Showing 1–20 of 22 results
/ Date/ Name
Jul 27, 2022Learning from Positive and Unlabeled Data with Augmented ClassesNov 19, 2022Complementary Labels Learning with Augmented ClassesNov 26, 2024Seeing the Undefined: Chain-of-Action for Generative Semantic LabelsJun 23, 2022InfoAT: Improving Adversarial Training Using the Information Bottleneck PrincipleMar 25, 2024Determined Multi-Label Learning via Similarity-Based PromptDec 3, 2024ESA: Example Sieve Approach for Multi-Positive and Unlabeled LearningFeb 24, 2026Are Multimodal Large Language Models Good Annotators for Image Tagging?Feb 18, 2019SEGAN: Structure-Enhanced Generative Adversarial Network for Compressed Sensing MRI ReconstructionSep 28, 2022Class-Imbalanced Complementary-Label Learning via Weighted LossJan 29, 2022Scale-Invariant Adversarial Attack for Evaluating and Enhancing Adversarial DefensesDec 24, 2020Improving the Certified Robustness of Neural Networks via Consistency RegularizationMar 5, 2021Towards Evaluating the Robustness of Deep Diagnostic Models by Adversarial AttackDec 20, 2023Multi-label Learning from Privacy-LabelApr 7, 2022Low-Dose CT Denoising via Sinogram Inner-Structure TransformerDec 3, 2024Learning from Concealed LabelsMay 24, 2024Learning from True-False Labels via Multi-modal Prompt RetrievingJul 26, 2025Deep Learning Based Joint Channel Estimation and Positioning for Sparse XL-MIMO OFDM SystemsFeb 1, 2023Learning from Stochastic LabelsNov 12, 2025Human-Corrected Labels Learning: Enhancing Labels Quality via Human Correction of VLMs DiscrepanciesMar 25, 2024Learning from Reduced Labels for Long-Tailed Data