Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • Activation-Informed Merging of Large Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Activation-Informed Merging of Large Language Models

    Amin Heyrani Nobari, Kaveh Alimohammadi, Ali ArjomandBigdeli, Akash Srivastava, Faez Ahmed, Navid Azizan p81124-81147 from Advances in Neural Information Processing Systems 38
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  • Active Bayesian Causal Inference

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Active Bayesian Causal Inference

    Christian Toth, Lars Lorch, Christian Knoll, Andreas Krause, Franz Pernkopf, Robert Peharz, Julius Von Kügelgen p16261-16275 from Advances in Neural Information Processing Systems 35
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  • Active Bipartite Ranking

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Active Bipartite Ranking

    James Cheshire, Vincent Laurent, Stephan Clémençon 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

    David Lindner, Andreas Krause, 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

    Vivien Cabannes, Francis Bach, 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

    Syrine Belakaria, Benjamin Letham, Janardhan Doppa, Barbara Engelhardt, Stefano Ermon, Eytan Bakshy 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

    Ying-Peng Tang, Sheng-Jun Huang 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, Sohyun Lee, Hoyoung Kim, Minhyeon Oh, Jungseul Ok, Suha Kwak 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

    Alex Tamkin, Dat Nguyen, Salil Deshpande, Jesse Mu, Noah Goodman 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

    Andrew Wagenmaker, Lu Mi, Marton Rozsa, Matthew Bull, Karel Svoboda, Kayvon Daie, Matthew Golub, Kevin Jamieson 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

    Ofer Yehuda, Avihu Dekel, Guy Hacohen, Daphna Weinshall 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

    Yinglun Zhu, Robert Nowak 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, Andrew Wagenmaker, Jamie Morgenstern, Lalit Jain, Kevin Jamieson 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

    Christian Lange, Elijah Cole, Grant Van Horn, Oisin Mac Aodha p41892-41913 from Advances in Neural Information Processing Systems 36
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  • Active Measurement: Efficient Estimation at Scale

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Active Measurement: Efficient Estimation at Scale

    Max Hamilton, Jinlin Lai, Wenlong Zhao, Subhransu Maji, Daniel Sheldon p161807-161845 from Advances in Neural Information Processing Systems 38
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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

    Xichen Ye, Xiaoqiang Li, Songmin Dai, Tong Liu, Yan Sun, Weiqin Tong 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

    Haoxiang Ma, Modi Shi, Boyang Gao, Di Huang 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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