Paper

  • Active Bipartite Ranking

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Active Bipartite Ranking

    James Cheshire, Stephan Clémençon, Vincent Laurent p55543-55564 from Advances in Neural Information Processing Systems 36
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  • Active Classification with Few Queries under Misspecification

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Active Classification with Few Queries under Misspecification

    Vasilis Kontonis, Mingchen Ma, Christos Tzamos p51684-51707 from Advances in Neural Information Processing Systems 37
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  • Active Exploration for Inverse Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Active Exploration for Inverse Reinforcement Learning

    Andreas Krause, David Lindner, Giorgia Ramponi p5843-5853 from Advances in Neural Information Processing Systems 35
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  • Active Labeling: Streaming Stochastic Gradients

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Active Labeling: Streaming Stochastic Gradients

    Francis Bach, Vivien Cabannes, Vianney Perchet, Alessandro Rudi p17568-17581 from Advances in Neural Information Processing Systems 35
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  • Active Learning for Derivative-Based Global Sensitivity Analysis with Gaussian Processes

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Active Learning for Derivative-Based Global Sensitivity Analysis with Gaussian Processes

    Eytan Bakshy, Syrine Belakaria, Janardhan Doppa, Barbara Engelhardt, Stefano Ermon, Benjamin Letham p53887-53917 from Advances in Neural Information Processing Systems 37
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  • 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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