Paper

  • Beyond Adult and COMPAS: Fair Multi-Class Prediction Via Information Projection

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Beyond Adult and COMPAS: Fair Multi-Class Prediction Via Information Projection

    Wael Alghamdi, Hsiang Hsu, Haewon Jeong, Hao Wang, Peter Michalak, Shahab Asoodeh, Flavio Calmon p38747-38760 from Advances in Neural Information Processing Systems 35
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  • Beyond Aesthetics: Cultural Competence in Text-to-Image Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Beyond Aesthetics: Cultural Competence in Text-to-Image Models

    Nithish Kannen, Arif Ahmad, Marco Andreetto, Vinodkumar Prabhakaran, Utsav Prabhu, Adji Dieng, Pushpak Bhattacharyya, Shachi Dave p13716-13747 from Advances in Neural Information Processing Systems 37
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  • Beyond Average Return in Markov Decision Processes

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Beyond Average Return in Markov Decision Processes

    Alexandre Marthe, Aurélien Garivier, Claire Vernade p56488-56507 from Advances in Neural Information Processing Systems 36
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  • Beyond Black Box Densities: Parameter Learning for the Deviated Components

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Beyond Black Box Densities: Parameter Learning for the Deviated Components

    Dat Do, Nhat Ho, Xuanlong Nguyen p28167-28178 from Advances in Neural Information Processing Systems 35
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  • Beyond Black-Box Advice: Learning-Augmented Algorithms for MDPs with Q-Value Predictions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Beyond Black-Box Advice: Learning-Augmented Algorithms for MDPs with Q-Value Predictions

    Tongxin Li, Yiheng Lin, Shaolei Ren, Adam Wierman p45502-45515 from Advances in Neural Information Processing Systems 36
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  • Beyond Concept Bottleneck Models: How to Make Black Boxes Intervenable?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Beyond Concept Bottleneck Models: How to Make Black Boxes Intervenable?

    Sonia Laguna, Ricards Marcinkevics, Moritz Vandenhirtz, Julia Vogt p85006-85044 from Advances in Neural Information Processing Systems 37
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  • Beyond Confidence: Reliable Models Should Also Consider Atypicality

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Beyond Confidence: Reliable Models Should Also Consider Atypicality

    Mert Yuksekgonul, Linjun Zhang, James Zou, Carlos Guestrin p38420-38453 from Advances in Neural Information Processing Systems 36
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  • Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning under Distribution Shift

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning under Distribution Shift

    Florian Seligmann, Philipp Becker, Michael Volpp, Gerhard Neumann p29372-29405 from Advances in Neural Information Processing Systems 36
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  • Beyond Efficiency: Molecular Data Pruning for Enhanced Generalization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Beyond Efficiency: Molecular Data Pruning for Enhanced Generalization

    Dingshuo Chen, Zhixun Li, Yuyan Ni, Guibin Zhang, Ding Wang, Qiang Liu, Shu Wu, Jeffrey Yu, Liang Wang p18036-18061 from Advances in Neural Information Processing Systems 37
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  • Beyond Euclidean: Dual-Space Representation Learning for Weakly Supervised Video Violence Detection

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Beyond Euclidean: Dual-Space Representation Learning for Weakly Supervised Video Violence Detection

    Jiaxu Leng, Zhanjie Wu, Mingpi Tan, Yiran Liu, Ji Gan, Haosheng Chen, Xinbo Gao p17373-17397 from Advances in Neural Information Processing Systems 37
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  • Beyond Experimentation: Temporary Use as a Social Circular Strategy

    LTH Profile Area: Circular Building Sector

    Beyond Experimentation: Temporary Use as a Social Circular Strategy

    Chiara Mazzarella, Angela Greco, Hilde Remøy p134-145 from Circular Building Sector Conference (CBSC 2025)
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  • Beyond Exponential Graph: Communication-Efficient Topologies for Decentralized Learning via Finite-time Convergence

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Beyond Exponential Graph: Communication-Efficient Topologies for Decentralized Learning via Finite-time Convergence

    Yuki Takezawa, Ryoma Sato, Han Bao, Kenta Niwa, Makoto Yamada p76692-76717 from Advances in Neural Information Processing Systems 36
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