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  • Feasibility Study on Vertical Well-Assisted Vertical Well-Driven Composite Recovery for Shallow Heavy Oil Reservoirs

    Aussino Academic Publishing House (AAPH)

    Feasibility Study on Vertical Well-Assisted Vertical Well-Driven Composite Recovery for Shallow Heavy Oil Reservoirs

    ZHENG Ping, Guligeinaer Maimaiti, LI Qi, FENG Jun p129-134 from 12th Academic Conference of Geology Resource Management and Sustainable Development (GRMSD 2024)
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  • Feasible Mission Design of a Martian Airship and Verification with a Trajectory Control Simulation

    International Astronautical Federation (IAF)

    Feasible Mission Design of a Martian Airship and Verification with a Trajectory Control Simulation

    Koki Kimura, Lina Kuhlmann, Kelly Touzeau p486-496 from IAF Space Exploration Symposium
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  • Feature Adaptation for Sparse Linear Regression

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Feature Adaptation for Sparse Linear Regression

    Jonathan Kelner, Frederic Koehler, Raghu Meka, Dhruv Rohatgi p29951-29995 from Advances in Neural Information Processing Systems 36
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  • Feature Dropout: Revisiting the Role of Augmentations in Contrastive Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Feature Dropout: Revisiting the Role of Augmentations in Contrastive Learning

    Alex Tamkin, Margalit Glasgow, Xiluo He, Noah Goodman p61806-61835 from Advances in Neural Information Processing Systems 36
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  • Feature Learning for Interpretable, Performant Decision Trees

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Feature Learning for Interpretable, Performant Decision Trees

    Jack Good, Torin Kovach, Kyle Miller, Artur Dubrawski p66571-66582 from Advances in Neural Information Processing Systems 36
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  • Feature Learning in L2-Regularized DNNs: Attraction/Repulsion and Sparsity

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Feature Learning in L2-Regularized DNNs: Attraction/Repulsion and Sparsity

    Arthur Jacot, Eugene Golikov, Clement Hongler, Franck Gabriel p6763-6774 from Advances in Neural Information Processing Systems 35
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  • Feature learning via mean-field Langevin dynamics: classifying sparse parities and beyond

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Feature learning via mean-field Langevin dynamics: classifying sparse parities and beyond

    Taiji Suzuki, Denny Wu, Kazusato Oko, Atsushi Nitanda p34536-34556 from Advances in Neural Information Processing Systems 36
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  • Feature Likelihood Divergence: Evaluating the Generalization of Generative Models Using Samples

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Feature Likelihood Divergence: Evaluating the Generalization of Generative Models Using Samples

    Marco Jiralerspong, Joey Bose, Ian Gemp, Chongli Qin, Yoram Bachrach, Gauthier Gidel p33095-33119 from Advances in Neural Information Processing Systems 36
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  • Feature Selection in the Contrastive Analysis Setting

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Feature Selection in the Contrastive Analysis Setting

    Ethan Weinberger, Ian Covert, Su-In Lee p66102-66126 from Advances in Neural Information Processing Systems 36
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  • Feature-Learning Networks Are Consistent Across Widths At Realistic Scales

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Feature-Learning Networks Are Consistent Across Widths At Realistic Scales

    Nikhil Vyas, Alexander Atanasov, Blake Bordelon, Depen Morwani, Sabarish Sainathan, Cengiz Pehlevan p1036-1060 from Advances in Neural Information Processing Systems 36
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  • Feature-Level Adversarial Attacks and Ranking Disruption for Visible-Infrared Person Re-identification

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Feature-Level Adversarial Attacks and Ranking Disruption for Visible-Infrared Person Re-identification

    Xi Yang, Huanling Liu, De Cheng, Nannan Wang, Xinbo Gao p135043-135061 from Advances in Neural Information Processing Systems 37
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  • Feature-Proxy Transformer for Few-Shot Segmentation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Feature-Proxy Transformer for Few-Shot Segmentation

    Jian-Wei Zhang, Yifan Sun, Yi Yang, Wei Chen p6575-6588 from Advances in Neural Information Processing Systems 35
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