Paper

  • InterpBench: Semi-Synthetic Transformers for Evaluating Mechanistic Interpretability Techniques

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    InterpBench: Semi-Synthetic Transformers for Evaluating Mechanistic Interpretability Techniques

    Rohan Gupta, Iván Arcuschin, Thomas Kwa, Adrià Garriga-Alonso p92922-92951 from Advances in Neural Information Processing Systems 37
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  • Interpolating Item and User Fairness in Multi-Sided Recommendations

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Interpolating Item and User Fairness in Multi-Sided Recommendations

    Qinyi Chen, Jason Cheuk Nam Liang, Negin Golrezaei, Djallel Bouneffouf p50189-50229 from Advances in Neural Information Processing Systems 37
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  • Interpolation and Regularization for Causal Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Interpolation and Regularization for Causal Learning

    Leena Chennuru Vankadara, Luca Rendsburg, Ulrike Luxburg, Debarghya Ghoshdastidar p36627-36639 from Advances in Neural Information Processing Systems 35
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  • Interpret Your Decision: Logical Reasoning Regularization for Generalization in Visual Classification

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Interpret Your Decision: Logical Reasoning Regularization for Generalization in Visual Classification

    Zhaorui Tan, Xi Yang, Qiufeng Wang, Anh Nguyen, Kaizhu Huang p18166-18204 from Advances in Neural Information Processing Systems 37
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  • Interpretability at Scale: Identifying Causal Mechanisms in Alpaca

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Interpretability at Scale: Identifying Causal Mechanisms in Alpaca

    Zhengxuan Wu, Atticus Geiger, Thomas Icard, Christopher Potts, Noah Goodman p78205-78226 from Advances in Neural Information Processing Systems 36
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  • Interpretable and Explainable Logical Policies via Neurally Guided Symbolic Abstraction

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Interpretable and Explainable Logical Policies via Neurally Guided Symbolic Abstraction

    Quentin Delfosse, Hikaru Shindo, Devendra Dhami, Kristian Kersting p50838-50858 from Advances in Neural Information Processing Systems 36
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  • Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents

    Quentin Delfosse, Sebastian Sztwiertnia, Mark Rothermel, Wolfgang Stammer, Kristian Kersting p66826-66855 from Advances in Neural Information Processing Systems 37
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  • Interpretable Concept-Based Memory Reasoning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Interpretable Concept-Based Memory Reasoning

    David Debot, Pietro Barbiero, Francesco Giannini, Gabriele Ciravegna, Michelangelo Diligenti, Giuseppe Marra p19254-19287 from Advances in Neural Information Processing Systems 37
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  • Interpretable Generalized Additive Models for Datasets with Missing Values

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Interpretable Generalized Additive Models for Datasets with Missing Values

    Hayden McTavish, Jon Donnelly, Margo Seltzer, Cynthia Rudin p11904-11945 from Advances in Neural Information Processing Systems 37
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  • Interpretable Graph Networks Formulate Universal Algebra Conjectures

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Interpretable Graph Networks Formulate Universal Algebra Conjectures

    Francesco Giannini, Stefano Fioravanti, Oguzhan Keskin, Alisia Lupidi, Lucie Charlotte Magister, Pietro Lió, Pietro Barbiero p13429-13447 from Advances in Neural Information Processing Systems 36
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  • Interpretable Image Classification with Adaptive Prototype-based Vision Transformers

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Interpretable Image Classification with Adaptive Prototype-based Vision Transformers

    Chiyu Ma, Jon Donnelly, Wenjun Liu, Soroush Vosoughi, Cynthia Rudin, Chaofan Chen p41447-41493 from Advances in Neural Information Processing Systems 37
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  • Interpretable Lightweight Transformer via Unrolling of Learned Graph Smoothness Priors

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Interpretable Lightweight Transformer via Unrolling of Learned Graph Smoothness Priors

    Tam Thuc, Parham Eftekhar, Seyed Hosseini, Gene Cheung, Philip Chou p6393-6416 from Advances in Neural Information Processing Systems 37
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