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

    Zhenghua Chen, Chen Ding, Guosheng Lin, Peng Wang, Wei Wei, Lei Zhang, Yanning Zhang, Fei Zhou 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

    Zeynep Akata, Marcel Binz, Matt Botvinick, Julian Coda-Forno, Eric Schulz, Jane Wang 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

    Maria-Florina Balcan, Keegan Harris, Misha Khodak, Kfir Y. Levy, Ron Meir, Ilya Osadchiy, 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

    Robin Walters, Rui Wang, 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, Pedro Goncalves, Jakob H Macke, Poornima Ramesh, 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

    Georgios Giannakis, Alireza Sadeghi, Yilang Zhang 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

    Yikun Ban, Jingrui He, Yunzhe Qi, Tianxin Wei, Huaxiu Yao, Jiaru Zou 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

    Hankook Lee, Jaeho Lee, Jongjin Park, Jinwoo Shin, Jihoon Tack 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

    Jihwan Bang, Jae-Gil Lee, Youngjun Lee, Dongmin Park, Yooju Shin, Hwanjun Song 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

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