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

    James Oldfield, Markos Georgopoulos, Grigorios Chrysos, Christos Tzelepis, Yannis Panagakis, Mihalis Nicolaou, Jiankang Deng, Ioannis Patras p53022-53063 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • 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

    Vikram Gupta, Sumegh Roychowdhury, Mithun Das, Somnath Banerjee, Punyajoy Saha, Binny Mathew, Hastagiri Prakash Vanchinathan, Animesh Mukherjee p26176-26191 from Advances in Neural Information Processing Systems 35
    Our Price: $0.00
  • Multilingual Diversity Improves Vision-Language Representations

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Multilingual Diversity Improves Vision-Language Representations

    Thao Nguyen, Matthew Wallingford, Sebastin Santy, Wei-Chiu Ma, Sewoong Oh, Ludwig Schmidt, Pang Koh, Ranjay Krishna p91430-91459 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • 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

    Wanrong Zhu, Jack Hessel, Anas Awadalla, Samir Yitzhak Gadre, Jesse Dodge, Alex Fang, Youngjae Yu, Ludwig Schmidt, William Yang Wang, Yejin Choi p8958-8974 from Advances in Neural Information Processing Systems 36
    Our Price: $0.00
  • 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, Aman Kansal, Julie Chen, Boyang Tom Jin, Julia Reisler, David Kim, Pranav Rajpurkar p45794-45811 from Advances in Neural Information Processing Systems 36
    Our Price: $0.00
  • 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

    Basil Mustafa, Carlos Riquelme, Joan Puigcerver, Rodolphe Jenatton, Neil Houlsby p9564-9576 from Advances in Neural Information Processing Systems 35
    Our Price: $0.00
  • 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

    Aiwen Xu, Yuchen Hou, Cristopher Niell, Michael Beyeler p15341-15357 from Advances in Neural Information Processing Systems 36
    Our Price: $0.00
  • 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

    Xun Wu, Shaohan Huang, Guolong Wang, Jing Xiong, Furu Wei p81287-81323 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • 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

    Brandon Huang, Chancharik Mitra, Assaf Arbelle, Leonid Karlinsky, Trevor Darrell, Roei Herzig p22124-22153 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • MultiMoDN—Multimodal, Multi-Task, Interpretable Modular Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    MultiMoDN—Multimodal, Multi-Task, Interpretable Modular Networks

    Vinitra Swamy, Malika Satayeva, Jibril Frej, Thierry Bossy, Thijs Vogels, Martin Jaggi, Tanja Käser, Mary-Anne Hartley p28115-28138 from Advances in Neural Information Processing Systems 36
    Our Price: $0.00
  • 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

    Kai Tan, Pierre C Bellec p70892-70925 from Advances in Neural Information Processing Systems 36
    Our Price: $0.00
  • 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

    Hao Dong, Yue Zhao, Eleni Chatzi, Olga Fink p129250-129278 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00