pu, Haoxu Zhang, Ye Liu, Hongmin Cai

  24873-24881

  2026-03-14

• Attribute Propagation Network for Graph Zero-Shot Learning

  Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang

  4868-4875

  2020-04-03

• Fast Learning of Temporal Action Proposal via Dense Boundary Generator

  Chuming Lin, Jian Li, Yabiao Wang, Ying Tai, Donghao Luo, Zhipeng Cui, Chengjie Wang, Jilin Li, Feiyue Huang, Rongrong Ji

  11499-11506

  2020-04-03

• MBGRLp: Multiscale Bootstrap Graph Representation Learning on Pointcloud (Student Abstract)

  Vandan Gorade, Azad Singh, Deepak Mishra

  12957-12958

  2022-06-28

• AutoDAL: Distributed Active Learning with Automatic Hyperparameter Selection

  Xu Chen, Brett Wujek

  3537-3544

  2020-04-03

• Fast Graph Neural Tangent Kernel via Kronecker Sketching

  Shunhua Jiang, Yunze Man, Zhao Song, Zheng Yu, Danyang Zhuo

  7033-7041

  2022-06-28

• EventPillars: Pillar-based Efficient Representations for Event Data

  Rui Fan, Weidong Hao, Juntao Guan, Lai Rui, Lin Gu, Tong Wu, Fanhong Zeng, Zhangming Zhu

  2861-2869

  2025-04-11

• On the Parameterized Complexity of Clustering Incomplete Data into Subspaces of Small Rank

  Robert Ganian, Iyad Kanj, Sebastian Ordyniak, Stefan Szeider

  3906-3913

  2020-04-03

• Regularized Wasserstein Means for Aligning Distributional Data

  Liang Mi, Wen Zhang, Yalin Wang

  5166-5173

  2020-04-03

• AT4CTR: Auxiliary Match Tasks for Enhancing Click-Through Rate Prediction

  Qi Liu, Xuyang Hou, Defu Lian, Zhe Wang, Haoran Jin, Jia Cheng, Jun Lei

  8787-8795

  2024-03-24

• ProtCLIP: Function-Informed Protein Multi-Modal Learning

  Hanjing Zhou, Mingze Yin, Wei Wu, Mingyang Li, Kun Fu, Jintai Chen, Jian Wu, Zheng Wang

  22937-22945

  2025-04-11

• TurboSVM-FL: Boosting Federated Learning through SVM Aggregation for Lazy Clients

  Mengdi Wang, Anna Bodonhelyi, Efe Bozkir, Enkelejda Kasneci

  15546-15554

  2024-03-24

• Dataset Evolver: An Interactive Feature Engineering Notebook

  Fatemeh Nargesian, Udayan Khurana, Tejaswini Pedapati, Horst Samulowitz, Deepak Turaga

  2018-04-29

• 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

• Shift-Pessimistic Active Learning Using Robust Bias-Aware Prediction

  Anqi Liu, Lev Reyzin, Brian Ziebart

  2015-02-21

• SeqGPT: An Out-of-the-Box Large Language Model for Open Domain Sequence Understanding

  Tianyu Yu, Chengyue Jiang, Chao Lou, Shen Huang, Xiaobin Wang, Wei Liu, Jiong Cai, Yangning Li, Yinghui Li, Kewei Tu, Hai-Tao Zheng, Ningyu Zhang, Pengjun Xie, Fei Huang, Yong Jiang

  19458-19467

  2024-03-24

• A Coreset Learning Reality Check

  Fred Lu, Edward Raff, James Holt

  8940-8948

  2023-06-26

• Spatial Graph Attention Network Modeling for Neighborhood-Scale Lead Contamination Risk Prediction Using Publicly Available Data

  Raphael Anaadumba, Nazim A.Belabbaci, Connor Sullivan, Anton Kovalev, Yidong Zhu, Pradeep Kurup, Mohammad Arif Ul Alam

  40193-40201

  2026-03-14

• Fault Injection Based Interventional Causal Learning for Distributed Applications

  Qing Wang, Jesus Rios, Saurabh Jha, Karthikeyan Shanmugam, Frank Bagehorn, Xi Yang, Robert Filepp, Naoki Abe, Larisa Shwartz

  15738-15744

  2024-07-15

• Temporal Relational Modeling with Self-Supervision for Action Segmentation

  Dong Wang, Di Hu, Xingjian Li, Dejing Dou

  2729-2737

  2021-05-18

• Towards Continuous Scientific Data Analysis and Hypothesis Evolution

  Yolanda Gil, Daniel Garijo, Varun Ratnakar, Rajiv Mayani, Ravali Adusumilli, Hunter Boyce, Arunima Srivastava, Parag Mallick

  2017-02-12

• ML-GOOD: Towards Multi-Label Graph Out-Of-Distribution Detection

  Tingyi Cai, Yunliang Jiang, Ming Li, Changqin Huang, Yi Wang, Qionghao Huang

  15650-15658

  2025-04-11

• Covariate Shift Adaptation on Learning from Positive and Unlabeled Data

  Tomoya Sakai, Nobuyuki Shimizu

  4838-4845

  2019-07-17