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Piotr Koniusz
31 papers at tracked venues · 26 at CORE A* · active 2024–2026
DBLP profile ↗
ORCID 0000-0002-6340-5289 ↗
Homepage ↗
Venues
NeurIPS
×7
CVPR
×6
AAAI
×3
ECCV
×3
SIGKDD
×3
ICLR
×2
ICML
×2
WWW
×2
AISTATS
×1
ICCV
×1
WSDM
×1
Frequent coauthors
Junhao Dong
×10
Hao Zhu
×9
Yew-Soon Ong
×8
Yifei Zhang
×7
Lei Wang
×5
Xinghua Qu
×5
Yao Ni
×4
Shan Zhang
×3
Junxi Chen
×3
Xi Ding
×2
Yongsheng Gao
×2
Daniel M. Steinberg
×2
Papers
Feature Hallucination for Self-supervised Action Recognition (Abstract Reprint)
BibTeX ⧉
AAAI 2026
·
Lei Wang
,
Piotr Koniusz
Learning Time in Static Classifiers
BibTeX ⧉
AAAI 2026
·
Xi Ding
,
Lei Wang
,
Piotr Koniusz
,
Yongsheng Gao
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
BibTeX ⧉
NeurIPS 2025
·
Danielle Belgrave
,
Cheng Zhang
,
Laura N. Montoya
,
Hsuan-Tien Lin
,
Razvan Pascanu
,
Piotr Koniusz
,
Marzyeh Ghassemi
,
Nancy Chen
,
Iván Vladimir Meza Ruíz
,
Arturo Loaiza-Bonilla
Amortized Active Generation of Pareto Sets
BibTeX ⧉
NeurIPS 2025
·
Daniel M. Steinberg
,
Asiri Wijesinghe
,
Rafael Oliveira
,
Piotr Koniusz
,
Cheng Soon Ong
,
Edwin V. Bonilla
BiLoRA: Almost-Orthogonal Parameter Spaces for Continual Learning
BibTeX ⧉
CVPR 2025
·
Hao Zhu
,
Yifei Zhang
,
Junhao Dong
,
Piotr Koniusz
CrossSpectra: Exploiting Cross-Layer Smoothness for Parameter-Efficient Fine-Tuning
BibTeX ⧉
NeurIPS 2025
·
Yifei Zhang
,
Hao Zhu
,
Junhao Dong
,
Haoran Shi
,
Ziqiao Meng
,
Piotr Koniusz
,
Han Yu
Graph Self-Supervised Learning with Learnable Structural and Positional Encodings
BibTeX ⧉
WWW 2025
·
Asiri Wijesinghe
,
Hao Zhu
,
Piotr Koniusz
Graph Your Own Prompt
BibTeX ⧉
NeurIPS 2025
·
Xi Ding
,
Lei Wang
,
Piotr Koniusz
,
Yongsheng Gao
Improving Zero-Shot Adversarial Robustness in Vision-Language Models by Closed-form Alignment of Adversarial Path Simplices
BibTeX ⧉
ICML 2025
·
Junhao Dong
,
Piotr Koniusz
,
Yifei Zhang
,
Hao Zhu
,
Weiming Liu
,
Xinghua Qu
,
Yew-Soon Ong
Inductive Graph Few-shot Class Incremental Learning
BibTeX ⧉
WSDM 2025
·
Yayong Li
,
Peyman Moghadam
,
Can Peng
,
Nan Ye
,
Piotr Koniusz
Learnable Expansion of Graph Operators for Multi-Modal Feature Fusion
BibTeX ⧉
ICLR 2025
·
Dexuan Ding
,
Lei Wang
,
Liyun Zhu
,
Tom Gedeon
,
Piotr Koniusz
Machine Unlearning via Task Simplex Arithmetic
BibTeX ⧉
NeurIPS 2025
·
Junhao Dong
,
Hao Zhu
,
Yifei Zhang
,
Xinghua Qu
,
Yew Soon Ong
,
Piotr Koniusz
Noise Consistency Regularization for Improved Subject-Driven Image Synthesis
BibTeX ⧉
CVPR 2025
·
Yao Ni
,
Song Wen
,
Piotr Koniusz
,
Anoop Cherian
Open-World Objectness Modeling Unifies Novel Object Detection
BibTeX ⧉
CVPR 2025
·
Shan Zhang
,
Yao Ni
,
Jinhao Du
,
Yuan Xue
,
Philip Torr
,
Piotr Koniusz
,
Anton van den Hengel
Primitive Vision: Improving Diagram Understanding in MLLMs
BibTeX ⧉
ICML 2025
·
Shan Zhang
,
Aotian Chen
,
Yanpeng Sun
,
Jindong Gu
,
Yi-Yu Zheng
,
Piotr Koniusz
,
Kai Zou
,
Anton van den Hengel
,
Yuan Xue
Protein Fitness Landscape: Spectral Graph Theory Perspective
BibTeX ⧉
AISTATS 2025
·
Hao Zhu
,
Daniel M. Steinberg
,
Piotr Koniusz
Robust SuperAlignment: Weak-to-Strong Robustness Generalization for Vision-Language Models
BibTeX ⧉
NeurIPS 2025
·
Junhao Dong
,
Cong Zhang
,
Xinghua Qu
,
Zejun Ma
,
Piotr Koniusz
,
Yew Soon Ong
Robustifying Zero-Shot Vision Language Models by Subspaces Alignment
BibTeX ⧉
ICCV 2025
·
Junhao Dong
,
Piotr Koniusz
,
Liaoyuan Feng
,
Yifei Zhang
,
Hao Zhu
,
Weiming Liu
,
Xinghua Qu
,
Yew-Soon Ong
Stabilizing Modality Gap & Lowering Gradient Norms Improve Zero-Shot Adversarial Robustness of VLMs
BibTeX ⧉
SIGKDD 2025
·
Junhao Dong
,
Piotr Koniusz
,
Xinghua Qu
,
Yew-Soon Ong
Understanding and Mitigating Hyperbolic Dimensional Collapse in Graph Contrastive Learning
BibTeX ⧉
SIGKDD 2025
·
Yifei Zhang
,
Hao Zhu
,
Menglin Yang
,
Jiahong Liu
,
Rex Ying
,
Irwin King
,
Piotr Koniusz
WWW 2025 Workshop Chairs' Welcome
BibTeX ⧉
WWW 2025
·
Piotr Koniusz
,
Weizhi Ma
$\bigcirc\!\!\!\!\bigcirc$ CHAIN: Enhancing Generalization in Data-Efficient GANs via LipsCHitz Continuity ConstrAIned Normalization
BibTeX ⧉
CVPR 2024
·
Yao Ni
,
Piotr Koniusz
Adaptive Multi-head Contrastive Learning
BibTeX ⧉
ECCV 2024
·
Lei Wang
,
Piotr Koniusz
,
Tom Gedeon
,
Liang Zheng
Adversarially Robust Distillation by Reducing the Student-Teacher Variance Gap
BibTeX ⧉
ECCV 2024
·
Junhao Dong
,
Piotr Koniusz
,
Junxi Chen
,
Yew-Soon Ong
Adversarially Robust Few-shot Learning via Parameter Co-distillation of Similarity and Class Concept Learners
BibTeX ⧉
CVPR 2024
·
Junhao Dong
,
Piotr Koniusz
,
Junxi Chen
,
Xiaohua Xie
,
Yew-Soon Ong
Detect Any Keypoints: An Efficient Light-Weight Few-Shot Keypoint Detector
BibTeX ⧉
AAAI 2024
·
Changsheng Lu
,
Piotr Koniusz
Geometric View of Soft Decorrelation in Self-Supervised Learning
BibTeX ⧉
SIGKDD 2024
·
Yifei Zhang
,
Hao Zhu
,
Zixing Song
,
Yankai Chen
,
Xinyu Fu
,
Ziqiao Meng
,
Piotr Koniusz
,
Irwin King
OpenKD: Opening Prompt Diversity for Zero- and Few-Shot Keypoint Detection
BibTeX ⧉
ECCV 2024
·
Changsheng Lu
,
Zheyuan Liu
,
Piotr Koniusz
PACE: Marrying generalization in PArameter-efficient fine-tuning with Consistency rEgularization
BibTeX ⧉
NeurIPS 2024
·
Yao Ni
,
Shan Zhang
,
Piotr Koniusz
Pre-training with Random Orthogonal Projection Image Modeling
BibTeX ⧉
ICLR 2024
·
Maryam Haghighat
,
Peyman Moghadam
,
Shaheer Mohamed
,
Piotr Koniusz
Robust Distillation via Untargeted and Targeted Intermediate Adversarial Samples
BibTeX ⧉
CVPR 2024
·
Junhao Dong
,
Piotr Koniusz
,
Junxi Chen
,
Z. Jane Wang
,
Yew-Soon Ong