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45 papers in the last four weeks, up 137% on the four weeks before. 0.4% of all new papers.

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  1. A Parameter-Free Few-Shot Evaluation for Elephant Vocalisation Classification

    Aug 14, 2026Christiaan M. Geldenhuys, Thomas R. NieslerFew-Shot Audio ClassificationPrototype-Based Classification

    Department of Electrical and Electronic Engineering University of Stellenbosch

  2. Bagging Robustly Learns VC Classes with Linear Sample Complexity

    Aug 13, 2026Omar MontasserAdversarial RobustnessClassification

    Yale University

  3. When Explanations Betray Backdoors: Black-Box Auditing for Language Model Classifiers

    Aug 12, 2026Yang Liu, Ran ZouLLM Backdoor AttacksBackdoor Detection

    Department of Statistics and Operations Research, University of North Carolina at Chapel Hill · Department of Statistics, University of California, Irvine

  4. Robust and Efficient Noisy-Label Time-Series Classification via Dynamic Time Warping Based Granular Ball Computing

    Aug 12, 2026Ziqiang Li, Yun Liu, Gouhei TanakaDynamic Time WarpingTime Series Classification

    Department of Computer Science, Graduate School of Engineering, Nagoya Institute of Technology, Nagoya, 466-8555, Japan · International Research Center for Neurointelligence, The University of Tokyo, Tokyo, 113-0033, Japan. · Faculty of Information and Human Sciences, Kyoto Institute of Technology, Kyoto, 606-8585, Japan

  5. CLEAR: Class-wise Expert Aggregation with Structured Sampling for Long-Tailed Classification

    Aug 11, 2026Gawon LimLong-Tailed ClassificationEnsemble Learning

    School of Information Sciences University of Illinois Urbana-Champaign

  6. Optimistic Rates for Multiclass PAC Learning

    Aug 11, 2026Xiaoyu Li, Andi Han, Jiaojiao Jiang +1Multiclass ClassificationClassification

    University of New South Wales · University of Sydney

  7. MD-ProTector: Positioning Multiple Data-Driven Prototypes for LLM-Generated Text Detection

    Aug 11, 2026Jinmo Han, Jimin Hong, Chanyeong Moon +3AI-Generated Text DetectionPrototype Learning

    Department of Electrical and Computer Engineering and INMC Seoul National University, Seoul, Republic of Korea

  8. ReliableNet: A Chance-Constrained Approach to Trustworthy Classification in Deep Learning

    Aug 10, 2026Ange-Clément Akazan, Ineza Remy Mugenga, Abebe Geletu +2Chance-Constrained OptimizationClassification

    School of Agriculture and Science, University of KwaZulu-Natal, Pietermaritzburg, KwaZulu-Natal, South Africa · 2AIMS Research and Innovation Centre, African Institute for Mathematical Sciences, Kigali, Rwanda · 3African Institute for Mathematical Sciences, Kigali, Rwanda

  9. UNMASK: Discovering and Causally Verifying Spurious Shortcuts in Text Classifiers

    Aug 10, 2026Chidaksh Ravuru, Shashank SrivastavaClassificationSpurious Correlation Robustness

    Department of Computer Science University of North Carolina, Chapel Hill

  10. Are LLMs Positionally Consistent Ordinal Classifiers? A Systematic Evaluation

    Aug 9, 2026Yu Wang, Zhe Zhou, Menglin Liu +1Language Model Bias EvaluationClassification

    Cornell University · University of Washington · The Chinese University of Hong Kong, Shenzhen +1

  11. Minimax Optimal Early-Stopped Gradient Descent for Gaussian Mixture Classification

    Aug 6, 2026Alex Buna, Shirley Xiaoqi Liu, Patrick RebeschiniEarly StoppingGradient Descent

    Department of Statistics, University of Oxford

  12. Evidential Rule Learning for Interpretable Classification with Abstention

    Aug 6, 2026Javier Fumanal-Idocin, Javier Andreu-PerezSelective PredictionInterpretable ML

    School of Computer Science and Electronic Engineering University of Essex, Colchester CO4 3SQ, UK

  13. Perturbation Sensitivity at Convergence: A Simple Signal for Identifying Spuriously Correlated Samples

    Aug 5, 2026Nilesh KumarTraining Data SelectionClassification

  14. SpecDrop: Parameter-Free Category-Conditioned Routing for Modular Specialization

    Aug 4, 2026Boyao Wang, Zhihan LeiParameter-Free Mixture-of-Experts RoutingAdaptive Model Routing

    Machine Learning Department Carnegie Mellon University

  15. Training-Free versus Training-Based Intent Classification in LLMs: Accuracy, Robustness, and Failure Modes

    Aug 3, 2026Nan Chen, Zhouhao Yang, Soufiane HayouZero-Shot LearningLLM Evaluation

    Department of Applied Mathematics and Statistics Johns Hopkins University

  16. Can Foundation Models Hear What Made That Sound? A Tiered Benchmark of Audio-Language Models and Traditional Classifiers for Closed-Set Sound Source Identification

    Aug 3, 2026Sajjad Abdoli, Ghassan Al-Sumaidaee, Ahmad ElShiekh +1Audio-Language Model EvaluationAudio-Language Models

    Perle

  17. BRiG-AFA: Bellman Risk-to-Go Learning for Non-Myopic Active Feature Acquisition

    Aug 3, 2026Jiaorong Feng, Qian Li, Ying LiCost-Aware InferenceActive Learning

    Curtin Business School, Curtin University, Perth, Western Australia, Australia · †Present affiliation: Independent Researcher. · School of Electrical Engineering, Computing and Mathematical Sciences, Curtin University, Perth, Western Australia, Australia

  18. Cross-Fitted Residual Utility for Primary-Preserving Cognitive Decision Correction in Automatic Modulation Classification

    Aug 3, 2026Linzhuo Han, Zongyong Cui, Houbiao LiAutomatic Modulation ClassificationClassification

    School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, China · School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China

  19. Statistical comparisons of time-series feature sets on classification tasks

    Aug 3, 2026Trent Henderson, Ben D. FulcherTime Series ClassificationClassification

    Dynamics and Neural Systems Lab, The University of Sydney, Camperdown, 2006, NSW, Australia.

  20. Factorized AdaBoost.MH Achieves the Same Convergence Rate as AdaBoost.MH

    Aug 2, 2026Xin Zou, Jingyuan XuEnsemble LearningMulticlass Classification

  21. Subtype Robustness Is Not Just Accuracy: Calibration Under Unseen Subtype Shift

    Aug 2, 2026Hanyu Su, Carlota Julbe i Juanola, Yibo HuDistribution Shift RobustnessNeural Network Robustness

    Illinois Institute of Technology

  22. Loanword or Switch? The Annotation Boundary, Not the Model, Drives Kazakh-Russian Code-Switching Identification

    Aug 1, 2026Bogdan SavelyevCode-SwitchingLanguage Identification

    Independent Researcher Kazakhstan

  23. FriendBench: Benchmarking Dyadic Familiarity Inference in Humans and Multimodal Large Language Models

    Jul 31, 2026Jeffrey M. Girard, Jason Z. Zheng, Jacqueline R. Vertino +2ClassificationMultimodal Model Evaluation

    Fluid Concepts Research

  24. Explaining AI-Image Detection: What the Heatmap Actually Shows

    Jul 31, 2026Leonid Kuturin, Ilya Sotnikov, Mark Khusnutdinov +4Image Forgery DetectionDigital Image Forensics

    Sirius Educational Centre, Big Challenges programme · HSE University, Faculty of Computer Science

  25. Search Strategies for Optimal Classification and Regression Trees

    Jul 30, 2026Jacobus G. M. van der Linden, Mim van den Bos, Emir DemirovićDecision Tree LearningClassification

    Delft University of Technology

  26. Contrastive Concept Importance: Explaining Pairwise Class Decisions Through Automatically Extracted Concept Representations

    Jul 30, 2026Roel Visser, Isaac Roberts, Barbara HammerFeature AttributionPairwise Comparison

    Bielefeld University, Inspiration 1, 33619 Bielefeld, Germany

  27. Knowledge before Reasoning: EC-Reason-Bench, a Training-Free Diagnostic Benchmark for LLM Enzyme Classification

    Jul 29, 2026Linyu Li, Zhi Jin, Yichi Zhang +6Retrieval-Augmented GenerationLLM Evaluation

    School of Computer Science, Peking University, Beijing, China · College of Computer Science and Technology, Zhejiang University, Hangzhou, China · School of Computer Science, Tibet University, Lhasa, China

  28. FunnelAL: Retrieve-then-Rank Active Learning for Single-Class Discovery

    Jul 28, 2026Reihaneh Rostami, Brian GoodwinActive LearningClassification

    RAIC Labs · RAIC Labs USA

  29. Multiclass Classification without Labels via Posterior Simplex Geometry

    Jul 27, 2026Raphaël Bonnet-Guerrini, Johann Ioannou-Nikolaides, Troels Petersen +1Multiclass ClassificationWeakly Supervised Learning

    Niels Bohr Institute University of Copenhagen Copenhagen, 2100 · Computer Science Department Università degli Studi di Milano Milan, MI, 20133

  30. A Model for Imbalanced Label Aggregation: A Focus on Minority-Class Detection

    Jul 27, 2026Gabriel Singer, Samuel Gruffaz, Olivier Vo Van +2Class-Imbalanced LearningClassification

    SNCF, Paris, France · Université Paris-Saclay, ENS Paris-Saclay, Centre Borelli, France · 2Tampere University, Finland, Biostatistics group

  31. Exploring Budgeted Image Classification with Content-Sensitive Resource Allocation

    Jul 27, 2026Athanasios G. PapadopoulosCost-Aware InferenceClassification

    Tandon School of Engineering, New York University

  32. Local Regularization Does Not Characterize Multiclass PAC Learnability

    Jul 26, 2026Eric HouMulticlass ClassificationClassification

  33. Guarantees on Dynamical System Distinguishability for LLM Token Generation

    Jul 25, 2026Mohamed Akrout, Dan WilsonLLM EvaluationClassification

    Department of Electrical Engineering and Computer Science University of Tennessee, Knoxville, TN, USA

  34. Bayesian Complete-Pooling in Cross-Subject Classification for Motor Imagery Electroencephalogram

    Jul 25, 2026Ethan DavisCross-Subject EEG DecodingMI Classification

    University of Washington, USA

  35. Two-Step Occupation Coding

    Jul 22, 2026Alexander M. Esser, Jens DörpinghausText ClassificationClassification

    University of Koblenz, Germany · 2Federal Institute for Vocational Education and Training (BIBB), Bonn, Germany · 3Linnaeus University (LNU), Växjö, Sweden

  36. Fundamental limits of distributed multiclass classification from simple binary decisions

    Jul 21, 2026Ioannis Papageorgiou, Srinivas Nomula, Ayalvadi Ganesh +2Multiclass ClassificationClassification

    School of Mathematics, University of Bristol · Department of Electrical Communication Engineering, Indian Institute of Science.

  37. Attributes Should Come from Images, Not Class Names: Distribution-Conditioned Attribute Selection for Vision-Language Models

    Jul 21, 2026Gautam Rajendrakumar Gare, Jia Shi, Zhiqiu Lin +3Vision-Language ModelsDistribution Shift

    Carnegie Mellon University, USA

  38. A Classifier That Teaches Itself: Self-Improving, Frozen-gate Training (SIFT) for Dynamic Document Classification

    Jul 20, 2026Bogdan Raduta, Horia Velicu, Alexandru Preda +1LLM-Assisted AnnotationText Classification

  39. Graph-Embedded Intuitionistic Fuzzy Broad Learning System: A Multi-view Framework

    Jul 18, 2026Yogesh Kumar, Manju, Mudasir GanaieMulti-View LearningClassification

    Department of Computer Science and Engineering, Indian Institute of Technology Ropar, Rupnagar, 140001, Punjab, India.

  40. Hierarchical Specialised Ensembles for Classification of Zebrafish Phenotypes Using the Selected Image Recognition Methods

    Jul 17, 2026Piotr S. Maciąg, Monika Maciąg, Magdalena MajdanHierarchical ClassificationMulti-Label Classification

    Institute of Computer Science, Warsaw University of Technology, Nowowiejska 15/19, 00-665 Warsaw, Poland · Laboratory of Neuronal Plasticity, Nencki Institute of Experimental Biology of the Polish Academy of Sciences, Warsaw, Poland · Laboratory of Behavioral Studies, Medical University of Lublin, Lublin, Poland +1

  41. DP-BOA: Dirichlet-Process Birth-or-Assign for On-the-Fly Category Discovery

    Jul 15, 2026Peiyan Gu, Zixin Teng, Xuming HeBayesian Mixture ModelsGaussian Mixture Models

    ShanghaiTech University, Shanghai, China · Shanghai Engineering Research Center of Intelligent Vision and Imaging

  42. Classifying daily activities needs posture, reconstructing them needs motion

    Jul 14, 2026Arefeh Farahmandi, Gunnar BlohmSkeleton-Based Action RecognitionHuman Activity Recognition

    Centre for Neuroscience Studies Queen’s University Kingson, Ontario, Canada

  43. PaperRouter-Agent: A Content-Grounded LLM Agent for Personalized Hierarchical Paper Routing

    Jul 13, 2026Keshen Zhou, Lintao Wang, Suqin Yuan +3LLM PersonalizationRetrieval-Augmented Classification

    University of Sydney, Sydney, NSW 2006, Australia

  44. Constraint-Aware Hierarchical Search for Regulation-Driven Fine-Grained Classification

    Jul 12, 2026Siyu Wang, Wei Tan, Lulu ChenHierarchical ClassificationRetrieval-Augmented Classification

    aGusu Laboratory of Materials, Suzhou, China · cSuzhou Digital China Wuxin Intelligent Technology Co., Ltd., Suzhou, China

  45. Learning from Noise: Effective-Rank Collapse and Out-of-Distribution Rejection in Restricted Boltzmann Machines

    Jul 11, 2026Oshada Rathnayake, Nikhil ShuklaEnergy-Based ModelsClassification

    University of Virginia, Charlottesville, VA, 22903, USA

  46. When Data Imbalance Helps: Robust Generalization Through Shortcut Saturation

    Jul 11, 2026Cheng-Ting Chou, Duc Binh HoangClass-Imbalanced LearningTransformer

    University of California, Los Angeles

  47. TimEE: End-to-end Time Series Classification via In-Context Learning

    Jul 8, 2026Jaris Küken, Shi Bin Hoo, Martin Mráz +2Synthetic Data PretrainingTime Series Classification

    University of Freiburg · Zuse School ELIZA Darmstadt · Prior Labs +1

  48. Naming the Concepts Classifiers Rely On: Language-Anchored Decomposition for Faithful Explanation

    Jul 8, 2026Ahsan Habib Akash, Dipkamal Bhusal, Stacey Jones +3Concept-Based ExplanationsNeural Network Interpretability

    West Virginia University, USA · Rochester Institute of Technology, USA · O Analytics +3

  49. Intuitionistic Fuzzy Graph Embedded Random Vector Functional Link with Multiview Learning

    Jul 6, 2026Vrushank Ahire, Yogesh Kumar, M. A. GanaieMulti-View LearningClassification

    Dept. of Computer Science and Engineering, IIT Ropar, Punjab, India

  50. Choosing a parallel heterogeneous ensemble method for tabular classification

    Jul 6, 2026Vassili Maillet, Gustavo, Angulo +1Ensemble LearningTabular Classification

    Jesus · Mines Paris, PSL University, France

  51. Score Distributions, Not Cells: Evaluating Single-Cell Perturbations Under Class Overlap

    Jul 6, 2026Youssef Marrakchi, Davide D'Ascenzo, Sebastiano Cultrera di MontesanoSingle-Cell Perturbation ModelingClassification

    Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA. · Department of Computer Science, University of Milan, Milan, Italy. · Department of Control and Computer Engineering, Politecnico di Torino, Torino, Italy. +1

  52. Fast, Parallel, Query-Efficient Binary Classification

    Jul 5, 2026Ishani Karmarkar, Liam O'Carroll, Aaron SidfordBinary ClassificationClassification

    Stanford University

  53. A Unified Algebraic Framework for Classification Performance Evaluation

    Jul 4, 2026Ronaldo C. PratiClassification

    Universidade Federal do ABC (UFABC), Av. dos Estados, 5001, Santo André, SP, 09210-580, Brazil

  54. When Does Small Data Work? Accuracy and Efficiency Trade-offs Between Tabular Foundation Models and Conventional Methods for Crowd-State Classification at Hajj and Umrah

    Jul 4, 2026AlJawharh S. AlOtaibi, Mohamed Eltahir, Jude AlSubaieTabular Foundation ModelsFew-Shot Learning

    Riyadh, Saudi Arabia

  55. How Do Diffusion Classifiers Decide? A Bias-Centric Evaluation

    Jul 4, 2026Saba Fathi, Fardin Ayar, Maryam Abdolali +3ClassificationZero-Shot Image Classification

    2Amirkabir University of Technology, Tehran, Iran · 1K. N. Toosi University of Technology, Tehran, Iran · 3The University of Tokyo, Tokyo, Japan

  56. MMAO-Cls: Metabolic Multi-Agent Optimization for Joint Feature Selection and Classifier Tuning

    Jul 1, 2026Jinliang Xu, Liping MaModel SelectionMulti-Agent System Optimization

    independent researcher in Beijing, China · Department of Disease Control and Prevention, The Seventh Medical Center of Chinese PLA General Hospital, Beijing, China

  57. Localized Conformal Prediction for Image Classification with Vision-Language Models

    Jun 30, 2026Clément Fuchs, Tim Bary, Benoît MacqConformal PredictionClassification

    ICTEAM, UCLouvain Louvain-la-Neuve, Belgium

  58. Multistage Defer Trees for Hybrid Interpretability: If at First You Can't Succeed, Tree Again

    Jun 30, 2026Zakk Heile, Hayden McTavish, Margo Seltzer +1Ensemble LearningLearning to Defer

    Department of Computer Science · Duke University · Durham, USA +2

  59. Fast approximation and learning of binary classification tasks in o-minimal structures using ReLU neural networks

    Jun 29, 2026Clemens Kinn, Philipp PetersenReLU Neural NetworksBinary Classification

    Faculty of Mathematics, University of Vienna, 1090 Vienna, Austria

  60. Structured Proper Loss Geometries for Multiclass Classification: Theory and Controlled Empirical Evaluation

    Jun 28, 2026Soumyadip SarkarProper Scoring RulesMulticlass Classification

    Independent Researcher