Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • DreamSteerer: Enhancing Source Image Conditioned Editability using Personalized Diffusion Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DreamSteerer: Enhancing Source Image Conditioned Editability using Personalized Diffusion Models

    Zhaoyuan Yang, Zhengyang Yu, Jing Zhang p120699-120734 from Advances in Neural Information Processing Systems 37
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  • DreamWaltz: Make a Scene with Complex 3D Animatable Avatars

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DreamWaltz: Make a Scene with Complex 3D Animatable Avatars

    He Cao, Yukun Huang, Xianbiao Qi, Yukai Shi, Jianan Wang, Ailing Zeng, Zheng-Jun Zha, Lei Zhang p4566-4584 from Advances in Neural Information Processing Systems 36
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  • DReS-FL: Dropout-Resilient Secure Federated Learning for Non-IID Clients Via Secret Data Sharing

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DReS-FL: Dropout-Resilient Secure Federated Learning for Non-IID Clients Via Secret Data Sharing

    Songze Li, Jiawei Shao, Yuchang Sun, Jun Zhang p10533-10545 from Advances in Neural Information Processing Systems 35
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  • Drift doesn't Matter: Dynamic Decomposition with Diffusion Reconstruction for Unstable Multivariate Time Series Anomaly Detection

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Drift doesn't Matter: Dynamic Decomposition with Diffusion Reconstruction for Unstable Multivariate Time Series Anomaly Detection

    Jianxin Liao, Qi Qi, Haifeng Sun, Chengsen Wang, Jingyu Wang, Xingyu Wang, Zirui Zhuang p10758-10774 from Advances in Neural Information Processing Systems 36
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  • Drift-Resilient TabPFN: In-Context Learning Temporal Distribution Shifts on Tabular Data

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Drift-Resilient TabPFN: In-Context Learning Temporal Distribution Shifts on Tabular Data

    Kai Helli, Noah Hollmann, Frank Hutter, Samuel Müller, David Schnurr p98742-98781 from Advances in Neural Information Processing Systems 37
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  • DRIP: Unleashing Diffusion Priors for Joint Foreground and Alpha Prediction in Image Matting

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DRIP: Unleashing Diffusion Priors for Joint Foreground and Alpha Prediction in Image Matting

    Xiaodi Li, Ruijie Quan, Yi Yang, Zongxin Yang p79868-79888 from Advances in Neural Information Processing Systems 37
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  • DrivAerNet++: A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DrivAerNet++: A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks

    Faez Ahmed, Angela Dai, Mohamed Elrefaie, Florin Morar p499-536 from Advances in Neural Information Processing Systems 37
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  • DrivingDojo Dataset: Advancing Interactive and Knowledge-Enriched Driving World Model

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DrivingDojo Dataset: Advancing Interactive and Knowledge-Enriched Driving World Model

    Yuntao Chen, Ke Cheng, Hengchen Dai, Jiawei He, Qitai Wang, Yuqi Wang, Fei Xia, Zhaoxiang Zhang p13020-13034 from Advances in Neural Information Processing Systems 37
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  • Drones Help Drones: A Collaborative Framework for Multi-Drone Object Trajectory Prediction and Beyond

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Drones Help Drones: A Collaborative Framework for Multi-Drone Object Trajectory Prediction and Beyond

    Mingxin Chen, Peirui Cheng, Xinming Li, Xian Sun, Pengju Tian, Zhechao Wang, Zhirui Wang, Xue Yang p64604-64628 from Advances in Neural Information Processing Systems 37
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  • DropBP: Accelerating Fine-Tuning of Large Language Models by Dropping Backward Propagation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DropBP: Accelerating Fine-Tuning of Large Language Models by Dropping Backward Propagation

    Dongsuk Jeon, Minjung Jo, Byeongwook Kim, Jung Kwon, Dongsoo Lee, Baesung Park, Sunghyeon Woo p20170-20197 from Advances in Neural Information Processing Systems 37
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  • DropCompute: simple and more robust distributed synchronous training via compute variance reduction

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DropCompute: simple and more robust distributed synchronous training via compute variance reduction

    Ron Banner, Niv Giladi, Shahar Gottlieb, Elad Hoffer, Asaf Karnieli, Kfir Y. Levy, Moran Shkolnik, Daniel Soudry p48403-48416 from Advances in Neural Information Processing Systems 36
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  • DropCov: A Simple Yet Effective Method for Improving Deep Architectures

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DropCov: A Simple Yet Effective Method for Improving Deep Architectures

    Mingze Gao, Qinghua Hu, Peihua Li, Qilong Wang, Jiangtao Xie, Zhaolin Zhang p33576-33588 from Advances in Neural Information Processing Systems 35
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  • DropEdge not Foolproof: Effective Augmentation Method for Signed Graph Neural Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DropEdge not Foolproof: Effective Augmentation Method for Signed Graph Neural Networks

    Dong Hao, Lu Li, Wanli Li, Zhiyuan Lu, Shuyan Wan, Sijie Wang, Zhiyi Wang, Zeyu Zhang p117041-117069 from Advances in Neural Information Processing Systems 37
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  • DropPos: Pre-Training Vision Transformers by Reconstructing Dropped Positions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DropPos: Pre-Training Vision Transformers by Reconstructing Dropped Positions

    Junsong Fan, Kaiyou Song, Haochen Wang, Tong Wang, Yuxi Wang, Zhao-Xiang Zhang p46134-46151 from Advances in Neural Information Processing Systems 36
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  • DrugCLIP: Contrastive Protein-Molecule Representation Learning for Virtual Screening

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DrugCLIP: Contrastive Protein-Molecule Representation Learning for Virtual Screening

    Bowen Gao, Yinjun Jia, Yanyan Lan, Jingjing Liu, Minsi Lu, Wei-Ying Ma, Bo Qiang, Minsi Ren, Haichuan Tan p44595-44614 from Advances in Neural Information Processing Systems 36
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  • DSR: Dynamical Surface Representation as Implicit Neural Networks for Protein

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DSR: Dynamical Surface Representation as Implicit Neural Networks for Protein

    Xinqi Gong, He Huang, Yao Li, Daiwen Sun, Qiwei Ye p13873-13886 from Advances in Neural Information Processing Systems 36
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  • DTG-SSOD: Dense Teacher Guidance for Semi-Supervised Object Detection

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DTG-SSOD: Dense Teacher Guidance for Semi-Supervised Object Detection

    Gang Li, Xiang Li, Ding Liang, Yujie Wang, Wu Yichao, Shanshan Zhang p8840-8852 from Advances in Neural Information Processing Systems 35
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  • DTGB: A Comprehensive Benchmark for Dynamic Text-Attributed Graphs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DTGB: A Comprehensive Benchmark for Dynamic Text-Attributed Graphs

    Jialin Chen, Aosong Feng, Shuang Liang, Jie Shao, Menglin Yang, Rex Ying, Jiasheng Zhang p91405-91429 from Advances in Neural Information Processing Systems 37
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  • Du-IN: Discrete units-guided mask modeling for decoding speech from Intracranial Neural signals

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Du-IN: Discrete units-guided mask modeling for decoding speech from Intracranial Neural signals

    Zhong-Tao Chen, Li He, Wei-Bang Jiang, Pei-Yang Lin, Yun-Zhe Liu, Hai-Teng Wang, Peng-Hu Wei, Guo-Guang Zhao, Hui Zheng p79996-80033 from Advances in Neural Information Processing Systems 37
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  • DU-Shapley: A Shapley Value Proxy for Efficient Dataset Valuation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DU-Shapley: A Shapley Value Proxy for Efficient Dataset Valuation

    Felipe Garrido-Lucero, Benjamin Heymann, Patrick Loiseau, Vianney Perchet, Maxime Vono p1973-2000 from Advances in Neural Information Processing Systems 37
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  • Dual Cone Gradient Descent for Training Physics-Informed Neural Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Dual Cone Gradient Descent for Training Physics-Informed Neural Networks

    Youngsik Hwang, Dong-Young Lim p98563-98595 from Advances in Neural Information Processing Systems 37
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  • Dual Critic Reinforcement Learning under Partial Observability

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Dual Critic Reinforcement Learning under Partial Observability

    Jinqiu Li, Tong Wei, Shiming Xiang, Junliang Xing, Enmin Zhao p116676-116704 from Advances in Neural Information Processing Systems 37
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  • Dual Defense: Enhancing Privacy and Mitigating Poisoning Attacks in Federated Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Dual Defense: Enhancing Privacy and Mitigating Poisoning Attacks in Federated Learning

    Shiqi Gao, James Joshi, Chao Li, Jianxin Li, Runhua Xu p70476-70498 from Advances in Neural Information Processing Systems 37
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  • Dual Encoder GAN Inversion for High-Fidelity 3D Head Reconstruction from Single Images

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Dual Encoder GAN Inversion for High-Fidelity 3D Head Reconstruction from Single Images

    Bahri Bilecen, Aysegul Dundar, Ahmet Gokmen p87357-87385 from Advances in Neural Information Processing Systems 37
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