Paper

  • 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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