Paper

  • Meta-Exploiting Frequency Prior for Cross-Domain Few-Shot Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Meta-Exploiting Frequency Prior for Cross-Domain Few-Shot Learning

    Fei Zhou, Peng Wang, Lei Zhang, Zhenghua Chen, Wei Wei, Chen Ding, Guosheng Lin, Yanning Zhang p116783-116814 from Advances in Neural Information Processing Systems 37
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  • Meta-in-context learning in large language models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Meta-in-context learning in large language models

    Julian Coda-Forno, Marcel Binz, Zeynep Akata, Matt Botvinick, Jane Wang, Eric Schulz p65189-65201 from Advances in Neural Information Processing Systems 36
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  • Meta-Learning Adversarial Bandit Algorithms

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Meta-Learning Adversarial Bandit Algorithms

    Misha Khodak, Ilya Osadchiy, Keegan Harris, Maria-Florina Balcan, Kfir Y. Levy, Ron Meir, Steven Wu p35441-35471 from Advances in Neural Information Processing Systems 36
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  • Meta-Learning Dynamics Forecasting Using Task Inference

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Meta-Learning Dynamics Forecasting Using Task Inference

    Rui Wang, Robin Walters, Rose Yu p21640-21653 from Advances in Neural Information Processing Systems 35
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  • Meta-learning families of plasticity rules in recurrent spiking networks using simulation-based inference

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Meta-learning families of plasticity rules in recurrent spiking networks using simulation-based inference

    Basile Confavreux, Poornima Ramesh, Pedro Goncalves, Jakob H Macke, Tim Vogels p13545-13558 from Advances in Neural Information Processing Systems 36
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  • Meta-Learning Universal Priors Using Non-Injective Change of Variables

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Meta-Learning Universal Priors Using Non-Injective Change of Variables

    Yilang Zhang, Alireza Sadeghi, Georgios Giannakis p111965-111993 from Advances in Neural Information Processing Systems 37
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  • Meta-Learning with Neural Bandit Scheduler

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Meta-Learning with Neural Bandit Scheduler

    Yunzhe Qi, Yikun Ban, Tianxin Wei, Jiaru Zou, Huaxiu Yao, Jingrui He p63994-64028 from Advances in Neural Information Processing Systems 36
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  • Meta-Learning with Self-Improving Momentum Target

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Meta-Learning with Self-Improving Momentum Target

    Jihoon Tack, Jongjin Park, Hankook Lee, Jaeho Lee, Jinwoo Shin p6318-6332 from Advances in Neural Information Processing Systems 35
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  • Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-Set Active Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-Set Active Learning

    Dongmin Park, Yooju Shin, Jihwan Bang, Youngjun Lee, Hwanjun Song, Jae-Gil Lee p31416-31429 from Advances in Neural Information Processing Systems 35
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  • Meta-Reinforcement Learning with Self-Modifying Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Meta-Reinforcement Learning with Self-Modifying Networks

    Mathieu Chalvidal, Thomas Serre, Rufin Vanrullen p7838-7851 from Advances in Neural Information Processing Systems 35
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  • Meta-Reinforcement Learning with Universal Policy Adaptation: Provable Near-Optimality under All-task Optimum Comparator

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Meta-Reinforcement Learning with Universal Policy Adaptation: Provable Near-Optimality under All-task Optimum Comparator

    Siyuan Xu, Minghui Zhu p2977-3026 from Advances in Neural Information Processing Systems 37
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  • Meta-Reward-Net: Implicitly Differentiable Reward Learning for Preference-Based Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Meta-Reward-Net: Implicitly Differentiable Reward Learning for Preference-Based Reinforcement Learning

    Runze Liu, Fengshuo Bai, Yali Du, Yaodong Yang p22270-22284 from Advances in Neural Information Processing Systems 35
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