Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • Denoising Diffusion Restoration Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Denoising Diffusion Restoration Models

    Bahjat Kawar, Michael Elad, Stefano Ermon, Jiaming Song p23593-23606 from Advances in Neural Information Processing Systems 35
    Our Price: $0.00
  • 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

    Sivan Doveh, Assaf Arbelle, Sivan Harary, Roei Herzig, Donghyun Kim, Paola Cascante-Bonilla, Amit Alfassy, Rameswar Panda, Raja Giryes, Rogerio Feris, Shimon Ullman, Leonid Karlinsky p76137-76150 from Advances in Neural Information Processing Systems 36
    Our Price: $0.00
  • 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

    Benjamin Hoover, Duen Horng Chau, Hendrik Strobelt, Parikshit Ram, Dmitry Krotov p23549-23576 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • Dense Connector for MLLMs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Dense Connector for MLLMs

    Huanjin Yao, Wenhao Wu, Taojiannan Yang, Yuxin Song, Mengxi Zhang, Haocheng Feng, Yifan Sun, Zhiheng Li, Wanli Ouyang, Jingdong Wang p33108-33140 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • Dense Interspecies Face Embedding

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Dense Interspecies Face Embedding

    Sejong Yang, Subin Jeon, Seonghyeon Nam, Seon Joo Kim p33275-33288 from Advances in Neural Information Processing Systems 35
    Our Price: $0.00
  • 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

    Valerii Likhosherstov, Krzysztof M Choromanski, Kumar Avinava Dubey, Frederick Liu, Tamas Sarlos, Adrian Weller p957-985 from Advances in Neural Information Processing Systems 36
    Our Price: $0.00
  • DENSE: Data-Free One-Shot Federated Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DENSE: Data-Free One-Shot Federated Learning

    Jie Zhang, Chen Chen, Bo Li, Lingjuan Lyu, Shuang Wu, Shouhong Ding, Chunhua Shen, Chao Wu p21414-21428 from Advances in Neural Information Processing Systems 35
    Our Price: $0.00
  • 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

    Matteo Pagliardini, Amirkeivan Mohtashami, Francois Fleuret, Martin Jaggi p136479-136508 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • 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

    Xiaotong Li, Fan Zhang, Haiwen Diao, Yueze Wang, Xinlong Wang, Ling-Yu Duan p18535-18556 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • 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

    Namkyeong Lee, Heewoong Noh, Sungwon Kim, Dongmin Hyun, Gyoung S. Na, Chanyoung Park p61678-61698 from Advances in Neural Information Processing Systems 36
    Our Price: $0.00
  • 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

    Haolun Wu, Ofer Meshi, Masrour Zoghi, Fernando Diaz, Xue Liu, Craig Boutilier, Maryam Karimzadehgan p52568-52594 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • 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, Jiahao Xia, Chengyan Wang, Jianguo Zhang p887-900 from Advances in Neural Information Processing Systems 35
    Our Price: $0.00
  • DePLM: Denoising Protein Language Models for Property Optimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DePLM: Denoising Protein Language Models for Property Optimization

    Zeyuan Wang, Keyan Ding, Ming Qin, Xiaotong Li, Xiang Zhuang, Yu Zhao, Jianhua Yao, Qiang Zhang, Huajun Chen p75302-75328 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • 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

    Cheonjun Park, Mincheol Park, Hyunchan Moon, Myung Kuk Yoon, Seokjin Go, Suhyun Kim, Won Woo Ro p106906-106923 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • Depth Anything V2

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Depth Anything V2

    Lihe Yang, Bingyi Kang, Zilong Huang, Zhen Zhao, Xiaogang Xu, Jiashi Feng, Hengshuang Zhao p21875-21911 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • 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

    Ning-Hsu Wang, Yu-Lun Liu p127739-127764 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • 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

    Shen-Huan Lyu, Yi-Xiao He, Zhi-Hua Zhou p29719-29732 from Advances in Neural Information Processing Systems 35
    Our Price: $0.00
  • 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, Mingyu Shin, Sunghoon Im p80165-80177 from Advances in Neural Information Processing Systems 36
    Our Price: $0.00
  • 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
    Our Price: $0.00
  • 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
    Our Price: $0.00
  • Derivative-enhanced Deep Operator Network

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Derivative-enhanced Deep Operator Network

    Yuan Qiu, Nolan Bridges, Peng Chen p20945-20981 from Advances in Neural Information Processing Systems 37
    Our Price: $0.00
  • 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
    Our Price: $0.00
  • 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, Yongyi Yang, Quan Gan, Taesup Moon, David P Wipf p38436-38448 from Advances in Neural Information Processing Systems 35
    Our Price: $0.00
  • DesCo: Learning Object Recognition with Rich Language Descriptions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DesCo: Learning Object Recognition with Rich Language Descriptions

    Liunian Li, Zi-Yi Dou, Nanyun Peng, Kai-Wei Chang p37511-37526 from Advances in Neural Information Processing Systems 36
    Our Price: $0.00