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

    Zhengyang Yu, Zhaoyuan Yang, 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

    Yukun Huang, Jianan Wang, Ailing Zeng, He Cao, Xianbiao Qi, Yukai Shi, 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

    Jiawei Shao, Yuchang Sun, Songze Li, 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

    Chengsen Wang, Zirui Zhuang, Qi Qi, Jingyu Wang, Xingyu Wang, Haifeng Sun, Jianxin Liao 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, David Schnurr, Noah Hollmann, Samuel Müller, Frank Hutter 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, Zongxin Yang, Ruijie Quan, Yi 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

    Mohamed Elrefaie, Florin Morar, Angela Dai, Faez Ahmed 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

    Yuqi Wang, Ke Cheng, Jiawei He, Qitai Wang, Hengchen Dai, Yuntao Chen, 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

    Zhechao Wang, Peirui Cheng, Mingxin Chen, Pengju Tian, Zhirui Wang, Xinming Li, Xue Yang, Xian Sun 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

    Sunghyeon Woo, Baesung Park, Byeongwook Kim, Minjung Jo, Jung Kwon, Dongsuk Jeon, Dongsoo Lee 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

    Niv Giladi, Shahar Gottlieb, Moran Shkolnik, Asaf Karnieli, Ron Banner, Elad Hoffer, Kfir Y. Levy, 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

    Qilong Wang, Mingze Gao, Zhaolin Zhang, Jiangtao Xie, Peihua Li, Qinghua Hu 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

    Zeyu Zhang, Lu Li, Shuyan Wan, Sijie Wang, Zhiyi Wang, Zhiyuan Lu, Dong Hao, Wanli Li 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

    Haochen Wang, Junsong Fan, Yuxi Wang, Kaiyou Song, Tong 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, Bo Qiang, Haichuan Tan, Yinjun Jia, Minsi Ren, Minsi Lu, Jingjing Liu, Wei-Ying Ma, Yanyan Lan 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

    Daiwen Sun, He Huang, Yao Li, Xinqi Gong, 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, Yujie Wang, Wu Yichao, Ding Liang, 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

    Jiasheng Zhang, Jialin Chen, Menglin Yang, Aosong Feng, Shuang Liang, Jie Shao, Rex Ying 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

    Hui Zheng, Hai-Teng Wang, Wei-Bang Jiang, Zhong-Tao Chen, Li He, Pei-Yang Lin, Peng-Hu Wei, Guo-Guang Zhao, Yun-Zhe Liu 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, Maxime Vono, Patrick Loiseau, Vianney Perchet 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, Enmin Zhao, Tong Wei, Junliang Xing, Shiming Xiang 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

    Runhua Xu, Shiqi Gao, Chao Li, James Joshi, Jianxin Li 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, Ahmet Gokmen, Aysegul Dundar p87357-87385 from Advances in Neural Information Processing Systems 37
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