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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

DP-Mix: Mixup-based Data Augmentation for Differentially Private Learning

Wenxuan Bao, Francesco Pittaluga, Vijay Kumar B G, Vincent Bindschaedler p12154-12170 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

DP-PCA: Statistically Optimal and Differentially Private PCA

Xiyang Liu, Weihao Kong, Prateek Jain, Sewoong Oh p29929-29943 from Advances in Neural Information Processing Systems 35

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World Conference on Timber Engineering 2025

DPG MEDIA HEADQUARTERS IN AMSTERDAM: A SHOWCASE OF TIMBER-CONCRETE COMPOSITE FLOOR TECHNOLOGY

Luc Sohier, Laurane Néron, Benoît Hargot p5009-5015 from 14th World Conference on Timber Engineering 2025 (WCTE 2025)

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

DPIC: Decoupling Prompt and Intrinsic Characteristics for LLM Generated Text Detection

Xiao Yu, Yuang Qi, Kejiang Chen, Guoqiang Chen, Xi Yang, Pengyuan Zhu, Xiuwei Shang, Weiming Zhang, Nenghai Yu p16194-16212 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

DPM-Solver-v3: Improved Diffusion ODE Solver with Empirical Model Statistics

Kaiwen Zheng, Cheng Lu, Jianfei Chen, Jun Zhu p55502-55542 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps

Cheng Lu, Yuhao Zhou, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu p5775-5787 from Advances in Neural Information Processing Systems 35

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

DPOK: Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models

Ying Fan, Olivia Watkins, Yuqing Du, Hao Liu, Moonkyung Ryu, Craig Boutilier, Pieter Abbeel, Mohammad Ghavamzadeh, Kangwook Lee, Kimin Lee p79858-79885 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

DRACO: A Denoising-Reconstruction Autoencoder for Cryo-EM

Yingjun Shen, Haizhao Dai, Qihe Chen, Yan Zeng, Jiakai Zhang, Yuan Pei, Jingyi Yu p23630-23654 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Draft-And-Revise: Effective Image Generation with Contextual RQ-Transformer

Doyup Lee, Chiheon Kim, Saehoon Kim, Minsu Cho, Wook Shin Han p30127-30138 from Advances in Neural Information Processing Systems 35

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Drago: Primal-Dual Coupled Variance Reduction for Faster Distributionally Robust Optimization

Ronak Mehta, Jelena Diakonikolas, Zaid Harchaoui p134770-134825 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

DRAUC: An Instance-wise Distributionally Robust AUC Optimization Framework

Siran Dai, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang p44658-44670 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Drawing Out of Distribution with Neuro-Symbolic Generative Models

Yichao Liang, Josh Tenenbaum, Tuan Anh Le, Siddharth N p15244-15254 from Advances in Neural Information Processing Systems 35

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