Saved in:
| Main Authors: | Peng, Ningkang, Shao, Kun, Mao, Jingyang, Qian, Linjing, Peng, Xiaoqian, Yang, Xichen, Gu, Yanhui |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2602.06331 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Breaking Semantic Hegemony: Decoupling Principal and Residual Subspaces for Generalized OOD Detection
by: Peng, Ningkang, et al.
Published: (2026)
by: Peng, Ningkang, et al.
Published: (2026)
HamBR: Active Decision Boundary Restoration Based on Hamiltonian Dynamics for Learning with Noisy Labels
by: Peng, Ningkang, et al.
Published: (2026)
by: Peng, Ningkang, et al.
Published: (2026)
GAMR: Geometric-Aware Manifold Regularization with Virtual Outlier Synthesis for Learning with Noisy Labels
by: Peng, Ningkang, et al.
Published: (2026)
by: Peng, Ningkang, et al.
Published: (2026)
How to Achieve Prototypical Birth and Death for OOD Detection?
by: Peng, Ningkang, et al.
Published: (2026)
by: Peng, Ningkang, et al.
Published: (2026)
Radial-Angular Geometry for Reliable Update Diagnosis in Noisy-Label Learning
by: Peng, Ningkang, et al.
Published: (2026)
by: Peng, Ningkang, et al.
Published: (2026)
Holistic Reliability Propagation: Decoupling Annotation and Prediction for Robust Noisy-Label
by: Mao, Jingyang, et al.
Published: (2026)
by: Mao, Jingyang, et al.
Published: (2026)
Halt the Hallucination: Decoupling Signal and Semantic OOD Detection Based on Cascaded Early Rejection
by: Peng, Ningkang, et al.
Published: (2026)
by: Peng, Ningkang, et al.
Published: (2026)
Is Complex Training Necessary for Long-Tailed OOD Detection? A Re-think from Feature Geometry
by: Peng, Ningkang, et al.
Published: (2026)
by: Peng, Ningkang, et al.
Published: (2026)
When Accuracy Is Not Enough: Uncertainty Collapse between Noisy Label Learning and Out-of-Distribution Detection
by: Peng, Ningkang, et al.
Published: (2026)
by: Peng, Ningkang, et al.
Published: (2026)
VMF-GOS: Geometry-guided virtual Outlier Synthesis for Long-Tailed OOD Detection
by: Peng, Ningkang, et al.
Published: (2026)
by: Peng, Ningkang, et al.
Published: (2026)
Learning with Adaptive Prototype Manifolds for Out-of-Distribution Detection
by: Peng, Ningkang, et al.
Published: (2026)
by: Peng, Ningkang, et al.
Published: (2026)
Early High-Frequency Injection for Geometry-Sensitive OOD Detection
by: Cheng, Chuanjie, et al.
Published: (2026)
by: Cheng, Chuanjie, et al.
Published: (2026)
PIS: A Physics-Informed System for Accurate State Partitioning of $Aβ_{42}$ Protein Trajectories
by: Yu, Qianfeng, et al.
Published: (2026)
by: Yu, Qianfeng, et al.
Published: (2026)
A Multi-dimensional Semantic Surprise Framework Based on Low-Entropy Semantic Manifolds for Fine-Grained Out-of-Distribution Detection
by: Peng, Ningkang, et al.
Published: (2025)
by: Peng, Ningkang, et al.
Published: (2025)
Detection of algal tiny objects based on morphological features
by: Shuai Yuan, et al.
Published: (2024)
by: Shuai Yuan, et al.
Published: (2024)
Don't Blind Your VLA: Aligning Visual Representations for OOD Generalization
by: Kachaev, Nikita, et al.
Published: (2025)
by: Kachaev, Nikita, et al.
Published: (2025)
Don't Collapse Your Features: Why CenterLoss Hurts OOD Detection and Multi-Scale Mahalanobis Wins
by: Ray, Rahul D
Published: (2026)
by: Ray, Rahul D
Published: (2026)
Don't Forget It! Conditional Sparse Autoencoder Clamping Works for Unlearning
by: Khoriaty, Matthew, et al.
Published: (2025)
by: Khoriaty, Matthew, et al.
Published: (2025)
$Δ\mathrm{Energy}$: Optimizing Energy Change During Vision-Language Alignment Improves both OOD Detection and OOD Generalization
by: Zhu, Lin, et al.
Published: (2025)
by: Zhu, Lin, et al.
Published: (2025)
Don't Forget Too Much: Towards Machine Unlearning on Feature Level
by: Xu, Heng, et al.
Published: (2024)
by: Xu, Heng, et al.
Published: (2024)
Don't Walk the Line: Boundary Guidance for Filtered Generation
by: Ball, Sarah, et al.
Published: (2025)
by: Ball, Sarah, et al.
Published: (2025)
Don't Half-listen: Capturing Key-part Information in Continual Instruction Tuning
by: He, Yongquan, et al.
Published: (2024)
by: He, Yongquan, et al.
Published: (2024)
Don't Lag, RAG: Training-Free Adversarial Detection Using RAG
by: Kazoom, Roie, et al.
Published: (2025)
by: Kazoom, Roie, et al.
Published: (2025)
(Don't) Mind the Gap
by: Frank, Natalie Priebe, et al.
Published: (2025)
by: Frank, Natalie Priebe, et al.
Published: (2025)
Affordance-First Decomposition for Continual Learning in Video-Language Understanding
by: Xu, Mengzhu, et al.
Published: (2025)
by: Xu, Mengzhu, et al.
Published: (2025)
Don't Run with Scissors: Pruning Breaks VLA Models but They Can Be Recovered
by: Jabbour, Jason, et al.
Published: (2025)
by: Jabbour, Jason, et al.
Published: (2025)
Frictional Agent Alignment Framework: Slow Down and Don't Break Things
by: Nath, Abhijnan, et al.
Published: (2025)
by: Nath, Abhijnan, et al.
Published: (2025)
Don't be salesmen
Published: (1997)
Published: (1997)
Dos and Don'ts When Seeking Free Printing
Published: (2024)
Published: (2024)
Don't Freeze, Don't Crash: Extending the Safe Operating Range of Neural Navigation in Dense Crowds
by: Zhang, Jiefu, et al.
Published: (2026)
by: Zhang, Jiefu, et al.
Published: (2026)
Don't Break the Cache: An Evaluation of Prompt Caching for Long-Horizon Agentic Tasks
by: Lumer, Elias, et al.
Published: (2026)
by: Lumer, Elias, et al.
Published: (2026)
LLMs Don't Know Their Own Decision Boundaries: The Unreliability of Self-Generated Counterfactual Explanations
by: Mayne, Harry, et al.
Published: (2025)
by: Mayne, Harry, et al.
Published: (2025)
Don't Forget the Critic: Value-Based Data Rehearsal for Multi-Cyclic Continual Reinforcement Learning
by: Poole, Benjamin, et al.
Published: (2026)
by: Poole, Benjamin, et al.
Published: (2026)
Don't Trust: Verify -- Grounding LLM Quantitative Reasoning with Autoformalization
by: Zhou, Jin Peng, et al.
Published: (2024)
by: Zhou, Jin Peng, et al.
Published: (2024)
Don’t Burn it Here
by: Walsh, Ed, et al.
Published: (2026)
by: Walsh, Ed, et al.
Published: (2026)
Don't Look Away
by: Cohen, Brianne
Published: (2023)
by: Cohen, Brianne
Published: (2023)
Similar Items
-
Breaking Semantic Hegemony: Decoupling Principal and Residual Subspaces for Generalized OOD Detection
by: Peng, Ningkang, et al.
Published: (2026) -
HamBR: Active Decision Boundary Restoration Based on Hamiltonian Dynamics for Learning with Noisy Labels
by: Peng, Ningkang, et al.
Published: (2026) -
GAMR: Geometric-Aware Manifold Regularization with Virtual Outlier Synthesis for Learning with Noisy Labels
by: Peng, Ningkang, et al.
Published: (2026) -
How to Achieve Prototypical Birth and Death for OOD Detection?
by: Peng, Ningkang, et al.
Published: (2026) -
Radial-Angular Geometry for Reliable Update Diagnosis in Noisy-Label Learning
by: Peng, Ningkang, et al.
Published: (2026)