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Selective Prediction from Agreement: A Lipschitz-Consistent Version Space Approach
May 4, 2026Mohamadsadegh KhosravaniSelective Prediction Active Learning
University of Regina
Fairness of Classifiers in the Presence of Constraints between Features
May 1, 2026Martin C. Cooper, Imane BousdiraAlgorithmic Fairness Classification
IRIT, University of Toulouse · IRIT, Toulouse INP
Linear-Core Surrogates: Smooth Loss Functions with Linear Rates for Classification and Structured Prediction
Apr 30, 2026Mehryar Mohri, Yutao ZhongClassification Structured Prediction
Google Research, New York, NY · Courant Institute of Mathematical Sciences, New York, NY
OMEGA: Optimizing Machine Learning by Evaluating Generated Algorithms
Apr 29, 2026Jeremy Nixon, Annika SinghAutomated Algorithm Discovery LLM-Based Program Synthesis
Infinity Artificial Intelligence Institute San Francisco, CA, USA · Infinity Artificial Intelligence Institute & Computer Science, Stanford University Palo Alto, CA, USA
Elite-Driven Support Vector Machines for Classification
Apr 28, 2026Mohammad Jafari Jozani, Bahram MoeinianfarBinary Classification Support Vector Machines
Department of Statistics, University of Manitoba, Winnipeg, Manitoba, CANADA, R3T2N2
The Optimal Sample Complexity of Multiclass and List Learning
Apr 27, 2026Chirag PabbarajuSample Complexity Multiclass Classification
Stanford University
Quantum Kernel Advantage over Classical Collapse in Medical Foundation Model Embeddings
Apr 27, 2026Sebastian Cajas Ordóñez, Felipe Ocampo Osorio, Dax Enshan Koh +10Chest X-Ray Classification Healthcare
1MIT Critical Data, Massachusetts Institute of Technology, Cambridge, MA, USA · 2Clinical Research Center, Artificial Intelligence Unit, Fundaci´on Valle del Lili, Cali, Valle del Cauca, Colombia · 3Quantum Innovation Centre (Q.InC), Agency for Science, Technology and Research (A*STAR), 2 Fusionopolis Way, Innovis #08-03, Singapore 138634, Republic of Singapore +15
Dynamically Acquiring Text Content to Enable the Classification of Lesser-known Entities for Real-world Tasks
Apr 24, 2026Fahmida Alam, Ellen RiloffText Classification Classification
University of Arizona, Tucson, AZ, USA
Do Not Imitate, Reinforce: Iterative Classification via Belief Refinement
Apr 23, 2026Mahdi Kallel, Johannes Tölle, Ahmed Hendawy +1Reinforcement Learning Classification
Center for Artificial Intelligence and Data Science, University of Würzburg · Department of Computer Science, Technical University of Darmstadt
mcdok at SemEval-2026 Task 13: Finetuning LLMs for Detection of Machine-Generated Code
Apr 23, 2026Adam Skurla, Dominik Macko, Jakub SimkoAI-Generated Text Detection LLM Fine-Tuning
Faculty of Information Technology, Brno University of Technology, Brno, Czechia · Kempelen Institute of Intelligent Technologies, Bratislava, Slovakia
Enhancing Science Classroom Discourse Analysis through Joint Multi-Task Learning for Reasoning-Component Classification
Apr 22, 2026Jiho Noh, Mukhesh Raghava Katragadda, Raymond Carl +1AI in Education Multi-Task Learning
Department of Computer Science, Kennesaw State University, Kennesaw, GA 30144 USA · Bagwell College of Education, Kennesaw State University, Kennesaw, GA 30144 USA
Cross-Dataset Bloom Question Classification: Supervised Models and Prompted LLMs
Apr 22, 2026Abdolali Faraji, Mohammadreza Molavi, Zohreh Rasoulkhani +2LLM Evaluation Educational Assessment
Leibniz Information Centre for Science and Technology (TIB) · University of Genoa
Investigation of cardinality classification for bacterial colony counting using explainable artificial intelligence
Apr 21, 2026Minghua Zheng, Na Helian, Peter C. R. Lane +2Object Counting Classification
King’s College London, St Thomas Street, London, SE1 1UL, United Kingdom · University of Hertfordshire, College Lane, Hatfield, AL10 9AB, United Kingdom · Synoptics Ltd, Beacon House, Nuffield Road, Cambridge, CB4 1TF, United Kingdom
Benchmarking PNW Model for MedMNIST to 100% Accuracy
Apr 20, 2026Bo DengMedical Image Classification Classification
Department of Mathematics University of Nebraska-Lincoln Lincoln, NE 68588
LegalBench-BR: A Benchmark for Evaluating Large Language Models on Brazilian Legal Decision Classification
Apr 20, 2026Pedro Barbosa de Carvalho NetoLegal NLP LLM Evaluation
Teresina, PI, Brazil
Concurrent Criterion Validation of a Validity Screen for LLM Confidence Signals via Selective Prediction
Apr 20, 2026Jon-Paul CacioliLLM Evaluation Selective Prediction
Independent Researcher, Melbourne, Australia
Language models recognize dropout and Gaussian noise applied to their activations
Apr 19, 2026Damiano Fornasiere, Mirko Bronzi, Spencer Kitts +3LLM Interpretability Language Model Introspection
LawZero
A proposal for PU classification under Non-SCAR using clustering and logistic model
Apr 18, 2026Konrad Furmanczyk, Kacper PaczutkowskiLogistic Regression Weakly Supervised Learning
Institute of Information Technology, Warsaw University of Life Sciences, Warsaw, Poland
Retrieve, Then Classify: Corpus-Grounded Automation of Clinical Value Set Authoring
Apr 16, 2026Sumit Mukherjee, Juan Shu, Nairwita Mazumder +4Healthcare Retrieval-Augmented Classification
Oracle Health Data Intelligence
TRACER: Trace-Based Adaptive Cost-Efficient Routing for LLM Classification
Apr 16, 2026Adam RidaNeural Surrogate Modeling LLM Inference Efficiency
Independent Researcher.
Not All Forgetting Is Equal: Retention Dynamics in Fine-Tuned Image Classifiers
Apr 13, 2026Miit Daga, Swarna Priya RamuFine-Tuning Data Selection
School of Computer Science Engineering and Information Systems, Vellore Institute of Technology, Vellore, 632014, Tamil Nadu, India
Reachability Across the NL/PL Boundary: A Taxonomy-Driven Dataflow Model for LLM-Integrated Applications
Mar 30, 2026Zihao Xu, Xiao Cheng, Ruijie Meng +1Reachability Analysis Static Code Analysis
University of New South Wales, Sydney, Australia · 2Macquarie University, Sydney, Australia · 3CISPA Helmholtz Center for Information Security, Saarbrücken, Germany
Robustness Quantification for Discriminative Models: a New Robustness Metric and its Application to Dynamic Classifier Selection
Mar 24, 2026Rodrigo F. L. Lassance, Jasper De BockAdversarial Robustness Classification
Foundations Lab for imprecise probabilities (FLip), Ghent University, Ghent, Belgium · Statistics Dept., Federal University of São Carlos, São Carlos, São Paulo, Brazil · Institute of Mathematic and Computer Sciences, University of São Paulo, São Carlos, São Paulo, Brazil
Where Experts Disagree, Models Fail: Detecting Implicit Legal Citations in French Court Decisions
Mar 24, 2026Avrile Floro, Tamara Dhorasoo, Soline Pellez +1Annotator Disagreement Legal Citation Verification
UPHF · Télécom Paris, Institut Polytechnique de Paris · Université Polytechnique Hauts-de-France
Binary Classification from Coupled Pairwise Labels
Mar 20, 2026Tomoya Tate, Kosuke Sugiyama, Masato UchidaPairwise Comparison Binary Classification
Waseda University, 3-4-1 Okubo, Shinjuku, Tokyo 169-8555, Japan.
Not Just How Much, But Where: Decomposing Epistemic Uncertainty into Per-Class Contributions
Feb 24, 2026Mame Diarra Toure, David A. StephensBayesian Neural Networks Classification
Department of Mathematics and Statistics , McGill University
High-Resolution Range Profile Classifiers Require Aspect-Angle Awareness
Feb 16, 2026Edwyn Brient, Santiago Velasco-Forero, Rami KassabClassification
CMM · STIM, Mines Paris, PSL University Fontainebleau/Limours, France · ARC, Thales Land and Air Systems Fontainebleau/Limours, France +2
Minimum distance classification for nonlinear dynamical systems
Jan 7, 2026Dominique MartinezDynamical Systems Time Series Classification
Aix-Marseille University, CNRS, ISM, 13009 Marseille, France
Parameter-Efficient Construction of the Rashomon Slice for Concept Bottleneck Models
Nov 24, 2025Shihan Feng, Cheng Zhang, Michael Xi +3Concept Bottleneck Models Classification
UNC Chapel Hill · Rutgers University · Duke University
Learning Magnetic Order Classification from Large-Scale Materials Databases
Sep 7, 2025Ahmed E. FahmyMaterials Property Prediction Classification
Department of Physics, The Ohio State University, Columbus, OH 43210, USA

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Selective Prediction from Agreement: A Lipschitz-Consistent Version Space Approach

Mohamadsadegh Khosravani

University of Regina

Selective Prediction Active Learning Classification

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We consider selective classification with abstention in the fixed-pool (or transductive) setting, where the unlabeled pool is given beforehand and only a subset of points can be queried for labels. Our main insight is to view selective prediction through agreement: given queried labels and Lipschitz margin constraints in an embedding space, the version space of Lipschitz-consistent classification heads is well defined. We obtain upper and lower Lipschitz margin bounds that define, for each pool point, a set of certified valid labels containing the prediction of every head in the version space. The model therefore predicts only when the label is forced (i.e., all consistent heads agree), and abstains otherwise. We also propose a monotone submodular geometric proxy for budgeted querying, and show that a greedy algorithm retains the standard approximation factor.

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Latest papers 254