:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Li, Hongmin
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2605.11554
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Separating Shortcut Transition from Cross-Family OOD Failure in a Minimal Model
by: Li, Hongmin
Published: (2026)

FastUMAP: Scalable Dimensionality Reduction via Bipartite Landmark Sampling
by: Li, Hongmin
Published: (2026)

Targeted Tests for LLM Reasoning: An Audit-Constrained Protocol
by: Li, Hongmin
Published: (2026)

A Geometric Explanation of the Likelihood OOD Detection Paradox
by: Kamkari, Hamidreza, et al.
Published: (2024)

M3OOD: Automatic Selection of Multimodal OOD Detectors
by: Qin, Yuehan, et al.
Published: (2025)

Negative Label Guided OOD Detection with Pretrained Vision-Language Models
by: Jiang, Xue, et al.
Published: (2024)

AdaNeg: Adaptive Negative Proxy Guided OOD Detection with Vision-Language Models
by: Zhang, Yabin, et al.
Published: (2024)

Your Classifier Can Be Secretly a Likelihood-Based OOD Detector
by: Burapacheep, Jirayu, et al.
Published: (2024)

OOD-Chameleon: Is Algorithm Selection for OOD Generalization Learnable?
by: Jiang, Liangze, et al.
Published: (2024)

MetaOOD: Automatic Selection of OOD Detection Models
by: Qin, Yuehan, et al.
Published: (2024)

GLIP-OOD: Zero-Shot Graph OOD Detection with Graph Foundation Model
by: Xu, Haoyan, et al.
Published: (2025)

REVE: A Foundation Model for EEG -- Adapting to Any Setup with Large-Scale Pretraining on 25,000 Subjects
by: Ouahidi, Yassine El, et al.
Published: (2025)

Tuning Out-of-Distribution (OOD) Detectors Without Given OOD Data
by: Mondal, Sudeepta, et al.
Published: (2026)

Enhancing OOD Detection Using Latent Diffusion
by: Gao, Heng, et al.
Published: (2024)

Bridging OOD Detection and Generalization: A Graph-Theoretic View
by: Wang, Han, et al.
Published: (2024)

Offline Reinforcement Learning with OOD State Correction and OOD Action Suppression
by: Mao, Yixiu, et al.
Published: (2024)

Kernel Single Proxy Control for Deterministic Confounding
by: Xu, Liyuan, et al.
Published: (2023)

Balanced Filtering via Disclosure-Controlled Proxies
by: Deng, Siqi, et al.
Published: (2023)

Strong Teacher Not Needed? On Distillation in LLM Pretraining
by: Lu, Taiming, et al.
Published: (2026)

A Geometry-Based View of Mahalanobis OOD Detection
by: Janiak, Denis, et al.
Published: (2025)

Unifying Prediction and Explanation in Time-Series Transformers via Shapley-based Pretraining
by: Cheng, Qisen, et al.
Published: (2025)

Forecasting Downstream Performance of LLMs With Proxy Metrics
by: Patel, Arkil, et al.
Published: (2026)

Invariant Random Forest: Tree-Based Model Solution for OOD Generalization
by: Liao, Yufan, et al.
Published: (2023)

Taming OOD Actions for Offline Reinforcement Learning: An Advantage-Based Approach
by: Chen, Xuyang, et al.
Published: (2025)

What If the Input is Expanded in OOD Detection?
by: Zhang, Boxuan, et al.
Published: (2024)

Score Combining for Contrastive OOD Detection
by: Reehorst, Edward T., et al.
Published: (2025)

Intermediate Layer Classifiers for OOD generalization
by: Uselis, Arnas, et al.
Published: (2025)

Center-Outward q-Dominance: A Sample-Computable Proxy for Strong Stochastic Dominance in Multi-Objective Optimisation
by: van der Laag, Robin, et al.
Published: (2025)

AdaBoost Does Not Always Cycle: A Computer-Assisted Counterexample
by: Wang, Erik Y.
Published: (2026)

Should Bias be Eliminated? A General Framework to Use Bias for OOD Generalization
by: Li, Yan, et al.
Published: (2025)

Predicting LLM Reasoning Performance with Small Proxy Model
by: Koh, Woosung, et al.
Published: (2025)

A Parsimonious Setup for Streamflow Forecasting using CNN-LSTM
by: Pokharel, Sudan, et al.
Published: (2024)

LSEC: Large-scale spectral ensemble clustering
by: Li, Hongmin, et al.
Published: (2021)

Optimal Representation Size: High-Dimensional Analysis of Pretraining and Linear Probing
by: Njaradi, Valentina, et al.
Published: (2026)

CLIP with Quality Captions: A Strong Pretraining for Vision Tasks
by: Vasu, Pavan Kumar Anasosalu, et al.
Published: (2024)

ProxyKV: Cross-Model Proxy Pruning for Efficient Long-Context LLM Inference
by: Li, Junjie, et al.
Published: (2026)

GDDA: Semantic OOD Detection on Graphs under Covariate Shift via Score-Based Diffusion Models
by: He, Zhixia, et al.
Published: (2024)

It Ain't That Bad: Understanding the Mysterious Performance Drop in OOD Generalization for Generative Transformer Models
by: Xu, Xingcheng, et al.
Published: (2023)

Adjusting Pretrained Backbones for Performativity
by: Demirel, Berker, et al.
Published: (2024)

Don't Break the Boundary: Continual Unlearning for OOD Detection Based on Free Energy Repulsion
by: Peng, Ningkang, et al.
Published: (2026)