Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • 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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  • Active Negative Loss Functions for Learning with Noisy Labels

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Active Negative Loss Functions for Learning with Noisy Labels

    Songmin Dai, Xiaoqiang Li, Tong Liu, Yan Sun, Weiqin Tong, Xichen Ye p6917-6940 from Advances in Neural Information Processing Systems 36
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  • Active Observing in Continuous-time Control

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Active Observing in Continuous-time Control

    Samuel Holt, Alihan Hüyük, Mihaela Van Der Schaar p46054-46092 from Advances in Neural Information Processing Systems 36
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  • Active Perception for Grasp Detection via Neural Graspness Field

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Active Perception for Grasp Detection via Neural Graspness Field

    Boyang Gao, Di Huang, Haoxiang Ma, Modi Shi p38122-38141 from Advances in Neural Information Processing Systems 37
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  • Active preference learning for ordering items in- and out-of-sample

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Active preference learning for ordering items in- and out-of-sample

    Herman Bergström, Emil Carlsson, Devdatt Dubhashi, Fredrik Johansson p71962-71997 from Advances in Neural Information Processing Systems 37
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  • Active Ranking Without Strong Stochastic Transitivity

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Active Ranking Without Strong Stochastic Transitivity

    Farzad Farnoud, Quanquan Gu, Tao Jin, Hao Lou, Yue Wu, Pan Xu p297-309 from Advances in Neural Information Processing Systems 35
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  • Active Reasoning in an Open-World Environment

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Active Reasoning in an Open-World Environment

    Guangyuan Jiang, Wei Liang, Manjie Xu, Chi Zhang, Yixin Zhu p11716-11736 from Advances in Neural Information Processing Systems 36
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  • Active representation learning for general task space with applications in robotics

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Active representation learning for general task space with applications in robotics

    Yifang Chen, Simon Du, Yingbing Huang, Kevin Jamieson, Guanya Shi p80622-80632 from Advances in Neural Information Processing Systems 36
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  • Active Sequential Posterior Estimation for Sample-Efficient Simulation-Based Inference

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Active Sequential Posterior Estimation for Sample-Efficient Simulation-Based Inference

    Defu Cao, Zijun Cui, Sam Griesemer, Yan Liu, Carolina Osorio p127907-127936 from Advances in Neural Information Processing Systems 37
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  • Active Set Ordering

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Active Set Ordering

    Sunil Gupta, Patrick Jaillet, Bryan Kian Hsiang Low, Quoc Phong Nguyen, Svetha Venkatesh p108518-108541 from Advances in Neural Information Processing Systems 37
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  • Active Surrogate Estimators: An Active Learning Approach to Label-Efficient Model Evaluation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Active Surrogate Estimators: An Active Learning Approach to Label-Efficient Model Evaluation

    Sebastian Farquhar, Yarin Gal, Jannik Kossen, Thomas Rainforth p24557-24570 from Advances in Neural Information Processing Systems 35
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  • Active Vision Reinforcement Learning under Limited Visual Observability

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Active Vision Reinforcement Learning under Limited Visual Observability

    Michael S Ryoo, Jinghuan Shang p10316-10338 from Advances in Neural Information Processing Systems 36
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  • Active, anytime-valid risk controlling prediction sets

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Active, anytime-valid risk controlling prediction sets

    Nikos Karampatziakis, Paul Mineiro, Ziyu Xu p60110-60132 from Advances in Neural Information Processing Systems 37
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  • Active-Passive SimStereo - Benchmarking the Cross-Generalization Capabilities of Deep Learning-Based Stereo Methods

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Active-Passive SimStereo - Benchmarking the Cross-Generalization Capabilities of Deep Learning-Based Stereo Methods

    Allen Antony, Mohammed Bennamoun, Farid Boussaid, Laurent Jospin, Hamid Laga, Lian Xu p29235-29247 from Advances in Neural Information Processing Systems 35
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