Concept Learning

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12 papers1 paper in the last four weeks, against 2 the four weeks before. 0.0% of all new papers.

  1. A polylogarithmic bound for list replicability

    Oct 14, 2026Ari Blondal, Hamed Hatami, Pooya Hatami +2Concept Learning

    McGill University · Ohio State University

  2. A Unified Account of Concepts and Chunks

    Sep 24, 2026Karthik Singaravadivelan, Pat LangleyComputational Cognitive ModelingConcept Learning

    Georgia Institute of Technology, Atlanta, GA 30332 USA · Institute for the Study of Learning and Expertise, Palo Alto, CA 94306 USA

  3. Map Users and Mapmakers: The Scope of Cognitive Attribution from Acquired Representations

    Sep 12, 2026Yiling WuConcept LearningKnowledge Representation

    BridgeM, Inc.

  4. Towards a universal language of concepts: A survey

    Sep 3, 2026Aishni ParabProgram SynthesisKnowledge Representation

    Department of Computer Science UCLA

  5. Machine-learnable Sets

    Jun 27, 2026Veit Elser, Manish Krishan LalConcept Learning

    Department of Physics, Cornell · Mathematics, Independent Researcher, India

  6. A Geometric View for Understanding Concept Learning and Neuron Interpretation in Sparse Autoencoders

    Jun 5, 2026Chenhao Zhang, Chris Lin, Su-In LeeSparse AutoencodersNeural Network Interpretability

    Paul G. Allen School of Computer Science & Engineering, University of Washington, Seattle, USA.

  7. Composable Crystals: Controllable Materials Discovery via Concept Learning

    May 14, 2026Nian Liu, Yuwei Zeng, Ryoji Kubo +7Vector-Quantized Variational AutoencoderConcept Learning

    National University of Singapore · Loyola Marymount University

  8. Concepts Worth Having: Refining VLM-Guided Concept Bottleneck Models with Minimal Annotations

    May 13, 2026Nicola Debole, Andrea Passerini, Stefano Teso +2Concept Bottleneck ModelsHuman-in-the-Loop Annotation

    DISI, University of Trento, Italy · CIMeC, University of Trento, Italy

  9. Learning from Equivalence Queries, Revisited

    Apr 6, 2026Mark Braverman, Roi Livni, Yishay Mansour +2Bandit LearningConcept Learning

    Princeton and Google · Tel-Aviv University · Tel-Aviv University and Google +2

  10. Learning Concepts, Not Tokens: Self-Supervised Semantic Alignment for Language Models

    Mar 31, 2026Christine Zhang, Dan Jurafsky, Chen ShaniLanguage ModelingLLM Alignment

    Stanford University

  11. Digging Deeper: Learning Multi-Level Concept Hierarchies

    Mar 10, 2026Oscar Hill, Mateo Espinosa Zarlenga, Mateja JamnikInterpretable MLConcept Learning

    Department of Computer Science and Technology, University of Cambridge, UK · Department of Computer Science, University of Oxford, UK

  12. Semantics-Aware Caching for Concept Learning

    Mar 6, 2026Louis Mozart Kamdem Teyou, Caglar Demir, Axel-Cyrille Ngonga NgomoConcept LearningSemantic Caching

    Heinz Nixdorf Institute, Furstenalle 11, 33102 Paderborn, Germany · Paderborn University, Warburgerstr. 100, 33098 Paderborn, Germany