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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

    Pietro Barbiero, Stefano Fioravanti, Francesco Giannini, Oguzhan Keskin, Pietro Lió, Alisia Lupidi, Lucie Charlotte Magister 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

    Chaofan Chen, Jon Donnelly, Wenjun Liu, Chiyu Ma, Cynthia Rudin, Soroush Vosoughi 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

    Gene Cheung, Philip Chou, Parham Eftekhar, Seyed Hosseini, Tam Thuc p6393-6416 from Advances in Neural Information Processing Systems 37
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  • Interpretable Mesomorphic Networks for Tabular Data

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Interpretable Mesomorphic Networks for Tabular Data

    Josif Grabocka, Arlind Kadra, Sebastian Pineda Arango p31759-31787 from Advances in Neural Information Processing Systems 37
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  • Interpretable Prototype-based Graph Information Bottleneck

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Interpretable Prototype-based Graph Information Bottleneck

    Sungwon Kim, Chanyoung Park, Sangwoo Seo p76737-76748 from Advances in Neural Information Processing Systems 36
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  • Interpretable Reward Redistribution in Reinforcement Learning: A Causal Approach

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Interpretable Reward Redistribution in Reinforcement Learning: A Causal Approach

    Yali Du, Meng Fang, Biwei Huang, Mykola Pechenizkiy, Jun Wang, Ziyan Wang, Yudi Zhang p20208-20229 from Advances in Neural Information Processing Systems 36
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  • Interpreting and Analysing CLIP's Zero-Shot Image Classification via Mutual Knowledge

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Interpreting and Analysing CLIP's Zero-Shot Image Classification via Mutual Knowledge

    Nikos Deligiannis, Fawaz Sammani p39597-39631 from Advances in Neural Information Processing Systems 37
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  • Interpreting CLIP with Sparse Linear Concept Embeddings (SpLiCE)

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Interpreting CLIP with Sparse Linear Concept Embeddings (SpLiCE)

    Usha Bhalla, Flavio Calmon, Himabindu Lakkaraju, Alex Oesterling, Suraj Srinivas p84298-84328 from Advances in Neural Information Processing Systems 37
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  • Interpreting Learned Feedback Patterns in Large Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Interpreting Learned Feedback Patterns in Large Language Models

    Amir Abdullah, Rauno Arike, Fazl Barez, David Krueger, Luke Marks, Clement Neo, Philip Torr p36541-36566 from Advances in Neural Information Processing Systems 37
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  • Interpreting Operation Selection in Differentiable Architecture Search: A Perspective from Influence-Directed Explanations

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Interpreting Operation Selection in Differentiable Architecture Search: A Perspective from Influence-Directed Explanations

    Wei Huang, Bin Yang, Miao Zhang p31902-31914 from Advances in Neural Information Processing Systems 35
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  • Interpreting the Application of Smart Wearable Interaction Language from the Perspective of Fashion Design

    Textile Bioengineering and Informatics Society Limited (TBIS)

    Interpreting the Application of Smart Wearable Interaction Language from the Perspective of Fashion Design

    Long-Hao Wang p52-58 from 16th Textile Bioengineering and Informatics Symposium Proceedings (TBIS 2023)
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  • Interpreting the Weight Space of Customized Diffusion Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Interpreting the Weight Space of Customized Diffusion Models

    Rameen Abdal, Kfir Aberman, Amil Dravid, Alexei Efros, Yossi Gandelsman, Kuan-Chieh Wang, Gordon Wetzstein p137334-137371 from Advances in Neural Information Processing Systems 37
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