Adaptive Scoring and Thresholding with Human Feedback for Robust Out-of-Distribution Detection
Fuente:
arXiv
Saved in:
| Main Authors: | Yamada, Daisuke, Vishwakarma, Harit, Vinayak, Ramya Korlakai |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Taming False Positives in Out-of-Distribution Detection with Human Feedback
by: Vishwakarma, Harit, et al.
Published: (2024)
by: Vishwakarma, Harit, et al.
Published: (2024)
Promises and Pitfalls of Threshold-based Auto-labeling
by: Vishwakarma, Harit, et al.
Published: (2022)
by: Vishwakarma, Harit, et al.
Published: (2022)
Pearls from Pebbles: Improved Confidence Functions for Auto-labeling
by: Vishwakarma, Harit, et al.
Published: (2024)
by: Vishwakarma, Harit, et al.
Published: (2024)
Metric Learning in an RKHS
by: Tatli, Gokcan, et al.
Published: (2025)
by: Tatli, Gokcan, et al.
Published: (2025)
Is Conformal Factuality for RAG-based LLMs Robust? Novel Metrics and Systematic Insights
by: Chen, Yi, et al.
Published: (2026)
by: Chen, Yi, et al.
Published: (2026)
OTTER: Effortless Label Distribution Adaptation of Zero-shot Models
by: Shin, Changho, et al.
Published: (2024)
by: Shin, Changho, et al.
Published: (2024)
Time To Impeach LLM-as-a-Judge: Programs are the Future of Evaluation
by: Huang, Tzu-Heng, et al.
Published: (2025)
by: Huang, Tzu-Heng, et al.
Published: (2025)
Thresholded Lexicographic Ordered Multiobjective Reinforcement Learning
by: Tercan, Alperen, et al.
Published: (2024)
by: Tercan, Alperen, et al.
Published: (2024)
Bridging Lifelong and Multi-Task Representation Learning via Algorithm and Complexity Measure
by: Wang, Zhi, et al.
Published: (2025)
by: Wang, Zhi, et al.
Published: (2025)
Metric Learning from Limited Pairwise Preference Comparisons
by: Wang, Zhi, et al.
Published: (2024)
by: Wang, Zhi, et al.
Published: (2024)
GRASP: Graph Agentic Search over Propositions for Multi-hop Question Answering
by: Jenkins, Stockton, et al.
Published: (2026)
by: Jenkins, Stockton, et al.
Published: (2026)
Multi-Layer Confidence Scoring for Detection of Out-of-Distribution Samples, Adversarial Attacks, and In-Distribution Misclassifications
by: Capelli, Lorenzo, et al.
Published: (2025)
by: Capelli, Lorenzo, et al.
Published: (2025)
Prune 'n Predict: Optimizing LLM Decision-making with Conformal Prediction
by: Vishwakarma, Harit, et al.
Published: (2024)
by: Vishwakarma, Harit, et al.
Published: (2024)
Learning from Less: Measuring the Effectiveness of RLVR in Low Data and Compute Regimes
by: Bauer, Justin, et al.
Published: (2026)
by: Bauer, Justin, et al.
Published: (2026)
Causal Spherical Hypergraph Networks for Modelling Social Uncertainty
by: Harit, Anoushka, et al.
Published: (2025)
by: Harit, Anoushka, et al.
Published: (2025)
Distributionally Robust Reinforcement Learning with Human Feedback
by: Mandal, Debmalya, et al.
Published: (2025)
by: Mandal, Debmalya, et al.
Published: (2025)
Adaptive Dual-Weighting Framework for Federated Learning via Out-of-Distribution Detection
by: Ling, Zhiwei, et al.
Published: (2026)
by: Ling, Zhiwei, et al.
Published: (2026)
Pseudo-label Induced Subspace Representation Learning for Robust Out-of-Distribution Detection
by: Azad, Tarhib Al, et al.
Published: (2025)
by: Azad, Tarhib Al, et al.
Published: (2025)
Score-based Conditional Out-of-Distribution Augmentation for Graph Covariate Shift
by: Wang, Bohan, et al.
Published: (2024)
by: Wang, Bohan, et al.
Published: (2024)
PAL: Pluralistic Alignment Framework for Learning from Heterogeneous Preferences
by: Chen, Daiwei, et al.
Published: (2024)
by: Chen, Daiwei, et al.
Published: (2024)
Actionable Interpretability via Causal Hypergraphs: Unravelling Batch Size Effects in Deep Learning
by: Sun, Zhongtian, et al.
Published: (2025)
by: Sun, Zhongtian, et al.
Published: (2025)
RicciFlowRec: A Geometric Root Cause Recommender Using Ricci Curvature on Financial Graphs
by: Sun, Zhongtian, et al.
Published: (2025)
by: Sun, Zhongtian, et al.
Published: (2025)
Out-of-Distribution Detection using Counterfactual Distance
by: Stoica, Maria, et al.
Published: (2025)
by: Stoica, Maria, et al.
Published: (2025)
Probabilistic Trust Intervals for Out of Distribution Detection
by: Singh, Gagandeep, et al.
Published: (2021)
by: Singh, Gagandeep, et al.
Published: (2021)
Adaptive Preference Scaling for Reinforcement Learning with Human Feedback
by: Hong, Ilgee, et al.
Published: (2024)
by: Hong, Ilgee, et al.
Published: (2024)
Corruption Robust Offline Reinforcement Learning with Human Feedback
by: Mandal, Debmalya, et al.
Published: (2024)
by: Mandal, Debmalya, et al.
Published: (2024)
DEEDEE: Fast and Scalable Out-of-Distribution Dynamics Detection
by: Aljaafari, Tala, et al.
Published: (2025)
by: Aljaafari, Tala, et al.
Published: (2025)
Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model
by: Zhao, Chu, et al.
Published: (2025)
by: Zhao, Chu, et al.
Published: (2025)
Feature Bank Enhancement for Distance-based Out-of-Distribution Detection
by: Liu, Yuhang, et al.
Published: (2025)
by: Liu, Yuhang, et al.
Published: (2025)
Rectified Lagrangian for Out-of-Distribution Detection in Modern Hopfield Networks
by: Moriai, Ryo, et al.
Published: (2025)
by: Moriai, Ryo, et al.
Published: (2025)
SGOOD: Substructure-enhanced Graph-Level Out-of-Distribution Detection
by: Ding, Zhihao, et al.
Published: (2023)
by: Ding, Zhihao, et al.
Published: (2023)
Mitigating Overconfidence in Out-of-Distribution Detection by Capturing Extreme Activations
by: Azizmalayeri, Mohammad, et al.
Published: (2024)
by: Azizmalayeri, Mohammad, et al.
Published: (2024)
GOODAT: Towards Test-time Graph Out-of-Distribution Detection
by: Wang, Luzhi, et al.
Published: (2024)
by: Wang, Luzhi, et al.
Published: (2024)
ConjNorm: Tractable Density Estimation for Out-of-Distribution Detection
by: Peng, Bo, et al.
Published: (2024)
by: Peng, Bo, et al.
Published: (2024)
Out-of-Distribution Detection with a Single Unconditional Diffusion Model
by: Heng, Alvin, et al.
Published: (2024)
by: Heng, Alvin, et al.
Published: (2024)
Rethinking Out-of-Distribution Detection for Reinforcement Learning: Advancing Methods for Evaluation and Detection
by: Nasvytis, Linas, et al.
Published: (2024)
by: Nasvytis, Linas, et al.
Published: (2024)
M$^2$AD: Multi-Sensor Multi-System Anomaly Detection through Global Scoring and Calibrated Thresholding
by: Alnegheimish, Sarah, et al.
Published: (2025)
by: Alnegheimish, Sarah, et al.
Published: (2025)
DCV-ROOD Evaluation Framework: Dual Cross-Validation for Robust Out-of-Distribution Detection
by: Urrea-Castaño, Arantxa, et al.
Published: (2025)
by: Urrea-Castaño, Arantxa, et al.
Published: (2025)
Adaptive Querying for Reward Learning from Human Feedback
by: Anand, Yashwanthi, et al.
Published: (2024)
by: Anand, Yashwanthi, et al.
Published: (2024)
Uncertainty-Aware Hardware Trojan Detection Using Multimodal Deep Learning
by: Vishwakarma, Rahul, et al.
Published: (2024)
by: Vishwakarma, Rahul, et al.
Published: (2024)
Similar Items
-
Taming False Positives in Out-of-Distribution Detection with Human Feedback
by: Vishwakarma, Harit, et al.
Published: (2024) -
Promises and Pitfalls of Threshold-based Auto-labeling
by: Vishwakarma, Harit, et al.
Published: (2022) -
Pearls from Pebbles: Improved Confidence Functions for Auto-labeling
by: Vishwakarma, Harit, et al.
Published: (2024) -
Metric Learning in an RKHS
by: Tatli, Gokcan, et al.
Published: (2025) -
Is Conformal Factuality for RAG-based LLMs Robust? Novel Metrics and Systematic Insights
by: Chen, Yi, et al.
Published: (2026)