Paper

  • An Exploration-by-Optimization Approach to Best of Both Worlds in Linear Bandits

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    An Exploration-by-Optimization Approach to Best of Both Worlds in Linear Bandits

    Shinji Ito, Kei Takemura p71582-71602 from Advances in Neural Information Processing Systems 36
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  • AN EXPLORATORY STUDY ON MIXED-MODE FRACTURE AND STRAIN DISTRIBUTION NEAR A CRACK TIP OF ADHESIVELY-LAMINATED WOOD SPECIMENS USING THE MODIFIED ARCON FIXTURE AND DIGITAL IMAGE CORRELATION

    World Conference on Timber Engineering 2023 (WCTE 2023)

    AN EXPLORATORY STUDY ON MIXED-MODE FRACTURE AND STRAIN DISTRIBUTION NEAR A CRACK TIP OF ADHESIVELY-LAMINATED WOOD SPECIMENS USING THE MODIFIED ARCON FIXTURE AND DIGITAL IMAGE CORRELATION

    Zizhen Gao, Meng Gong, Ling Li, Mohsen Mohammadi p112-118 from World Conference on Timber Engineering (WCTE 2023)
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  • An eye for an ear: zero-shot audio description leveraging an image captioner with audio-visual token distribution matching

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    An eye for an ear: zero-shot audio description leveraging an image captioner with audio-visual token distribution matching

    Slim Essid, Stéphane Lathuiliere, Hugo Malard, Michel Olvera p38720-38743 from Advances in Neural Information Processing Systems 37
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  • An Image is Worth 32 Tokens for Reconstruction and Generation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    An Image is Worth 32 Tokens for Reconstruction and Generation

    Liang-Chieh Chen, Daniel Cremers, Xueqing Deng, Xiaohui Shen, Mark Weber, Qihang Yu p128940-128966 from Advances in Neural Information Processing Systems 37
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  • An Improved Empirical Fisher Approximation for Natural Gradient Descent

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    An Improved Empirical Fisher Approximation for Natural Gradient Descent

    Philip Woodland, Xiaodong Wu, Wenyi Yu, Chao Zhang p134151-134194 from Advances in Neural Information Processing Systems 37
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  • An Improved Relaxation for Oracle-Efficient Adversarial Contextual Bandits

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    An Improved Relaxation for Oracle-Efficient Adversarial Contextual Bandits

    Kiarash Banihashem, Mohammadtaghi Hajiaghayi, Suho Shin, Max Springer p67471-67486 from Advances in Neural Information Processing Systems 36
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  • An In-depth Investigation of Sparse Rate Reduction in Transformer-like Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    An In-depth Investigation of Sparse Rate Reduction in Transformer-like Models

    Yunzhe Hu, Dong Xu, Difan Zou p116815-116837 from Advances in Neural Information Processing Systems 37
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  • An In-Depth Study of Stochastic Backpropagation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    An In-Depth Study of Stochastic Backpropagation

    Hao Chen, Jun Fang, Bing Shuai, Joseph Tighe, Zhuowen Tu, Mingze Xu p21819-21830 from Advances in Neural Information Processing Systems 35
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  • An Inductive Bias for Tabular Deep Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    An Inductive Bias for Tabular Deep Learning

    Ege Beyazit, Bilal Fadlallah, Jonathan Kozaczuk, Bo Li, Vanessa Wallace p43108-43135 from Advances in Neural Information Processing Systems 36
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  • An Industrial-Scale Cement Rotary Kiln CFD Model to Characterise Alternative Fuel Combustion Profiles

    ECOS 2023

    An Industrial-Scale Cement Rotary Kiln CFD Model to Characterise Alternative Fuel Combustion Profiles

    Antonio Alcaide Moreno, Miguel Ángel Castán-Lascorz, Valter Tavares p448-459 from 36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2023)
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  • An Information Theoretic Perspective on Conformal Prediction

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    An Information Theoretic Perspective on Conformal Prediction

    Arash Behboodi, Alvaro Correia, Christos Louizos, Fabio Massoli p101000-101041 from Advances in Neural Information Processing Systems 37
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  • An Information Theory Perspective on Variance-Invariance-Covariance Regularization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    An Information Theory Perspective on Variance-Invariance-Covariance Regularization

    Randall Balestriero, Kenji Kawaguchi, Yann Lecun, Tim G. J. Rudner, Ravid Shwartz-Ziv p33965-33998 from Advances in Neural Information Processing Systems 36
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