Paper

  • Improving Decision Sparsity

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Improving Decision Sparsity

    Cynthia Rudin, Yiyang Sun, Tong Wang p26267-26307 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • Improving Deep Learning Optimization through Constrained Parameter Regularization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Improving Deep Learning Optimization through Constrained Parameter Regularization

    Jörg Franke, Michael Hefenbrock, Frank Hutter, Gregor Koehler p8984-9025 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • Improving Deep Reinforcement Learning by Reducing the Chain Effect of Value and Policy Churn

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Improving Deep Reinforcement Learning by Reducing the Chain Effect of Value and Policy Churn

    Glen Berseth, Hongyao Tang p15320-15355 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • IMPROVING DEEP-LEVEL MINE UTILITY USAGE THROUGH DYNAMIC BASELINES

    Southern African Institute for Industrial Engineering (SAIIE)

    IMPROVING DEEP-LEVEL MINE UTILITY USAGE THROUGH DYNAMIC BASELINES

    E.G. Jordaan, J.F. Van Rensburg, J.A. Du Preez, L.N. Zietsman, W.A. Pelser p747-765 from International Conference on Industrial Engineering, Systems Engineering and Engineering Management (ISEM 2023)
    Our Price: $30.00
    Add to Cart The item has been added
  • Improving Environment Novelty Quantification for Effective Unsupervised Environment Design

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Improving Environment Novelty Quantification for Effective Unsupervised Environment Design

    Wenjun Li, Jayden Teoh, Pradeep Varakantham p135299-135333 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • Improving Equivariant Model Training via Constraint Relaxation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Improving Equivariant Model Training via Constraint Relaxation

    Evangelos Chatzipantazis, Kostas Daniilidis, Stefanos Pertigkiozoglou, Shubhendu Trivedi p83497-83520 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • Improving Forage Production Practices of Livestock and Hay Producers 

    International Grassland Congress 2023

    Improving Forage Production Practices of Livestock and Hay Producers 

    S. Dyer, L. Baxter p532-535 from XXV International Grassland Congress (IGC 2023)
    Our Price: $30.00
    Add to Cart The item has been added
  • Improving Frost Seeding Accuracy with an Entry Level GPS Unit

    International Grassland Congress 2023

    Improving Frost Seeding Accuracy with an Entry Level GPS Unit

    B. L. Hendrix, C. D. Teutsch, J. Jackson, C. Raymond p596-599 from XXV International Grassland Congress (IGC 2023)
    Our Price: $30.00
    Add to Cart The item has been added
  • Improving Garment Silhouette Recognition with a Semi-Supervised ResNet-50 Network for Cost-Effective Annotation

    Textile Bioengineering and Informatics Society Limited (TBIS)

    Improving Garment Silhouette Recognition with a Semi-Supervised ResNet-50 Network for Cost-Effective Annotation

    Yun-Tao Zhang, Shang-Xi Li, Xiao-Hua Li, Xin-Mu Ren, Lin Ma p486-493 from 18th Textile Bioengineering and Informatics Symposium Proceedings (TBIS 2025)
    Our Price: $30.00
    Add to Cart The item has been added
  • Improving Generalization and Convergence by Enhancing Implicit Regularization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Improving Generalization and Convergence by Enhancing Implicit Regularization

    Weinan E, Haotian He, Guanhua Huang, Zhiyu Li, Jinbo Wang, Mingze Wang, Zilin Wang, Lei Wu, Feiyu Xiong p118701-118744 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • Improving Generalization in Federated Learning with Model-Data Mutual Information Regularization: A Posterior Inference Approach

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Improving Generalization in Federated Learning with Model-Data Mutual Information Regularization: A Posterior Inference Approach

    Wenrui Dai, Nuowen Kan, Chenglin Li, Hongkai Xiong, Hao Zhang, Ziyang Zheng, Junni Zou p136646-136678 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • Improving Generalization of Dynamic Graph Learning via Environment Prompt

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Improving Generalization of Dynamic Graph Learning via Environment Prompt

    Qihe Huang, Limin Li, Yuxuan Liang, Yang Wang, Kuo Yang, Zhengyang Zhou p70048-70075 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00