Qi Yu

Venues

Frequent coauthors

Papers

1. Can We Ignore Labels in Out of Distribution Detection?
   ICLR 2025 ·

   Hong Yang

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2. GLEN: Generalized Focal Loss Ensemble of Low-Rank Networks for Calibrated Visual Question Answering
   AAAI 2025 ·

   Mahsa Mozaffari

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3. Hierarchical Multi-Source Uncertainty Aggregation for Interactive Video Captioning
   AAAI 2025 ·

   Ervine Zheng

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4. Learning State-Based Node Representations from a Class Hierarchy for Fine-Grained Open-Set Detection
   ICML 2025 ·

   Spandan Pyakurel

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5. Looking into User's Long-term Interests through the Lens of Conservative Evidential Learning
   ICLR 2025 ·

   Dingrong Wang

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6. Adaptive Important Region Selection with Reinforced Hierarchical Search for Dense Object Detection
   NeurIPS 2024 ·

   Dingrong Wang

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7. Balancing Feature Similarity and Label Variability for Optimal Size-Aware One-shot Subset Selection
   ICML 2024 ·

   Abhinab Acharya

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8. Be Confident in What You Know: Bayesian Parameter Efficient Fine-Tuning of Vision Foundation Models
   NeurIPS 2024 ·

   Deep Shankar Pandey

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9. Dual-Level Curriculum Meta-Learning for Noisy Few-Shot Learning Tasks
   AAAI 2024 ·

   Xiaofan Que

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10. Evidential Mixture Machines: Deciphering Multi-Label Correlations for Active Learning Sensitivity
    NeurIPS 2024 ·

    Dayou Yu

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11. Evidential Stochastic Differential Equations for Time-Aware Sequential Recommendation
    NeurIPS 2024 ·

    Krishna Prasad Neupane

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12. Hierarchical Novelty Detection via Fine-Grained Evidence Allocation
    ICML 2024 ·

    Spandan Pyakurel

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13. Meta Evidential Transformer for Few-Shot Open-Set Recognition
    ICML 2024 ·

    Hitesh Sapkota

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14. Optimal Transport of Diverse Unsupervised Tasks for Robust Learning from Noisy Few-Shot Data
    ECCV 2024 ·

    Xiaofan Que

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15. Reinforced Compressive Neural Architecture Search for Versatile Adversarial Robustness
    SIGKDD 2024 ·

    Dingrong Wang

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