Piotr Koniusz

Venues

Frequent coauthors

Papers

1. Feature Hallucination for Self-supervised Action Recognition (Abstract Reprint)
   AAAI 2026 ·

   Lei Wang

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2. Learning Time in Static Classifiers
   AAAI 2026 ·

   Xi Ding

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3. Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, NeurIPS 2025, San Diego, CA, USA, December 2-7, 2025 / Mexico City, Mexico, November 30 - December 5, 2025
   NeurIPS 2025 ·

   Danielle Belgrave

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4. Amortized Active Generation of Pareto Sets
   NeurIPS 2025 ·

   Daniel M. Steinberg

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5. BiLoRA: Almost-Orthogonal Parameter Spaces for Continual Learning
   CVPR 2025 ·

   Hao Zhu

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6. CrossSpectra: Exploiting Cross-Layer Smoothness for Parameter-Efficient Fine-Tuning
   NeurIPS 2025 ·

   Yifei Zhang

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7. Graph Self-Supervised Learning with Learnable Structural and Positional Encodings
   WWW 2025 ·

   Asiri Wijesinghe

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8. Graph Your Own Prompt
   NeurIPS 2025 ·

   Xi Ding

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9. Improving Zero-Shot Adversarial Robustness in Vision-Language Models by Closed-form Alignment of Adversarial Path Simplices
   ICML 2025 ·

   Junhao Dong

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10. Inductive Graph Few-shot Class Incremental Learning
    WSDM 2025 ·

    Yayong Li

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11. Learnable Expansion of Graph Operators for Multi-Modal Feature Fusion
    ICLR 2025 ·

    Dexuan Ding

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12. Machine Unlearning via Task Simplex Arithmetic
    NeurIPS 2025 ·

    Junhao Dong

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13. Noise Consistency Regularization for Improved Subject-Driven Image Synthesis
    CVPR 2025 ·

    Yao Ni

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14. Open-World Objectness Modeling Unifies Novel Object Detection
    CVPR 2025 ·

    Shan Zhang

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15. Primitive Vision: Improving Diagram Understanding in MLLMs
    ICML 2025 ·

    Shan Zhang

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16. Protein Fitness Landscape: Spectral Graph Theory Perspective
    AISTATS 2025 ·

    Hao Zhu

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17. Robust SuperAlignment: Weak-to-Strong Robustness Generalization for Vision-Language Models
    NeurIPS 2025 ·

    Junhao Dong

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18. Robustifying Zero-Shot Vision Language Models by Subspaces Alignment
    ICCV 2025 ·

    Junhao Dong

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19. Stabilizing Modality Gap & Lowering Gradient Norms Improve Zero-Shot Adversarial Robustness of VLMs
    SIGKDD 2025 ·

    Junhao Dong

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20. Understanding and Mitigating Hyperbolic Dimensional Collapse in Graph Contrastive Learning
    SIGKDD 2025 ·

    Yifei Zhang

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21. WWW 2025 Workshop Chairs' Welcome
    WWW 2025 · Piotr Koniusz
22. $\bigcirc\!\!\!\!\bigcirc$ CHAIN: Enhancing Generalization in Data-Efficient GANs via LipsCHitz Continuity ConstrAIned Normalization
    CVPR 2024 ·

    Yao Ni

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23. Adaptive Multi-head Contrastive Learning
    ECCV 2024 ·

    Lei Wang

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24. Adversarially Robust Distillation by Reducing the Student-Teacher Variance Gap
    ECCV 2024 ·

    Junhao Dong

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25. Adversarially Robust Few-shot Learning via Parameter Co-distillation of Similarity and Class Concept Learners
    CVPR 2024 ·

    Junhao Dong

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26. Detect Any Keypoints: An Efficient Light-Weight Few-Shot Keypoint Detector
    AAAI 2024 ·

    Changsheng Lu

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27. Geometric View of Soft Decorrelation in Self-Supervised Learning
    SIGKDD 2024 ·

    Yifei Zhang

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28. OpenKD: Opening Prompt Diversity for Zero- and Few-Shot Keypoint Detection
    ECCV 2024 ·

    Changsheng Lu

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29. PACE: Marrying generalization in PArameter-efficient fine-tuning with Consistency rEgularization
    NeurIPS 2024 ·

    Yao Ni

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30. Pre-training with Random Orthogonal Projection Image Modeling
    ICLR 2024 ·

    Maryam Haghighat

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31. Robust Distillation via Untargeted and Targeted Intermediate Adversarial Samples
    CVPR 2024 ·

    Junhao Dong

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