20 results on '"Zitai Wang"'
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2. ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection.
3. Harnessing Hierarchical Label Distribution Variations in Test Agnostic Long-tail Recognition.
4. When Measures are Unreliable: Imperceptible Adversarial Perturbations toward Top-k Multi-Label Learning.
5. Not All Diffusion Model Activations Have Been Evaluated as Discriminative Features.
6. Suppress Content Shift: Better Diffusion Features via Off-the-Shelf Generation Techniques.
7. Top-K Pairwise Ranking: Bridging the Gap Among Ranking-Based Measures for Multi-Label Classification.
8. HGOE: Hybrid External and Internal Graph Outlier Exposure for Graph Out-of-Distribution Detection.
9. Harnessing Hierarchical Label Distribution Variations in Test Agnostic Long-tail Recognition.
10. Optimizing Partial Area Under the Top-k Curve: Theory and Practice.
11. Confederated Learning: Going Beyond Centralization.
12. A Unified Generalization Analysis of Re-Weighting and Logit-Adjustment for Imbalanced Learning.
13. When Measures are Unreliable: Imperceptible Adversarial Perturbations toward Top-k Multi-Label Learning.
14. A Unified Generalization Analysis of Re-Weighting and Logit-Adjustment for Imbalanced Learning.
15. ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection.
16. Implicit Feedbacks are Not Always Favorable: Iterative Relabeled One-Class Collaborative Filtering against Noisy Interactions.
17. OpenAUC: Towards AUC-Oriented Open-Set Recognition.
18. OpenAUC: Towards AUC-Oriented Open-Set Recognition.
19. Optimizing Partial Area Under the Top-k Curve: Theory and Practice.
20. Adversarial Preference Learning with Pairwise Comparisons.
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