v1v2v3 (latest)

A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks

International Conference on Learning Representations (ICLR), 2016

7 October 2016

Papers citing "A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks"

50 / 2,211 papers shown

Enhancing Uncertainty Estimation in LLMs with Expectation of Aggregated Internal Belief

121

24 Dec 2025

Domain Feature Collapse: Implications for Out-of-Distribution Detection and Solutions

222

03 Dec 2025

U4D: Uncertainty-Aware 4D World Modeling from LiDAR Sequences

194

02 Dec 2025

Open-Set Domain Adaptation Under Background Distribution Shift: Challenges and A Provably Efficient Solution

358

01 Dec 2025

TIE: A Training-Inversion-Exclusion Framework for Visually Interpretable and Uncertainty-Guided Out-of-Distribution Detection

308

28 Nov 2025

RankOOD -- Class Ranking-based Out-of-Distribution Detection

Dishanika Denipitiyage

238

25 Nov 2025

SupLID: Geometrical Guidance for Out-of-Distribution Detection in Semantic SegmentationInternational Conference on Information and Knowledge Management (CIKM), 2025

221

24 Nov 2025

OpenCML: End-to-End Framework of Open-world Machine Learning to Learn Unknown Classes Incrementally

Jitendra Parmar

Praveen Singh Thakur

CLL VLM

269

23 Nov 2025

A Variance-Based Analysis of Sample Complexity for Grid Coverage

Lyu Yuhuan

244

21 Nov 2025

MedBayes-Lite: Bayesian Uncertainty Quantification for Safe Clinical Decision Support

211

20 Nov 2025

Exploiting Inter-Sample Information for Long-tailed Out-of-Distribution DetectionIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2025

465

20 Nov 2025

TSRE: Channel-Aware Typical Set Refinement for Out-of-Distribution Detection

437

19 Nov 2025

LFreeDA: Label-Free Drift Adaptation for Windows Malware Detection

Adrian Shuai Li

Elisa Bertino

148

18 Nov 2025

BootOOD: Self-Supervised Out-of-Distribution Detection via Synthetic Sample Exposure under Neural Collapse

360

17 Nov 2025

Fully Automatic Data Labeling for Ultrasound Screen Detection

151

17 Nov 2025

ProtoAnomalyNCD: Prototype Learning for Multi-class Novel Anomaly Discovery in Industrial Scenarios

277

17 Nov 2025

Calibrated Decomposition of Aleatoric and Epistemic Uncertainty in Deep Features for Inference-Time Adaptation

260

15 Nov 2025

CITADEL: A Semi-Supervised Active Learning Framework for Malware Detection Under Continuous Distribution Drift

Md. Mahim Anjum Haque

Md Mahmuduzzaman Kamol

Ismail Hossain

Suresh Kumar Amalapuram

Vladik Kreinovich

AAML

279

15 Nov 2025

Volatility in Certainty (VC): A Metric for Detecting Adversarial Perturbations During Inference in Neural Network Classifiers

134

14 Nov 2025

A Systematic Analysis of Out-of-Distribution Detection Under Representation and Training Paradigm Shifts

C. César Claros Olivares

Austin J. Brockmeier

OODD

280

14 Nov 2025

Ellipsoid-Based Decision Boundaries for Open Intent Classification

224

13 Nov 2025

Automatic Grid Updates for Kolmogorov-Arnold Networks using Layer Histograms

Jamison Moody

James Usevitch

222

11 Nov 2025

ClusterMine: Robust Label-Free Visual Out-Of-Distribution Detection via Concept Mining from Text Corpora

239

10 Nov 2025

Relative Energy Learning for LiDAR Out-of-Distribution Detection

539

10 Nov 2025

Leveraging Text-Driven Semantic Variation for Robust OOD Segmentation

Seungheon Song

Jaekoo Lee

161

10 Nov 2025

Runtime Safety Monitoring of Deep Neural Networks for Perception: A Survey

Albert Schotschneider

Svetlana Pavlitska

Johann Marius Zöllner

AAML AI4CE

291

08 Nov 2025

IDALC: A Semi-Supervised Framework for Intent Detection and Active Learning based CorrectionIEEE Transactions on Artificial Intelligence (IEEE TAI), 2025

184

08 Nov 2025

Simplex-FEM Networks (SiFEN): Learning A Triangulated Function Approximator

160

06 Nov 2025

GAFD-CC: Global-Aware Feature Decoupling with Confidence Calibration for OOD Detection

607

04 Nov 2025

Perturbations in the Orthogonal Complement Subspace for Efficient Out-of-Distribution Detection

368

02 Nov 2025

LOC: A General Language-Guided Framework for Open-Set 3D Occupancy Prediction

146

25 Oct 2025

Out-of-Distribution Detection for Safety Assurance of AI and Autonomous Systems

Victoria Hodge

Colin Paterson

Ibrahim Habli

153

24 Oct 2025

What Does It Take to Build a Performant Selective Classifier?

Stephan Rabanser

Nicolas Papernot

274

23 Oct 2025

Enhancing Security in Deep Reinforcement Learning: A Comprehensive Survey on Adversarial Attacks and Defenses

199

23 Oct 2025

Generative AI in Depth: A Survey of Recent Advances, Model Variants, and Real-World ApplicationsJournal of Big Data (JBD), 2025

Shamim Yazdani

Akansha Singh

N. Saxena

Sribala Vidyadhari Chinta

282

23 Oct 2025

Systematic Evaluation of Uncertainty Estimation Methods in Large Language Models

Christian Hobelsberger

Theresa Winner

Andreas Nawroth

Oliver Mitevski

Anna-Carolina Haensch

ELM

166

23 Oct 2025

Revisiting Logit Distributions for Reliable Out-of-Distribution Detection

361

23 Oct 2025

Ensembling Pruned Attention Heads For Uncertainty-Aware Efficient Transformers

208

21 Oct 2025

Uncertainty Estimation by Flexible Evidential Deep Learning

Taeseong Yoon

Heeyoung Kim

EDL BDL

404

21 Oct 2025

Benchmarking Out-of-Distribution Detection for Plankton Recognition: A Systematic Evaluation of Advanced Methods in Marine Ecological Monitoring

227

20 Oct 2025

Learning After Model Deployment

151

20 Oct 2025

GOOD: Training-Free Guided Diffusion Sampling for Out-of-Distribution Detection

...

331

20 Oct 2025

Nearest-Class Mean and Logits Agreement for Wildlife Open-Set Recognition

160

20 Oct 2025

Beyond Binary Out-of-Distribution Detection: Characterizing Distributional Shifts with Multi-Statistic Diffusion Trajectories

262

20 Oct 2025

Model-agnostic Selective Labeling with Provable Statistical Guarantees

212

16 Oct 2025

Through the Lens of Doubt: Robust and Efficient Uncertainty Estimation for Visual Place Recognition

Emily Miller

Michael Milford

Muhammad Burhan Hafez

SD Ramchurn

Shoaib Ehsan

222

15 Oct 2025

DROID: Dual Representation for Out-of-Scope Intent Detection

139

15 Oct 2025

A Multi-dimensional Semantic Surprise Framework Based on Low-Entropy Semantic Manifolds for Fine-Grained Out-of-Distribution Detection

167

15 Oct 2025

Local Background Features Matter in Out-of-Distribution Detection

285

14 Oct 2025

Equipping Vision Foundation Model with Mixture of Experts for Out-of-Distribution Detection

289

12 Oct 2025