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• Differentially Private Normalizing Flows for Synthetic Tabular Data Generation

  Jaewoo Lee, Minjung Kim, Yonghyun Jeong, Youngmin Ro

  7345-7353

  2022-06-28

• Saving Stochastic Bandits from Poisoning Attacks via Limited Data Verification

  Anshuka Rangi, Long Tran-Thanh, Haifeng Xu, Massimo Franceschetti

  8054-8061

  2022-06-28

• Learning to Auto Weight: Entirely Data-Driven and Highly Efficient Weighting Framework

  Zhenmao Li, Yichao Wu, Ken Chen, Yudong Wu, Shunfeng Zhou, Jiaheng Liu, Jiaheng Liu, Junjie Yan

  4788-4795

  2020-04-03

• Pricing Online LLM Services with Data-Calibrated Stackelberg Routing Game

  Zhendong Guo, Wenchao Bai, Jiahui Jin

  17005-17013

  2026-03-14

• Hybrid Approaches to Fine-Grained Emotion Detection in Social Media Data

  Annika Marie Schoene

  13732-13733

  2020-04-03

• FIND: A Framework for Discovering Formulas in Data

  Tingxiong Xiao, Yuxiao Cheng, Jinli Suo

  21653-21660

  2025-04-11

• Few-step Flow for 3D Generation via Marginal-Data Transport Distillation

  Zanwei Zhou, Taoran Yi, Jiemin Fang, Chen Yang, Lingxi Xie, Xinggang Wang, Wei Shen, Qi Tian

  13853-13861

  2026-03-14

• Does the Geometry of the Data Control the Geometry of Neural Predictions? (Student Abstract)

  Anirudh Cowlagi, Pratik Chaudhari

  12931-12932

  2022-06-28

• BitDP: Ultra-low-bit Communication for Data Parallelism in LLM Training

  Xiaozhe Ren, Qiong Luo

  25133-25141

  2026-03-14

• Data-Efficient Image Quality Assessment with Attention-Panel Decoder

  Guanyi Qin, Runze Hu, Yutao Liu, Xiawu Zheng, Haotian Liu, Xiu Li, Yan Zhang

  2091-2100

  2023-06-26

• RAA: Achieving Interactive Remove/Add Anything via Fully Synthetic Data

  Delong Liu, Haotian Hou, Zhaohui Hou, Shihao Han, Zhiyuan Huang, Mingjie Zhan, Fei Su, Zhicheng Zhao

  7123-7131

  2026-03-14

• Counterfactual Learning with General Data-Generating Policies

  Yusuke Narita, Kyohei Okumura, Akihiro Shimizu, Kohei Yata

  9286-9293

  2023-06-26

• Leveraging Contaminated Datasets to Learn Clean-Data Distribution with Purified Generative Adversarial Networks

  Bowen Tian, Qinliang Su, Jianxing Yu

  9989-9996

  2023-06-26

• Privacy Attacks on Schedule-Driven Data

  Stephan A. Fahrenkrog-Petersen, Arik Senderovich, Alexandra Tichauer, Ali Kaan Tutak, J. Christopher Beck, Matthias Weidlich

  11972-11979

  2023-06-26

• DyRRen: A Dynamic Retriever-Reranker-Generator Model for Numerical Reasoning over Tabular and Textual Data

  Xiao Li, Yin Zhu, Sichen Liu, Jiangzhou Ju, Yuzhong Qu, Gong Cheng

  13139-13147

  2023-06-26

• Bugs in the Data: How ImageNet Misrepresents Biodiversity

  Alexandra Sasha Luccioni, David Rolnick

  14382-14390

  2023-06-26

• Clustered Federated Learning for Heterogeneous Data (Student Abstract)

  Xue Yu, Ziyi Liu, Yifan Sun, Wu Wang

  16378-16379

  2024-07-15

• Fairness Issues and Mitigations in (Differentially Private) Socio-Demographic Data Processes

  Joonhyuk Ko, Juba Ziani, Saswat Das, Matt Williams, Ferdinando Fioretto

  28160-28167

  2025-04-11

• Causal Adversarial Perturbations for Individual Fairness and Robustness in Heterogeneous Data Spaces

  Ahmad-Reza Ehyaei, Kiarash Mohammadi, Amir-Hossein Karimi, Samira Samadi, Golnoosh Farnadi

  11847-11855

  2024-03-24

• Gaussian Graphical Modelling Without Independence Assumptions for Uncentered Data

  Bailey Andrew, David R. Westhead, Luisa Cutillo

  15391-15398

  2025-04-11

• Promoting Research Collaboration with Open Data Driven Team Recommendation in Response to Call for Proposals

  Siva Likitha Valluru, Biplav Srivastava, Sai Teja Paladi, Siwen Yan, Sriraam Natarajan

  22833-22841

  2024-03-24

• Creating Generalizable Data-Driven Approaches for Biodiversity Monitoring via Acoustics

  Thomas Napier

  41070-41071

  2026-03-14

• How Your Location Relates to Health: Variable Importance and Interpretable Machine Learning for Environmental and Sociodemographic Data

  Ishaan Maitra, Raymond Lin, Eric Chen, Jon Donnelly, Sanja Scepanovic, Cynthia Rudin

  28240-28248

  2025-04-11

• Investigating Social Bias Propagation in Federated Fine-tuning of Large Language Models

  Jiaxu Zhao, Meng Fang, Mingze Zhong, Shunfeng Zheng, Ling Chen, Mykola Pechenizkiy

  39637-39645

  2026-03-14

• Semi-Supervised Learning for Maximizing the Partial AUC

  Tomoharu Iwata, Akinori Fujino, Naonori Ueda

  4239-4246

  2020-04-03