Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • DeeR-VLA: Dynamic Inference of Multimodal Large Language Models for Efficient Robot Execution

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DeeR-VLA: Dynamic Inference of Multimodal Large Language Models for Efficient Robot Execution

    Jiashi Feng, Yizeng Han, Gao Huang, Bingyi Kang, Shiji Song, Shenzhi Wang, Yulin Wang, Yang Yue p56619-56643 from Advances in Neural Information Processing Systems 37
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  • Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models

    Xin Chen, Ke Ding, Chongyu Fan, Mingyi Hong, Jinghan Jia, Jiancheng Liu, Sijia Liu, Yihua Zhang, Yimeng Zhang p36748-36776 from Advances in Neural Information Processing Systems 37
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  • DeformableTST: Transformer for Time Series Forecasting without Over-reliance on Patching

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DeformableTST: Transformer for Time Series Forecasting without Over-reliance on Patching

    Donghao Luo, Xue Wang p88003-88044 from Advances in Neural Information Processing Systems 37
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  • DEFT: Efficient Fine-tuning of Diffusion Models by Learning the Generalised $h$-transform

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DEFT: Efficient Fine-tuning of Diffusion Models by Learning the Generalised $h$-transform

    Riccardo Barbano, Alexander Denker, Kieran Didi, Vincent Dutordoir, Urszula Komorowska, Pietro Lio, Emile Mathieu, Simon Mathis, Shreyas Padhy, Francisco Vargas p19636-19682 from Advances in Neural Information Processing Systems 37
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  • DeiSAM: Segment Anything with Deictic Prompting

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DeiSAM: Segment Anything with Deictic Prompting

    Manuel Brack, Devendra Dhami, Kristian Kersting, Patrick Schramowski, Hikaru Shindo, Gopika Sudhakaran p52266-52295 from Advances in Neural Information Processing Systems 37
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  • DĂ©jĂ  Vu Memorization in Vision–Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Déjà Vu Memorization in Vision–Language Models

    Kamalika Chaudhuri, Chuan Guo, Bargav Jayaraman p50722-50749 from Advances in Neural Information Processing Systems 37
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  • DEL: Discrete Element Learner for Learning 3D Particle Dynamics with Neural Rendering

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DEL: Discrete Element Learner for Learning 3D Particle Dynamics with Neural Rendering

    Junhao He, Jingkai Sun, Mingyuan Sun, Jiaxu Wang, Renjing Xu, Qiang Zhang, Ziyi Zhang p45703-45736 from Advances in Neural Information Processing Systems 37
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  • Delta-CoMe: Training-Free Delta-Compression with Mixed-Precision for Large Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Delta-CoMe: Training-Free Delta-Compression with Mixed-Precision for Large Language Models

    Baobao Chang, Yun Chen, Xu Han, Zhiyuan Liu, Bowen Ping, Maosong Sun, Hanqing Wang, Shuo Wang, Yuzhuang Xu, Yukun Yan p31056-31077 from Advances in Neural Information Processing Systems 37
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  • DeltaDEQ: Exploiting Heterogeneous Convergence for Accelerating Deep Equilibrium Iterations

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DeltaDEQ: Exploiting Heterogeneous Convergence for Accelerating Deep Equilibrium Iterations

    Longbiao Cheng, Niklas Hahn, Shih-Chii Liu, Pehuen Moure, Zuowen Wang p57564-57590 from Advances in Neural Information Processing Systems 37
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  • DeltaDock: A Unified Framework for Accurate, Efficient, and Physically Reliable Molecular Docking

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DeltaDock: A Unified Framework for Accurate, Efficient, and Physically Reliable Molecular Docking

    Qi Liu, Jianfeng Pei, Jiaxian Yan, Kai Zhang, Zaixi Zhang, Jintao Zhu p113282-113310 from Advances in Neural Information Processing Systems 37
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  • Delving into the Reversal Curse: How Far Can Large Language Models Generalize?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Delving into the Reversal Curse: How Far Can Large Language Models Generalize?

    Deng Cai, Zhihang Fu, Binbin Lin, Zhengkai Lin, Kai Liu, Wenxiao Wang, Yue Wu, Liang Xie, Jieping Ye p30686-30726 from Advances in Neural Information Processing Systems 37
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  • DeMo: Decoupling Motion Forecasting into  Directional Intentions and Dynamic States

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DeMo: Decoupling Motion Forecasting into Directional Intentions and Dynamic States

    Nan Song, Bozhou Zhang, Li Zhang p106582-106606 from Advances in Neural Information Processing Systems 37
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  • Demystify Mamba in Vision: A Linear Attention Perspective

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Demystify Mamba in Vision: A Linear Attention Perspective

    Chunjiang Ge, Dongchen Han, Yizeng Han, Gao Huang, Yifan Pu, Jun Song, Shiji Song, Ziyi Wang, Zhuofan Xia, Bo Zheng p127181-127203 from Advances in Neural Information Processing Systems 37
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  • Dendritic Integration Inspired Artificial Neural Networks Capture Data Correlation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Dendritic Integration Inspired Artificial Neural Networks Capture Data Correlation

    Songting Li, Chongming Liu, Jingyang Ma, Douglas Zhou p79325-79349 from Advances in Neural Information Processing Systems 37
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  • DeNetDM: Debiasing by Network Depth Modulation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DeNetDM: Debiasing by Network Depth Modulation

    Abhra Chaudhuri, Anjan Dutta, Adarsh Kappiyath, Silpa Sreelatha p99488-99518 from Advances in Neural Information Processing Systems 37
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  • DenoiseRep: Denoising Model for Representation Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DenoiseRep: Denoising Model for Representation Learning

    Xiaowen Huang, Jitao Sang, Guan'an Wang, Zhengrui Xu p40032-40056 from Advances in Neural Information Processing Systems 37
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  • Denoising Diffusion Path: Attribution Noise Reduction with An Auxiliary Diffusion Model

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Denoising Diffusion Path: Attribution Noise Reduction with An Auxiliary Diffusion Model

    Yiming Lei, Zilong Li, Hongming Shan, Junping Zhang p54003-54025 from Advances in Neural Information Processing Systems 37
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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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  • 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-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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  • 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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