Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • Denoising Diffusion Restoration Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Denoising Diffusion Restoration Models

    Michael Elad, Stefano Ermon, Bahjat Kawar, Jiaming Song p23593-23606 from Advances in Neural Information Processing Systems 35
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  • Dense and Aligned Captions (DAC) Promote Compositional Reasoning in VL Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Dense and Aligned Captions (DAC) Promote Compositional Reasoning in VL Models

    Amit Alfassy, Assaf Arbelle, Paola Cascante-Bonilla, Sivan Doveh, Rogerio Feris, Raja Giryes, Sivan Harary, Roei Herzig, Leonid Karlinsky, Donghyun Kim, Rameswar Panda, Shimon Ullman p76137-76150 from Advances in Neural Information Processing Systems 36
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  • Dense Associative Memory Through the Lens of Random Features

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Dense Associative Memory Through the Lens of Random Features

    Duen Horng Chau, Benjamin Hoover, Dmitry Krotov, Parikshit Ram, Hendrik Strobelt p23549-23576 from Advances in Neural Information Processing Systems 37
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  • Dense Connector for MLLMs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Dense Connector for MLLMs

    Haocheng Feng, Zhiheng Li, Wanli Ouyang, Yuxin Song, Yifan Sun, Jingdong Wang, Wenhao Wu, Taojiannan Yang, Huanjin Yao, Mengxi Zhang p33108-33140 from Advances in Neural Information Processing Systems 37
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  • Dense Interspecies Face Embedding

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Dense Interspecies Face Embedding

    Subin Jeon, Seon Joo Kim, Seonghyeon Nam, Sejong Yang p33275-33288 from Advances in Neural Information Processing Systems 35
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  • Dense-Exponential Random Features: Sharp Positive Estimators of the Gaussian Kernel

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Dense-Exponential Random Features: Sharp Positive Estimators of the Gaussian Kernel

    Krzysztof M Choromanski, Kumar Avinava Dubey, Valerii Likhosherstov, Frederick Liu, Tamas Sarlos, Adrian Weller p957-985 from Advances in Neural Information Processing Systems 36
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  • DENSE: Data-Free One-Shot Federated Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DENSE: Data-Free One-Shot Federated Learning

    Chen Chen, Shouhong Ding, Bo Li, Lingjuan Lyu, Chunhua Shen, Shuang Wu, Chao Wu, Jie Zhang p21414-21428 from Advances in Neural Information Processing Systems 35
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  • DenseFormer: Enhancing Information Flow in Transformers via Depth Weighted Averaging

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DenseFormer: Enhancing Information Flow in Transformers via Depth Weighted Averaging

    Francois Fleuret, Martin Jaggi, Amirkeivan Mohtashami, Matteo Pagliardini p136479-136508 from Advances in Neural Information Processing Systems 37
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  • DenseFusion-1M: Merging Vision Experts for Comprehensive Multimodal Perception

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DenseFusion-1M: Merging Vision Experts for Comprehensive Multimodal Perception

    Haiwen Diao, Ling-Yu Duan, Xiaotong Li, Xinlong Wang, Yueze Wang, Fan Zhang p18535-18556 from Advances in Neural Information Processing Systems 37
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  • Density of States Prediction of Crystalline Materials via Prompt-guided Multi-Modal Transformer

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Density of States Prediction of Crystalline Materials via Prompt-guided Multi-Modal Transformer

    Dongmin Hyun, Sungwon Kim, Namkyeong Lee, Gyoung S. Na, Heewoong Noh, Chanyoung Park p61678-61698 from Advances in Neural Information Processing Systems 36
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  • Density-based User Representation using Gaussian Process Regression for Multi-interest Personalized Retrieval

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Density-based User Representation using Gaussian Process Regression for Multi-interest Personalized Retrieval

    Craig Boutilier, Fernando Diaz, Maryam Karimzadehgan, Xue Liu, Ofer Meshi, Haolun Wu, Masrour Zoghi p52568-52594 from Advances in Neural Information Processing Systems 37
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  • Density-Driven Regularization for Out-Of-Distribution Detection

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Density-Driven Regularization for Out-Of-Distribution Detection

    Wenjian Huang, Hao Wang, Chengyan Wang, Jiahao Xia, Jianguo Zhang p887-900 from Advances in Neural Information Processing Systems 35
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  • DePLM: Denoising Protein Language Models for Property Optimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DePLM: Denoising Protein Language Models for Property Optimization

    Huajun Chen, Keyan Ding, Xiaotong Li, Ming Qin, Zeyuan Wang, Jianhua Yao, Qiang Zhang, Yu Zhao, Xiang Zhuang p75302-75328 from Advances in Neural Information Processing Systems 37
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  • DEPrune: Depth-wise Separable Convolution Pruning for Maximizing GPU Parallelism

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DEPrune: Depth-wise Separable Convolution Pruning for Maximizing GPU Parallelism

    Seokjin Go, Suhyun Kim, Hyunchan Moon, Cheonjun Park, Mincheol Park, Won Woo Ro, Myung Kuk Yoon p106906-106923 from Advances in Neural Information Processing Systems 37
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  • Depth Anything V2

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Depth Anything V2

    Jiashi Feng, Zilong Huang, Bingyi Kang, Xiaogang Xu, Lihe Yang, Hengshuang Zhao, Zhen Zhao p21875-21911 from Advances in Neural Information Processing Systems 37
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  • Depth Anywhere: Enhancing 360 Monocular Depth Estimation via Perspective Distillation and Unlabeled Data Augmentation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Depth Anywhere: Enhancing 360 Monocular Depth Estimation via Perspective Distillation and Unlabeled Data Augmentation

    Yu-Lun Liu, Ning-Hsu Wang p127739-127764 from Advances in Neural Information Processing Systems 37
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  • Depth is More Powerful than Width with Prediction Concatenation in Deep Forest

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Depth is More Powerful than Width with Prediction Concatenation in Deep Forest

    Yi-Xiao He, Shen-Huan Lyu, Zhi-Hua Zhou p29719-29732 from Advances in Neural Information Processing Systems 35
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  • Depth-discriminative Metric Learning for Monocular 3D Object Detection

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Depth-discriminative Metric Learning for Monocular 3D Object Detection

    Wonhyeok Choi, Sunghoon Im, Mingyu Shin p80165-80177 from Advances in Neural Information Processing Systems 36
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  • Derandomized novelty detection with FDR control via conformal e-values

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Derandomized novelty detection with FDR control via conformal e-values

    Meshi Bashari, Amir Epstein, Yaniv Romano, Matteo Sesia p65585-65596 from Advances in Neural Information Processing Systems 36
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  • Derandomizing Multi-Distribution Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Derandomizing Multi-Distribution Learning

    Kasper Green Larsen, Omar Montasser, Nikita Zhivotovskiy p94246-94264 from Advances in Neural Information Processing Systems 37
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  • Derivative-enhanced Deep Operator Network

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Derivative-enhanced Deep Operator Network

    Nolan Bridges, Peng Chen, Yuan Qiu p20945-20981 from Advances in Neural Information Processing Systems 37
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  • Derivatives of Stochastic Gradient Descent in parametric optimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Derivatives of Stochastic Gradient Descent in parametric optimization

    Franck Iutzeler, Edouard Pauwels, Samuel Vaiter p118859-118882 from Advances in Neural Information Processing Systems 37
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  • Descent Steps of a Relation-Aware Energy Produce Heterogeneous Graph Neural Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Descent Steps of a Relation-Aware Energy Produce Heterogeneous Graph Neural Networks

    Hongjoon Ahn, Quan Gan, Taesup Moon, David P Wipf, Yongyi Yang p38436-38448 from Advances in Neural Information Processing Systems 35
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  • DesCo: Learning Object Recognition with Rich Language Descriptions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DesCo: Learning Object Recognition with Rich Language Descriptions

    Kai-Wei Chang, Zi-Yi Dou, Liunian Li, Nanyun Peng p37511-37526 from Advances in Neural Information Processing Systems 36
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