Paper

  • DDXPlus: A New Dataset for Automatic Medical Diagnosis

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DDXPlus: A New Dataset for Automatic Medical Diagnosis

    Arsene Fansi Tchango, Joumana Ghosn, Rishab Goel, Julien Martel, Zhi Wen p31306-31318 from Advances in Neural Information Processing Systems 35
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  • De novo Drug Design using Reinforcement Learning with Multiple GPT Agents

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    De novo Drug Design using Reinforcement Learning with Multiple GPT Agents

    Xiuyuan Hu, Guoqing Liu, Hao Zhang, Yang Zhao p7405-7418 from Advances in Neural Information Processing Systems 36
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  • Dealing with Synthetic Data Contamination in Online Continual Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Dealing with Synthetic Data Contamination in Online Continual Learning

    Jiafeng Mao, Nicolas Michel, Maorong Wang, Toshihiko Yamasaki p51284-51311 from Advances in Neural Information Processing Systems 37
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  • DeBaRA: Denoising-Based 3D Room Arrangement Generation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DeBaRA: Denoising-Based 3D Room Arrangement Generation

    Tom Durand, Léopold Maillard, Maks Ovsjanikov, Nicolas Sereyjol-Garros p109202-109232 from Advances in Neural Information Processing Systems 37
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  • Debias Coarsely, Sample Conditionally: Statistical Downscaling through Optimal Transport and Probabilistic Diffusion Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Debias Coarsely, Sample Conditionally: Statistical Downscaling through Optimal Transport and Probabilistic Diffusion Models

    John Anderson, Ricardo Baptista, Anudhyan Boral, Yi-Fan Chen, Fei Sha, Zhong Yi Wan, Leonardo Zepeda-Núñez p47749-47763 from Advances in Neural Information Processing Systems 36
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  • Debiased and Denoised Entity Recognition from Distant Supervision

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Debiased and Denoised Entity Recognition from Distant Supervision

    Gang Chen, Yiwen Dong, Fei Huang, Haobo Wang, Ruixuan Xiao, Junbo Zhao p16650-16672 from Advances in Neural Information Processing Systems 36
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  • Debiased Causal Tree: Heterogeneous Treatment Effects Estimation with Unmeasured Confounding

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Debiased Causal Tree: Heterogeneous Treatment Effects Estimation with Unmeasured Confounding

    Qing Cui, Linbo Jiang, Longfei Li, Xinyu Li, Caizhi Tang, Huiyuan Wang, Ya-Lin Zhang, Jun Zhou, Feng Zhu p5628-5640 from Advances in Neural Information Processing Systems 35
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  • Debiased Machine Learning Without Sample-Splitting for Stable Estimators

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Debiased Machine Learning Without Sample-Splitting for Stable Estimators

    Morgane Austern, Qizhao Chen, Vasilis Syrgkanis p3096-3109 from Advances in Neural Information Processing Systems 35
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  • Debiased Self-Training for Semi-Supervised Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Debiased Self-Training for Semi-Supervised Learning

    Baixu Chen, Junguang Jiang, Mingsheng Long, Pengfei Wan, Jianmin Wang, Ximei Wang p32424-32437 from Advances in Neural Information Processing Systems 35
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  • Debiased, Longitudinal and Coordinated Drug Recommendation Through Multi-Visit Clinic Records

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Debiased, Longitudinal and Coordinated Drug Recommendation Through Multi-Visit Clinic Records

    Yuhan Chen, Shuqi Li, Hongda Sun, Ji-Rong Wen, Shufang Xie, Rui Yan p27837-27849 from Advances in Neural Information Processing Systems 35
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  • Debiasing Conditional Stochastic Optimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Debiasing Conditional Stochastic Optimization

    Lie He, Shiva Kasiviswanathan p78846-78893 from Advances in Neural Information Processing Systems 36
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  • Debiasing Graph Neural Networks Via Learning Disentangled Causal Substructure

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Debiasing Graph Neural Networks Via Learning Disentangled Causal Substructure

    Shaohua Fan, Yanhu Mo, Chuan Shi, Jian Tang, Xiao Wang p24934-24946 from Advances in Neural Information Processing Systems 35
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