Paper

  • Communication-Efficient Topologies for Decentralized Learning with O(1) Consensus Rate

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Communication-Efficient Topologies for Decentralized Learning with O(1) Consensus Rate

    Kexin Jin, Weijian Li, Lei Shi, Zhuoqing Song, Ming Yan, Wotao Yin, Kun Yuan p1073-1085 from Advances in Neural Information Processing Systems 35
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  • Communications Lessons Learned from an Interactive Planetary Defence Workshop

    International Astronautical Federation (IAF)

    Communications Lessons Learned from an Interactive Planetary Defence Workshop

    Alex Karl, Anastsia Medvedeva p44-48 from IAF Symposium on Planetary Defense and Near-Earth Objects
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  • Community Asynchrony Increased Its Stability by Mediating the Relationship of Diversity–stability Relationships in Loess Plateau, China

    International Grassland Congress 2023

    Community Asynchrony Increased Its Stability by Mediating the Relationship of Diversity–stability Relationships in Loess Plateau, China

    Fujiang Hou, Xiaojuan Huang, Jing Zhang p158-162 from XXV International Grassland Congress (IGC 2023)
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  • Community Detection Guarantees using Embeddings Learned by Node2Vec

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Community Detection Guarantees using Embeddings Learned by Node2Vec

    Andrew Davison, S. Carlyle Morgan, Owen G. Ward p685-738 from Advances in Neural Information Processing Systems 37
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  • Community Empowerment Through Regenerative Tourism

    IRTTHI

    Community Empowerment Through Regenerative Tourism

    Anil Chandhok, Amitabh Mishra p249-253 from 2nd International Conference on Innovation and Regenerative Trends in Tourism and Hospitality Industry (IRTTHI 2025)
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  • Community in classrooms: Practical strategies to foster engineering students’ sense of belonging

    Research In Engineering Education Network

    Community in classrooms: Practical strategies to foster engineering students’ sense of belonging

    Holly McCarthy, Rachel Abel, Christopher C Tisdell p586-594 from 9th Research in Engineering Education Symposium and 32nd Australasian Association for Engineering Education Conference (REES AAEE 2021)
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  • COMPACT 3D PRINTED TURNTABLE DESIGN FOR INDUSTRIAL 3D SCANNING APPLICATIONS

    Southern African Institute for Industrial Engineering (SAIIE)

    COMPACT 3D PRINTED TURNTABLE DESIGN FOR INDUSTRIAL 3D SCANNING APPLICATIONS

    G.J. Nel, R. Siriram p966-976 from 34th Southern African Institute for Industrial Engineering Conference 2024 (SAIIE34)
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  • Compact Germplasm Bank (cgb): A Tool to Assist in Microgravity Studies of in Vitro Plants in Space and on Earth.

    International Astronautical Federation (IAF)

    Compact Germplasm Bank (cgb): A Tool to Assist in Microgravity Studies of in Vitro Plants in Space and on Earth.

    Paulo Rodrigues p484-488 from IAF Microgravity Sciences and Processes Symposium
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  • Compact Language Models via Pruning and Knowledge Distillation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Compact Language Models via Pruning and Knowledge Distillation

    Bryan Catanzaro, Marcin Chochowski, Raviraj Joshi, Jan Kautz, Pavlo Molchanov, Saurav Muralidharan, Mostofa Patwary, Mohammad Shoeybi, Sharath Turuvekere Sreenivas p41076-41102 from Advances in Neural Information Processing Systems 37
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  • Compact Monolithic Star Tracker System

    International Astronautical Federation (IAF)

    Compact Monolithic Star Tracker System

    Kamil Zuber, Duncan Wright, Jebum Choi, Colin Hall, Joni Sytsma p665-671 from IAF Materials and Structures Symposium
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  • Compact Neural Volumetric Video Representations with Dynamic Codebooks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Compact Neural Volumetric Video Representations with Dynamic Codebooks

    Hujun Bao, Haoyu Guo, Linzhan Mou, Sida Peng, Yujun Shen, Yunzhi Yan, Xiaowei Zhou p75884-75895 from Advances in Neural Information Processing Systems 36
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  • Compact Proofs of Model Performance via Mechanistic Interpretability

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Compact Proofs of Model Performance via Mechanistic Interpretability

    Rajashree Agrawal, Lawrence Chan, Alex Gibson, Jason Gross, Thomas Kwa, Soufiane Noubir, Euan Ong, Chun Hei Yip p79453-79515 from Advances in Neural Information Processing Systems 37
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