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  • How to Scale Your EMA

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    How to Scale Your EMA

    Pierre Ablin, Dan Busbridge, Eeshan Gunesh Dhekane, Tatiana Likhomanenko, Jason Ramapuram, Xavier Suau Cuadros, Russell Webb p73122-73174 from Advances in Neural Information Processing Systems 36
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  • How to Select Which Active Learning Strategy is Best Suited for Your Specific Problem and Budget

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    How to Select Which Active Learning Strategy is Best Suited for Your Specific Problem and Budget

    Guy Hacohen, Daphna Weinshall p13395-13407 from Advances in Neural Information Processing Systems 36
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  • How to Solve Contextual Goal-Oriented Problems with Offline Datasets?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    How to Solve Contextual Goal-Oriented Problems with Offline Datasets?

    Ching-An Cheng, Ying Fan, Jingling Li, Aditya Modi, Adith Swaminathan p99433-99463 from Advances in Neural Information Processing Systems 37
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  • How to Talk So AI Will Learn: Instructions, Descriptions, and Autonomy

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    How to Talk So AI Will Learn: Instructions, Descriptions, and Autonomy

    Tom Griffiths, Dylan Hadfield-Menell, Robert Hawkins, Mark Ho, Theodore Sumers p34762-34775 from Advances in Neural Information Processing Systems 35
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  • How to Turn Your Knowledge Graph Embeddings into Generative Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    How to Turn Your Knowledge Graph Embeddings into Generative Models

    Nicola Di Mauro, Lorenzo Loconte, Robert Peharz, Antonio Vergari p77713-77744 from Advances in Neural Information Processing Systems 36
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  • How to Use Diffusion Priors under Sparse Views?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    How to Use Diffusion Priors under Sparse Views?

    Jia Li, Jiawei Ma, Qisen Wang, Yifan Zhao p30394-30424 from Advances in Neural Information Processing Systems 37
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  • How Transferable Are Video Representations Based on Synthetic Data?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    How Transferable Are Video Representations Based on Synthetic Data?

    Rogerio Feris, Souyoung Jin, Leonid Karlinsky, Yo-Whan Kim, Hilde Kuehne, Samarth Mishra, Aude Oliva, Rameswar Panda, Kate Saenko, Venkatesh Saligrama p35710-35723 from Advances in Neural Information Processing Systems 35
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  • How Transformers Utilize Multi-Head Attention in In-Context Learning? A Case Study on Sparse Linear Regression

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    How Transformers Utilize Multi-Head Attention in In-Context Learning? A Case Study on Sparse Linear Regression

    Xingwu Chen, Lei Zhao, Difan Zou p119573-119613 from Advances in Neural Information Processing Systems 37
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  • How We Lost a Satellite for 48 Hours - First Weeks of HYPE Operations from the Perspective of the Flight Director.

    International Astronautical Federation (IAF)

    How We Lost a Satellite for 48 Hours - First Weeks of HYPE Operations from the Perspective of the Flight Director.

    Jakub Kopec p213-220 from IAF Space Operations Symposium
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  • How We Regulate the Protection of Personal Data Extracted from Satellite Imagery: Implication from National Regulations of Drone Operation

    International Astronautical Federation (IAF)

    How We Regulate the Protection of Personal Data Extracted from Satellite Imagery: Implication from National Regulations of Drone Operation

    Kazushi Kobata, Marina Tainaka p688-693 from IISL Colloquium on the Law of Outer Space
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  • How Well Do Unsupervised Learning Algorithms Model Human Real-Time and Life-Long Learning?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    How Well Do Unsupervised Learning Algorithms Model Human Real-Time and Life-Long Learning?

    Yoon Bai, James J Dicarlo, Xiaoxuan Jia, Kenneth Norman, Nicholas Turk-Browne, Ziyu Xiang, Dan Yamins, Chengxu Zhuang p22628-22642 from Advances in Neural Information Processing Systems 35
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  • How Would the Viewer Feel? Estimating Wellbeing from Video Scenarios

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    How Would the Viewer Feel? Estimating Wellbeing from Video Scenarios

    Steven Basart, Jun Shern Chan, David Forsyth, Dan Hendrycks, Mantas Mazeika, Dawn Song, Jacob Steinhardt, Eric Tang, Andy Zou p18571-18585 from Advances in Neural Information Processing Systems 35
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