Paper

  • Multilinear Mixture of Experts: Scalable Expert Specialization through Factorization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Multilinear Mixture of Experts: Scalable Expert Specialization through Factorization

    Grigorios Chrysos, Jiankang Deng, Markos Georgopoulos, Mihalis Nicolaou, James Oldfield, Yannis Panagakis, Ioannis Patras, Christos Tzelepis p53022-53063 from Advances in Neural Information Processing Systems 37
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  • Multilingual Abusive Comment Detection at Scale for Indic Languages

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Multilingual Abusive Comment Detection at Scale for Indic Languages

    Somnath Banerjee, Mithun Das, Vikram Gupta, Binny Mathew, Animesh Mukherjee, Sumegh Roychowdhury, Punyajoy Saha, Hastagiri Prakash Vanchinathan p26176-26191 from Advances in Neural Information Processing Systems 35
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  • Multilingual Diversity Improves Vision-Language Representations

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Multilingual Diversity Improves Vision-Language Representations

    Pang Koh, Ranjay Krishna, Wei-Chiu Ma, Thao Nguyen, Sewoong Oh, Sebastin Santy, Ludwig Schmidt, Matthew Wallingford p91430-91459 from Advances in Neural Information Processing Systems 37
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  • Multimodal C4: An Open, Billion-scale Corpus of Images Interleaved with Text

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Multimodal C4: An Open, Billion-scale Corpus of Images Interleaved with Text

    Anas Awadalla, Yejin Choi, Jesse Dodge, Alex Fang, Samir Yitzhak Gadre, Jack Hessel, Ludwig Schmidt, William Yang Wang, Youngjae Yu, Wanrong Zhu p8958-8974 from Advances in Neural Information Processing Systems 36
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  • Multimodal Clinical Benchmark for Emergency Care (MC-BEC): A Comprehensive Benchmark for Evaluating Foundation Models in Emergency Medicine

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Multimodal Clinical Benchmark for Emergency Care (MC-BEC): A Comprehensive Benchmark for Evaluating Foundation Models in Emergency Medicine

    Emma Chen, Julie Chen, Boyang Tom Jin, Aman Kansal, David Kim, Pranav Rajpurkar, Julia Reisler p45794-45811 from Advances in Neural Information Processing Systems 36
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  • Multimodal Contrastive Learning with LIMoE: The Language-Image Mixture of Experts

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Multimodal Contrastive Learning with LIMoE: The Language-Image Mixture of Experts

    Neil Houlsby, Rodolphe Jenatton, Basil Mustafa, Joan Puigcerver, Carlos Riquelme p9564-9576 from Advances in Neural Information Processing Systems 35
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  • Multimodal Deep Learning Model Unveils Behavioral Dynamics of V1 Activity in Freely Moving Mice

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Multimodal Deep Learning Model Unveils Behavioral Dynamics of V1 Activity in Freely Moving Mice

    Michael Beyeler, Yuchen Hou, Cristopher Niell, Aiwen Xu p15341-15357 from Advances in Neural Information Processing Systems 36
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  • Multimodal Large Language Models Make Text-to-Image Generative Models Align Better

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Multimodal Large Language Models Make Text-to-Image Generative Models Align Better

    Shaohan Huang, Guolong Wang, Furu Wei, Xun Wu, Jing Xiong p81287-81323 from Advances in Neural Information Processing Systems 37
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  • Multimodal Task Vectors Enable Many-Shot Multimodal In-Context Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Multimodal Task Vectors Enable Many-Shot Multimodal In-Context Learning

    Assaf Arbelle, Trevor Darrell, Roei Herzig, Brandon Huang, Leonid Karlinsky, Chancharik Mitra p22124-22153 from Advances in Neural Information Processing Systems 37
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  • MultiMoDN—Multimodal, Multi-Task, Interpretable Modular Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    MultiMoDN—Multimodal, Multi-Task, Interpretable Modular Networks

    Thierry Bossy, Jibril Frej, Mary-Anne Hartley, Martin Jaggi, Tanja Käser, Malika Satayeva, Vinitra Swamy, Thijs Vogels p28115-28138 from Advances in Neural Information Processing Systems 36
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  • Multinomial Logistic Regression: Asymptotic Normality on Null Covariates in High-Dimensions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Multinomial Logistic Regression: Asymptotic Normality on Null Covariates in High-Dimensions

    Pierre C Bellec, Kai Tan p70892-70925 from Advances in Neural Information Processing Systems 36
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  • MultiOOD: Scaling Out-of-Distribution Detection for Multiple Modalities

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    MultiOOD: Scaling Out-of-Distribution Detection for Multiple Modalities

    Eleni Chatzi, Hao Dong, Olga Fink, Yue Zhao p129250-129278 from Advances in Neural Information Processing Systems 37
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