Paper

  • Modality-Independent Teachers Meet Weakly-Supervised Audio-Visual Event Parser

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Modality-Independent Teachers Meet Weakly-Supervised Audio-Visual Event Parser

    Yung-Hsuan Lai, Yen-Chun Chen, Frank Wang p73633-73651 from Advances in Neural Information Processing Systems 36
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  • Mode Connectivity in Auction Design

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Mode Connectivity in Auction Design

    Christoph Hertrich, Yixin Tao, László A. Végh p52957-52968 from Advances in Neural Information Processing Systems 36
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  • MODE I FRACTURE ENERGY OF AUSTRALIAN NATIVE HARDWOOD SPOTTED GUM AT VARIOUS MOISTURE CONTENTS

    World Conference on Timber Engineering 2023 (WCTE 2023)

    MODE I FRACTURE ENERGY OF AUSTRALIAN NATIVE HARDWOOD SPOTTED GUM AT VARIOUS MOISTURE CONTENTS

    Peiqing Lu, Benoit P. Gilbert, Chandan Kumar, Robbie L. McGavin, Hassan Karampour p474-481 from World Conference on Timber Engineering (WCTE 2023)
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  • MODE I FRACTURE ENERGY OF HARDWOOD GLUELINES VIA TESTS

    World Conference on Timber Engineering 2025

    MODE I FRACTURE ENERGY OF HARDWOOD GLUELINES VIA TESTS

    Martina Sciomenta, Antonios G. Stampopoulos p4834-4840 from 14th World Conference on Timber Engineering 2025 (WCTE 2025)
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  • MODE I TESTS OF NORWAY SPRUCE USING SEN-TPB: DETAILED ANALYSIS OF THE CRACK LENGTH DETERMINED USING OPTICAL METHOD

    World Conference on Timber Engineering 2023 (WCTE 2023)

    MODE I TESTS OF NORWAY SPRUCE USING SEN-TPB: DETAILED ANALYSIS OF THE CRACK LENGTH DETERMINED USING OPTICAL METHOD

    Martin Hataj, Jirí Kunecký, Michal Kloiber p162-167 from World Conference on Timber Engineering (WCTE 2023)
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  • Model and Feature Diversity for Bayesian Neural Networks in Mutual Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Model and Feature Diversity for Bayesian Neural Networks in Mutual Learning

    Van Cuong Pham, Cuong Nguyen, Trung Le, Dinh Phung, Gustavo Carneiro, Thanh-Toan Do p80633-80643 from Advances in Neural Information Processing Systems 36
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  • Model Based Inference of Synaptic Plasticity Rules

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Model Based Inference of Synaptic Plasticity Rules

    Yash Mehta, Danil Tyulmankov, Adithya Rajagopalan, Glenn Turner, James Fitzgerald, Jan Funke p48519-48540 from Advances in Neural Information Processing Systems 37
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  • Model Collapse Demystified: The Case of Regression

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Model Collapse Demystified: The Case of Regression

    Elvis Dohmatob, Yunzhen Feng, Julia Kempe p46979-47013 from Advances in Neural Information Processing Systems 37
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  • Model Decides How to Tokenize: Adaptive DNA Sequence Tokenization with MxDNA

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Model Decides How to Tokenize: Adaptive DNA Sequence Tokenization with MxDNA

    Lifeng Qiao, Peng Ye, Yuchen Ren, Weiqiang Bai, Chaoqi Liang, Xinzhu Ma, Nanqing Dong, Wanli Ouyang p66080-66107 from Advances in Neural Information Processing Systems 37
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  • Model Fusion through Bayesian Optimization in Language Model Fine-Tuning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Model Fusion through Bayesian Optimization in Language Model Fine-Tuning

    Chaeyun Jang, Hyungi Lee, Jungtaek Kim, Juho Lee p29878-29912 from Advances in Neural Information Processing Systems 37
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  • Model LEGO: Creating Models Like Disassembling and Assembling Building Blocks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Model LEGO: Creating Models Like Disassembling and Assembling Building Blocks

    Jiacong Hu, Jing Gao, Jingwen Ye, Yang Gao, Xingen Wang, Zunlei Feng, Mingli Song p127711-127738 from Advances in Neural Information Processing Systems 37
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  • Model Predictive Control with Self-Learning Capability for Automated Demand Response in Buildings

    ECOS 2023

    Model Predictive Control with Self-Learning Capability for Automated Demand Response in Buildings

    Laura Zabala Urrutia, Jesus Febres Pascual, Estibaliz Pérez Iribarren, Raymond Sterling, Iker González Pino p3263-3274 from 36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2023)
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