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• An Adaptive Layer to Leverage Both Domain and Task Specific Information from Scarce Data

  Gaël Guibon, Matthieu Labeau, Luce Lefeuvre, Chloé Clavel

  7757-7765

  2023-06-26

• ShapeBoost: Boosting Human Shape Estimation with Part-Based Parameterization and Clothing-Preserving Augmentation

  Siyuan Bian, Jiefeng Li, Jiasheng Tang, Cewu Lu

  828-836

  2024-03-24

• Adversity-aware Few-shot Named Entity Recognition via Augmentation Learning

  Li Huang, Haowen Liu, Qiang Gao, Jiajing Yu, Guisong Liu, Xueqin Chen

  24132-24140

  2025-04-11

• Attention Biasing and Context Augmentation for Zero-Shot Control of Encoder-Decoder Transformers for Natural Language Generation

  Devamanyu Hazarika, Mahdi Namazifar, Dilek Hakkani-Tür

  10738-10748

  2022-06-28

• AugRefer: Advancing 3D Visual Grounding via Cross-Modal Augmentation and Spatial Relation-based Referring

  Xinyi Wang, Na Zhao, Zhiyuan Han, Dan Guo, Xun Yang

  8006-8014

  2025-04-11

• A Comprehensive Augmentation Framework for Anomaly Detection

  Jiang Lin, Yaping Yan

  8742-8749

  2024-03-24

• Multi-Class Support Vector Machine with Maximizing Minimum Margin

  Feiping Nie, Zhezheng Hao, Rong Wang

  14466-14473

  2024-03-24

• Logical Foundations of Privacy-Preserving Publishing of Linked Data

  Bernardo Cuenca Grau, Egor Kostylev

  2016-02-21

• An Entity-Aware Adversarial Domain Adaptation Network for Cross-Domain Named Entity Recognition (Student Abstract)

  Qi Peng, Changmeng Zheng, Yi Cai, Tao Wang, Haoran Xie, Qing Li

  15865-15866

  2021-05-18

• Towards Building ASR Systems for the Next Billion Users

  Tahir Javed, Sumanth Doddapaneni, Abhigyan Raman, Kaushal Santosh Bhogale, Gowtham Ramesh, Anoop Kunchukuttan, Pratyush Kumar, Mitesh M. Khapra

  10813-10821

  2022-06-28

• Little Is Enough: Boosting Privacy by Sharing Only Hard Labels in Federated Semi-Supervised Learning

  Amr Abourayya, Jens Kleesiek, Kanishka Rao, Erman Ayday, Bharat Rao, Geoffrey I. Webb, Michael Kamp

  15293-15301

  2025-04-11

• DCHM: Dynamic Collaboration of Heterogeneous Models Through Isomerism Learning in a Blockchain-Powered Federated Learning Framework

  Zhihao Hao, Bob Zhang, Haisheng Li

  17077-17084

  2025-04-11

• icsPLMs: Exploring Pre-trained Language Models in Intelligent Customer Service (Student Abstract)

  Shixuan Liu, Chao Wang, Shuangyong Song

  23565-23566

  2024-03-24

• Learning with Group Noise

  Qizhou Wang, Jiangchao Yao, Chen Gong, Tongliang Liu, Mingming Gong, Hongxia Yang, Bo Han

  10192-10200

  2021-05-18

• SpecQuant: Spectral Decomposition and Adaptive Truncation for Ultra-Low-Bit LLMs Quantization

  Zhixiong Zhao, Fangxin Liu, Junjie Wang, Chenyang Guan, Zongwu Wang, Li Jiang, Haibing Guan

  28786-28794

  2026-03-14

• Extracting Low-/High- Frequency Knowledge from Graph Neural Networks and Injecting It into MLPs: An Effective GNN-to-MLP Distillation Framework

  Lirong Wu, Haitao Lin, Yufei Huang, Tianyu Fan, Stan Z. Li

  10351-10360

  2023-06-26

• A Multivariate Timeseries Modeling Approach to Severity of Illness Assessment and Forecasting in ICU with Sparse, Heterogeneous Clinical Data

  Marzyeh Ghassemi, Marco Pimentel, Tristan Naumann, Thomas Brennan, David Clifton, Peter Szolovits, Mengling Feng

  2015-02-10

• Unsupervised Adversarially Robust Representation Learning on Graphs

  Jiarong Xu, Yang Yang, Junru Chen, Xin Jiang, Chunping Wang, Jiangang Lu, Yizhou Sun

  4290-4298

  2022-06-28

• Learning a Wavelet-Like Auto-Encoder to Accelerate Deep Neural Networks

  Tianshui Chen, Liang Lin, Wangmeng Zuo, Xiaonan Luo, Lei Zhang

  2018-04-27

• SimFair: A Unified Framework for Fairness-Aware Multi-Label Classification

  Tianci Liu, Haoyu Wang, Yaqing Wang, Xiaoqian Wang, Lu Su, Jing Gao

  14338-14346

  2023-06-26

• Conditional Synthetic Data Generation for Robust Machine Learning Applications with Limited Pandemic Data

  Hari Prasanna Das, Ryan Tran, Japjot Singh, Xiangyu Yue, Geoffrey Tison, Alberto Sangiovanni-Vincentelli, Costas J. Spanos

  11792-11800

  2022-06-28

• Integrating Static and Dynamic Data for Improved Prediction of Cognitive Declines Using Augmented Genotype-Phenotype Representations

  Hoon Seo, Lodewijk Brand, Hua Wang, Feiping Nie

  522-530

  2021-05-18

• Motif-aware Graph Neural Networks for Networked Time Series Imputation

  Nourhan Ahmed, Vijaya Krishna Yalavarthi, Lars Schmidt-Thieme

  11409-11417

  2025-04-11

• HePa: Heterogeneous Graph Prompting for All-Level Classification Tasks

  Jia Jinghong, Lei Song, Jiaxing Li, Youyong Kong

  11915-11923

  2025-04-11

• Exact Inference for Continuous-Time Gaussian Process Dynamics

  Katharina Ensinger, Nicholas Tagliapietra , Sebastian Ziesche, Sebastian Trimpe

  11883-11891

  2024-03-24