Prompt-based Multi-interest Learning Method for Sequential Recommendation

von Dong, Xue
Veröffentlicht in: IEEE transactions on pattern analysis and machine intelligence (2025)

Estimating Per-Class Statistics for Label Noise Learning

von Luo, Wenshui
Veröffentlicht in: IEEE transactions on pattern analysis and machine intelligence (2025)

Unknown-Aware Bilateral Dependency Optimization for Defending Against Model Inversion Attacks

von Peng, Xiong
Veröffentlicht in: IEEE transactions on pattern analysis and machine intelligence (2025)

W-DOE Wasserstein Distribution-Agnostic Outlier Exposure

von Wang, Qizhou
Veröffentlicht in: IEEE transactions on pattern analysis and machine intelligence (2025)

Improving Adversarial Training from the Perspective of Class-Flipping Distribution

von Zhou, Dawei
Veröffentlicht in: IEEE transactions on pattern analysis and machine intelligence (2025)

Improving the Instance-Dependent Transition Matrix Estimation by Exploiting Self-Supervised Learning

von Lin, Yexiong
Veröffentlicht in: IEEE transactions on pattern analysis and machine intelligence (2025)

BadLabel A Robust Perspective on Evaluating and Enhancing Label-Noise Learning

von Zhang, Jingfeng
Veröffentlicht in: IEEE transactions on pattern analysis and machine intelligence (2024)

Tackling Noisy Labels With Network Parameter Additive Decomposition

von Wang, Jingyi
Veröffentlicht in: IEEE transactions on pattern analysis and machine intelligence (2024)

Transferring Annotator- and Instance-Dependent Transition Matrix for Learning From Crowds

von Li, Shikun
Veröffentlicht in: IEEE transactions on pattern analysis and machine intelligence (2024)

A Time-Consistency Curriculum for Learning From Instance-Dependent Noisy Labels

von Wu, Songhua
Veröffentlicht in: IEEE transactions on pattern analysis and machine intelligence (2024)

Continual Learning From a Stream of APIs

von Yang, Enneng
Veröffentlicht in: IEEE transactions on pattern analysis and machine intelligence (2024)

Regularly Truncated M-Estimators for Learning With Noisy Labels

von Xia, Xiaobo
Veröffentlicht in: IEEE transactions on pattern analysis and machine intelligence (2024)

Extended T Learning With Mixed Closed-Set and Open-Set Noisy Labels

von Xia, Xiaobo
Veröffentlicht in: IEEE transactions on pattern analysis and machine intelligence (2023)

Recent Advances for Quantum Neural Networks in Generative Learning

von Tian, Jinkai
Veröffentlicht in: IEEE transactions on pattern analysis and machine intelligence (2023)

Handling Open-Set Noise and Novel Target Recognition in Domain Adaptive Semantic Segmentation

von Guo, Xiaoqing
Veröffentlicht in: IEEE transactions on pattern analysis and machine intelligence (2023)

A Parametrical Model for Instance-Dependent Label Noise

von Yang, Shuo
Veröffentlicht in: IEEE transactions on pattern analysis and machine intelligence (2023)

Exploring Language Hierarchy for Video Grounding

von Ding, Xinpeng
Veröffentlicht in: IEEE transactions on image processing : a publication of the IEEE Signal Processing Society (2022)

Bridging the Gap Between Few-Shot and Many-Shot Learning via Distribution Calibration

von Yang, Shuo
Veröffentlicht in: IEEE transactions on pattern analysis and machine intelligence (2022)

Heterogeneous Graph Attention Network for Unsupervised Multiple-Target Domain Adaptation

von Yang, Xu
Veröffentlicht in: IEEE transactions on pattern analysis and machine intelligence (2022)

Transferable Coupled Network for Zero-Shot Sketch-Based Image Retrieval

von Wang, Hao
Veröffentlicht in: IEEE transactions on pattern analysis and machine intelligence (2022)