Paper

  • Improving Diffusion Models for Inverse Problems Using Manifold Constraints

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Improving Diffusion Models for Inverse Problems Using Manifold Constraints

    Hyungjin Chung, Dohoon Ryu, Byeongsu Sim, Jong Chul Ye p25683-25696 from Advances in Neural Information Processing Systems 35
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  • Improving Diffusion-Based Image Synthesis with Context Prediction

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Improving Diffusion-Based Image Synthesis with Context Prediction

    Zheming Cai, Bin Cui, Shenda Hong, Zhilin Huang, Jingwei Liu, Ling Yang, Wentao Zhang, Zhilong Zhang p37636-37656 from Advances in Neural Information Processing Systems 36
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  • 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
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  • 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
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  • Improving Few-Shot Generalization by Exploring and Exploiting Auxiliary Data

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Improving Few-Shot Generalization by Exploring and Exploiting Auxiliary Data

    Alon Albalak, Colin Raffel, William Yang Wang p24754-24780 from Advances in Neural Information Processing Systems 36
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  • 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)
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  • 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)
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  • Improving GANs with a Dynamic Discriminator

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Improving GANs with a Dynamic Discriminator

    Bo Dai, Yujun Shen, Yinghao Xu, Ceyuan Yang, Deli Zhao, Bolei Zhou p15093-15104 from Advances in Neural Information Processing Systems 35
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  • 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)
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  • 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
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  • 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
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  • 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
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