Paper

  • Focused Transformer: Contrastive Training for Context Scaling

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Focused Transformer: Contrastive Training for Context Scaling

    Henryk Michalewski, Piotr Milos, Mikolaj Pacek, Konrad Staniszewski, Szymon Tworkowski, Yuhuai Wu p42661-42688 from Advances in Neural Information Processing Systems 36
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  • Fodder Scenario and Hortipastoral Opportunities to Enhance Fodder Production in India

    International Grassland Congress 2023

    Fodder Scenario and Hortipastoral Opportunities to Enhance Fodder Production in India

    N. Biradar, C. Lakshmi, V. Kumar, N. Kulkarni, A. Kumar, S. S. Guledagudda, A. Bheemappa p1057-1061 from XXV International Grassland Congress (IGC 2023)
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  • FOF: Learning Fourier Occupancy Field for Monocular Real-Time Human Reconstruction

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    FOF: Learning Fourier Occupancy Field for Monocular Real-Time Human Reconstruction

    Qiao Feng, Yu-Kun Lai, Kun Li, Yebin Liu, Jingyu Yang p7397-7409 from Advances in Neural Information Processing Systems 35
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  • FOGATA – Integrating Optical Ground Stations into Common RF Ground Stations Networks

    International Astronautical Federation (IAF)

    FOGATA – Integrating Optical Ground Stations into Common RF Ground Stations Networks

    Pierre-Alexis Lagadrilliere, Petros Karafillis, Michael Dlubatz, Marcus Knopp, Bijan Nouri, Luis F. Zarzalejo p67-72 from IAF Space Operations Symposium
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  • Follow-The-Perturbed-Leader for Adversarial Markov Decision Processes with Bandit Feedback

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Follow-The-Perturbed-Leader for Adversarial Markov Decision Processes with Bandit Feedback

    Liyu Chen, Yan Dai, Haipeng Luo p11437-11449 from Advances in Neural Information Processing Systems 35
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  • Follow-ups Also Matter: Improving Contextual Bandits via Post-serving Contexts

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Follow-ups Also Matter: Improving Contextual Bandits via Post-serving Contexts

    Ashwinkumar Badanidiyuru Varadaraja, Zhe Feng, Chaoqi Wang, Haifeng Xu, Ziyu Ye p12774-12796 from Advances in Neural Information Processing Systems 36
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  • FOLLOWING A SYSTEMS ENGINEERING APPROACH TO ESTABLISH A CANINE SYSTEM FOR FORCE MULTIPLICATION

    Southern African Institute for Industrial Engineering (SAIIE)

    FOLLOWING A SYSTEMS ENGINEERING APPROACH TO ESTABLISH A CANINE SYSTEM FOR FORCE MULTIPLICATION

    M. Young p263-276 from International Conference on Industrial Engineering, Systems Engineering and Engineering Management (ISEM 2023)
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  • Food Lab: Tempcrunch

    International Astronautical Federation (IAF)

    Food Lab: Tempcrunch

    Gerardo Rodríguez, Itzcoatl Francisco Nuñez San Miguel, Efren Ricardo Robledo Leal, Mónica Socorro Bravo Zamora, Axel Núñez Arzola, Gisela Aramiram León Espinoza p904-911 from IAF/IAA Space Life Sciences Symposium
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  • FOOGD: Federated Collaboration for Both Out-of-distribution Generalization and Detection

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    FOOGD: Federated Collaboration for Both Out-of-distribution Generalization and Detection

    Chaochao Chen, Xinting Liao, Weiming Liu, Jun Wang, Wenjie Wang, Jiahe Xu, Fengyuan Yu, Xiaolin Zheng, Pengyang Zhou p132908-132945 from Advances in Neural Information Processing Systems 37
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  • Footwear Design and Development Approaches: Factory-Led, Buyer-Led, Marketing-Led, and Design-Led Models in China

    Textile Bioengineering and Informatics Society Limited (TBIS)

    Footwear Design and Development Approaches: Factory-Led, Buyer-Led, Marketing-Led, and Design-Led Models in China

    Rui Sheng, Zhong-Hua Cao, Guo-Xiang Yuan p493-503 from 17th Textile Bioengineering and Informatics Symposium Proceedings (TBIS 2024)
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  • For a Few Data More

    Clarion Technical Conferences

    For a Few Data More

    Jonathan Martin, Matthew Capewell, Andy Linsley, Roland Palmer-Jones, Simon Irvine p723-738 from 34th International Pipeline Pigging and Integrity Management Conference (PPIM 2022)
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  • For SALE: State-Action Representation Learning for Deep Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    For SALE: State-Action Representation Learning for Deep Reinforcement Learning

    Wei-Di Chang, Scott Fujimoto, Shixiang (Shane) Gu, David Meger, Doina Precup, Edward Smith p61573-61624 from Advances in Neural Information Processing Systems 36
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