Prompt-based Multi-interest Learning Method for Sequential Recommendation

par Dong, Xue
Publié dans: IEEE transactions on pattern analysis and machine intelligence (2025)

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

par Peng, Xiong
Publié dans: IEEE transactions on pattern analysis and machine intelligence (2025)

W-DOE Wasserstein Distribution-Agnostic Outlier Exposure

par Wang, Qizhou
Publié dans: IEEE transactions on pattern analysis and machine intelligence (2025)

Estimating Per-Class Statistics for Label Noise Learning

par Luo, Wenshui
Publié dans: IEEE transactions on pattern analysis and machine intelligence (2025)

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

par Lin, Yexiong
Publié dans: IEEE transactions on pattern analysis and machine intelligence (2025)

Improving Adversarial Training from the Perspective of Class-Flipping Distribution

par Zhou, Dawei
Publié dans: IEEE transactions on pattern analysis and machine intelligence (2025)

Tackling Noisy Labels With Network Parameter Additive Decomposition

par Wang, Jingyi
Publié dans: IEEE transactions on pattern analysis and machine intelligence (2024)

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

par Zhang, Jingfeng
Publié dans: IEEE transactions on pattern analysis and machine intelligence (2024)

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

par Li, Shikun
Publié dans: IEEE transactions on pattern analysis and machine intelligence (2024)

Regularly Truncated M-Estimators for Learning With Noisy Labels

par Xia, Xiaobo
Publié dans: IEEE transactions on pattern analysis and machine intelligence (2024)

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

par Wu, Songhua
Publié dans: IEEE transactions on pattern analysis and machine intelligence (2024)

Continual Learning From a Stream of APIs

par Yang, Enneng
Publié dans: IEEE transactions on pattern analysis and machine intelligence (2024)

Recent Advances for Quantum Neural Networks in Generative Learning

par Tian, Jinkai
Publié dans: IEEE transactions on pattern analysis and machine intelligence (2023)

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

par Xia, Xiaobo
Publié dans: IEEE transactions on pattern analysis and machine intelligence (2023)

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

par Guo, Xiaoqing
Publié dans: IEEE transactions on pattern analysis and machine intelligence (2023)

A Parametrical Model for Instance-Dependent Label Noise

par Yang, Shuo
Publié dans: IEEE transactions on pattern analysis and machine intelligence (2023)

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

par Wang, Hao
Publié dans: IEEE transactions on pattern analysis and machine intelligence (2022)

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

par Yang, Shuo
Publié dans: IEEE transactions on pattern analysis and machine intelligence (2022)

Exploring Language Hierarchy for Video Grounding

par Ding, Xinpeng
Publié dans: IEEE transactions on image processing : a publication of the IEEE Signal Processing Society (2022)

Heterogeneous Graph Attention Network for Unsupervised Multiple-Target Domain Adaptation

par Yang, Xu
Publié dans: IEEE transactions on pattern analysis and machine intelligence (2022)