Paper

  • Active Learning for Multiple Target Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Active Learning for Multiple Target Models

    Sheng-Jun Huang, Ying-Peng Tang p38424-38435 from Advances in Neural Information Processing Systems 35
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  • Active Learning for Semantic Segmentation with Multi-class Label Query

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Active Learning for Semantic Segmentation with Multi-class Label Query

    Sehyun Hwang, Hoyoung Kim, Suha Kwak, Sohyun Lee, Minhyeon Oh, Jungseul Ok p27020-27039 from Advances in Neural Information Processing Systems 36
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  • Active Learning Helps Pretrained Models Learn the Intended Task

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Active Learning Helps Pretrained Models Learn the Intended Task

    Salil Deshpande, Noah Goodman, Jesse Mu, Dat Nguyen, Alex Tamkin p28140-28153 from Advances in Neural Information Processing Systems 35
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  • Active Learning of Classifiers with Label and Seed Queries

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Active Learning of Classifiers with Label and Seed Queries

    Marco Bressan, Nicolò Cesa-Bianchi, Silvio Lattanzi, Andrea Paudice, Maximilian Thiessen p30911-30922 from Advances in Neural Information Processing Systems 35
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  • Active Learning of General Halfspaces: Label Queries vs Membership Queries

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Active Learning of General Halfspaces: Label Queries vs Membership Queries

    Ilias Diakonikolas, Daniel Kane, Mingchen Ma p49180-49213 from Advances in Neural Information Processing Systems 37
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  • Active learning of neural population dynamics using two-photon holographic optogenetics

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Active learning of neural population dynamics using two-photon holographic optogenetics

    Matthew Bull, Kayvon Daie, Matthew Golub, Kevin Jamieson, Lu Mi, Marton Rozsa, Karel Svoboda, Andrew Wagenmaker p31659-31687 from Advances in Neural Information Processing Systems 37
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  • Active Learning Polynomial Threshold Functions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Active Learning Polynomial Threshold Functions

    Omri Ben-Eliezer, Max Hopkins, Chutong Yang, Hantao Yu p24199-24212 from Advances in Neural Information Processing Systems 35
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  • Active Learning Through a Covering Lens

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Active Learning Through a Covering Lens

    Avihu Dekel, Guy Hacohen, Daphna Weinshall, Ofer Yehuda p22354-22367 from Advances in Neural Information Processing Systems 35
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  • Active Learning with LLMs for Partially Observed and Cost-Aware Scenarios

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Active Learning with LLMs for Partially Observed and Cost-Aware Scenarios

    Nicolás Astorga, Tennison Liu, Nabeel Seedat, Mihaela van der Schaar p20819-20857 from Advances in Neural Information Processing Systems 37
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  • Active Learning with Neural Networks: Insights from Nonparametric Statistics

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Active Learning with Neural Networks: Insights from Nonparametric Statistics

    Robert Nowak, Yinglun Zhu p142-155 from Advances in Neural Information Processing Systems 35
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  • Active Learning with Safety Constraints

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Active Learning with Safety Constraints

    Romain Camilleri, Lalit Jain, Kevin Jamieson, Jamie Morgenstern, Andrew Wagenmaker p33201-33214 from Advances in Neural Information Processing Systems 35
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  • Active Learning-Based Species Range Estimation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Active Learning-Based Species Range Estimation

    Elijah Cole, Christian Lange, Oisin Mac Aodha, Grant Van Horn p41892-41913 from Advances in Neural Information Processing Systems 36
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