Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Neural Information Processing Systems Foundation, Inc. (NeurIPS)

DenseDPO: Fine-Grained Temporal Preference Optimization for Video Diffusion Models

Ziyi Wu, Anil Kag, Ivan Skorokhodov, Willi Menapace, Ashkan Mirzaei, Igor Gilitschenski, Sergey Tulyakov, Aliaksandr Siarohin p190099-190135 from Advances in Neural Information Processing Systems 38

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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

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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

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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

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Density Ratio-Free Doubly Robust Proxy Causal Learning

Bariscan Bozkurt, Houssam Zenati, Dimitri Meunier, Liyuan Xu, Arthur Gretton p66283-66342 from Advances in Neural Information Processing Systems 38

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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

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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

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DePass: Unified Feature Attributing by Simple Decomposed Forward Pass

Xiangyu Hong, Che Jiang, Kai Tian, Biqing Qi, Youbang Sun, Ning Ding, Bowen Zhou p163786-163822 from Advances in Neural Information Processing Systems 38

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Dependency Matters: Enhancing LLM Reasoning with Explicit Knowledge Grounding

Xiangyu Wen, Min Li, Junhua Huang, Jianyuan Zhong, Zhijian Xu, Zeju Li, Yongxiang Huang, Mingxuan Yuan, Qiang Xu p64616-64642 from Advances in Neural Information Processing Systems 38

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Dependency Parsing is More Parameter-Efficient with Normalization

Paolo Gajo, Domenic Rosati, Hassan Sajjad, Alberto Barrón-Cedeño p158951-158981 from Advances in Neural Information Processing Systems 38

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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

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Deployment Efficient Reward-Free Exploration with Linear Function Approximation

Zihan Zhang, Yuxin Chen, Jason Lee, Simon Du, Lin Yang, Ruosong Wang p28687-28722 from Advances in Neural Information Processing Systems 38

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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

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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

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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

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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

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Depth-Bounds for Neural Networks via the Braid Arrangement

Moritz Grillo, Christoph Hertrich, Georg Loho p141727-141745 from Advances in Neural Information Processing Systems 38

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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

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Depth-Supervised Fusion Network for Seamless-Free Image Stitching

Zhiying Jiang, Ruhao Yan, Zengxi Zhang, Bowei Zhang, Jinyuan Liu p144424-144443 from Advances in Neural Information Processing Systems 38

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Depth-Width Tradeoffs for Transformers on Graph Tasks

Gilad Yehudai, Clayton Sanford, Maya Bechler-Speicher, Orr Fischer, Ran Gilad-Bachrach, Amir Globerson p26041-26073 from Advances in Neural Information Processing Systems 38

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DepthVanish: Optimizing Adversarial Interval Structures for Stereo-Depth-Invisible Patches

Yun Xing, Yue Cao, Nhat Chung, Jie Zhang, Ivor Tsang, Ming-Ming Cheng, Yang Liu, Lei Ma, Qing Guo p2235-2254 from Advances in Neural Information Processing Systems 38

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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

Kasper Green Larsen, Omar Montasser, Nikita Zhivotovskiy p94246-94264 from Advances in Neural Information Processing Systems 37

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DERD-Net: Learning Depth from Event-based Ray Densities

Diego de Oliveira Hitzges, Suman Ghosh, Guillermo Gallego p1079-1103 from Advances in Neural Information Processing Systems 38

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

DenseDPO: Fine-Grained Temporal Preference Optimization for Video Diffusion Models

DenseFormer: Enhancing Information Flow in Transformers via Depth Weighted Averaging

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

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

Density Ratio-Free Doubly Robust Proxy Causal Learning

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

Density-Driven Regularization for Out-Of-Distribution Detection

DePass: Unified Feature Attributing by Simple Decomposed Forward Pass

Dependency Matters: Enhancing LLM Reasoning with Explicit Knowledge Grounding

Dependency Parsing is More Parameter-Efficient with Normalization

DePLM: Denoising Protein Language Models for Property Optimization

Deployment Efficient Reward-Free Exploration with Linear Function Approximation

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

Depth Anything V2

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

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

Depth-Bounds for Neural Networks via the Braid Arrangement

Depth-discriminative Metric Learning for Monocular 3D Object Detection

Depth-Supervised Fusion Network for Seamless-Free Image Stitching

Depth-Width Tradeoffs for Transformers on Graph Tasks

DepthVanish: Optimizing Adversarial Interval Structures for Stereo-Depth-Invisible Patches

Derandomized novelty detection with FDR control via conformal e-values

Derandomizing Multi-Distribution Learning

DERD-Net: Learning Depth from Event-based Ray Densities

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