Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • Contextual Active Model Selection

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Contextual Active Model Selection

    Xuefeng Liu, Fangfang Xia, Rick Stevens, Yuxin Chen p49914-49956 from Advances in Neural Information Processing Systems 37
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  • Contextual Bandits and Imitation Learning with Preference-Based Active Queries

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Contextual Bandits and Imitation Learning with Preference-Based Active Queries

    Ayush Sekhari, Karthik Sridharan, Wen Sun, Runzhe Wu p11261-11295 from Advances in Neural Information Processing Systems 36
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  • Contextual Bandits with Knapsacks for a Conversion Model

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Contextual Bandits with Knapsacks for a Conversion Model

    Zhen Li, Gilles Stoltz p35590-35602 from Advances in Neural Information Processing Systems 35
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  • Contextual Bilevel Reinforcement Learning for Incentive Alignment

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Contextual Bilevel Reinforcement Learning for Incentive Alignment

    Vinzenz Thoma, Barna Pasztor, Andreas Krause, Giorgia Ramponi, Yifan Hu p127369-127435 from Advances in Neural Information Processing Systems 37
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  • Contextual Decision-Making with Knapsacks Beyond the Worst Case

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Contextual Decision-Making with Knapsacks Beyond the Worst Case

    Zhaohua Chen, Rui Ai, Mingwei Yang, Yuqi Pan, Chang Wang, Xiaotie Deng p88147-88193 from Advances in Neural Information Processing Systems 37
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  • Contextual Dynamic Pricing with Unknown Noise: Explore-Then-UCB Strategy and Improved Regrets

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Contextual Dynamic Pricing with Unknown Noise: Explore-Then-UCB Strategy and Improved Regrets

    Yiyun Luo, Will Wei Sun, Yufeng Liu p37445-37457 from Advances in Neural Information Processing Systems 35
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  • Contextual Gaussian Process Bandits with Neural Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Contextual Gaussian Process Bandits with Neural Networks

    Haoting Zhang, Jinghai He, Rhonda Righter, Zuo-Jun Shen, Zeyu Zheng p26950-26965 from Advances in Neural Information Processing Systems 36
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  • Contextual Linear Optimization with Bandit Feedback

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Contextual Linear Optimization with Bandit Feedback

    Yichun Hu, Nathan Kallus, Xiaojie Mao, Yanchen Wu p26976-27004 from Advances in Neural Information Processing Systems 37
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  • Contextual Multinomial Logit Bandits with General Value Functions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Contextual Multinomial Logit Bandits with General Value Functions

    Mengxiao Zhang, Haipeng Luo p34123-34160 from Advances in Neural Information Processing Systems 37
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  • Contextual Squeeze-And-Excitation for Efficient Few-Shot Image Classification

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Contextual Squeeze-And-Excitation for Efficient Few-Shot Image Classification

    Massimiliano Patacchiola, John Bronskill, Aliaksandra Shysheya, Katja Hofmann, Sebastian Nowozin, Richard Turner p36680-36692 from Advances in Neural Information Processing Systems 35
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  • Contextual Stochastic Bilevel Optimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Contextual Stochastic Bilevel Optimization

    Yifan Hu, Jie Wang, Yao Xie, Andreas Krause, Daniel Kuhn p78412-78434 from Advances in Neural Information Processing Systems 36
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  • Contextually Affinitive Neighborhood Refinery for Deep Clustering

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Contextually Affinitive Neighborhood Refinery for Deep Clustering

    Chunlin Yu, Ye Shi, Jingya Wang p5778-5790 from Advances in Neural Information Processing Systems 36
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  • ContiFormer: Continuous-Time Transformer for Irregular Time Series Modeling

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    ContiFormer: Continuous-Time Transformer for Irregular Time Series Modeling

    Yuqi Chen, Kan Ren, Yansen Wang, Yuchen Fang, Weiwei Sun, Dongsheng Li p47143-47175 from Advances in Neural Information Processing Systems 36
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  • Continual Audio-Visual Sound Separation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Continual Audio-Visual Sound Separation

    Weiguo Pian, Yiyang Nan, Shijian Deng, Shentong Mo, Yunhui Guo, Yapeng Tian p76058-76079 from Advances in Neural Information Processing Systems 37
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  • Continual Counting with Gradual Privacy Expiration

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Continual Counting with Gradual Privacy Expiration

    Joel Andersson, Monika Henzinger, Rasmus Pagh, Teresa Steiner, Jalaj Upadhyay p9421-9448 from Advances in Neural Information Processing Systems 37
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  • Continual Learning for Instruction Following from Realtime Feedback

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Continual Learning for Instruction Following from Realtime Feedback

    Alane Suhr, Yoav Artzi p32340-32359 from Advances in Neural Information Processing Systems 36
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  • Continual Learning in Environments with Polynomial Mixing Times

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Continual Learning in Environments with Polynomial Mixing Times

    Matthew Riemer, Sharath Chandra Raparthy, Ignacio Cases, Gopeshh Subbaraj, Maximilian Puelma Touzel, Irina Rish p21961-21973 from Advances in Neural Information Processing Systems 35
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  • Continual Learning in the Frequency Domain

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Continual Learning in the Frequency Domain

    Ruiqi Liu, Boyu Diao, Libo Huang, Zijia An, Zhulin An, Yongjun Xu p85389-85411 from Advances in Neural Information Processing Systems 37
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  • Continual Learning with Evolving Class Ontologies

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Continual Learning with Evolving Class Ontologies

    Zhiqiu Lin, Deepak Pathak, Yu-Xiong Wang, Deva Ramanan, Shu Kong p7671-7684 from Advances in Neural Information Processing Systems 35
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  • Continual Learning with Global Alignment

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Continual Learning with Global Alignment

    Xueying Bai, Jinghuan Shang, Yifan Sun, Niranjan Balasubramanian p69976-69998 from Advances in Neural Information Processing Systems 37
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  • Continual learning with the neural tangent ensemble

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Continual learning with the neural tangent ensemble

    Ari Benjamin, Christian Pehle, Kyle Daruwalla p58816-58840 from Advances in Neural Information Processing Systems 37
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  • Continual Learning: A Feature Extraction Formalization, an Efficient Algorithm, and Fundamental Obstructions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Continual Learning: A Feature Extraction Formalization, an Efficient Algorithm, and Fundamental Obstructions

    Binghui Peng, Andrej Risteski p28414-28427 from Advances in Neural Information Processing Systems 35
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  • ContinuAR: Continuous Autoregression For Infinite-Fidelity Fusion

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    ContinuAR: Continuous Autoregression For Infinite-Fidelity Fusion

    Wei Xing, Yuxin Wang, Zheng Xing p47279-47308 from Advances in Neural Information Processing Systems 36
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  • Continuous Contrastive Learning for Long-Tailed Semi-Supervised Recognition

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Continuous Contrastive Learning for Long-Tailed Semi-Supervised Recognition

    Zi-Hao Zhou, Siyuan Fang, Zi-Jing Zhou, Tong Wei, Yuanyu Wan, Min-Ling Zhang p51411-51435 from Advances in Neural Information Processing Systems 37
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