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

    Yang Yue, Yulin Wang, Bingyi Kang, Yizeng Han, Shenzhi Wang, Shiji Song, Jiashi Feng, Gao Huang p56619-56643 from Advances in Neural Information Processing Systems 37
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  • Defending Against Adversarial Attacks Via Neural Dynamic System

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Defending Against Adversarial Attacks Via Neural Dynamic System

    Xiyuan Li, Zou Xin, Weiwei Liu p6372-6383 from Advances in Neural Information Processing Systems 35
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  • Defending against Data-Free Model Extraction by Distributionally Robust Defensive Training

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Defending against Data-Free Model Extraction by Distributionally Robust Defensive Training

    Zhenyi Wang, Li Shen, Tongliang Liu, Tiehang Duan, Yanjun Zhu, Donglin Zhan, David Doermann, Mingchen Gao p624-637 from Advances in Neural Information Processing Systems 36
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  • Defending Multimodal Backdoored Models by Repulsive Visual Prompt Tuning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Defending Multimodal Backdoored Models by Repulsive Visual Prompt Tuning

    Zhifang Zhang, Shuo He, Haobo Wang, Bingquan Shen, Lei Feng p186501-186528 from Advances in Neural Information Processing Systems 38
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  • Defending Pre-trained Language Models as Few-shot Learners against Backdoor Attacks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Defending Pre-trained Language Models as Few-shot Learners against Backdoor Attacks

    Zhaohan Xi, Tianyu Du, Changjiang Li, Ren Pang, Shouling Ji, Jinghui Chen, Fenglong Ma, Ting Wang p32748-32764 from Advances in Neural Information Processing Systems 36
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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

    Yimeng Zhang, Xin Chen, Jinghan Jia, Yihua Zhang, Chongyu Fan, Jiancheng Liu, Mingyi Hong, Ke Ding, Sijia Liu p36748-36776 from Advances in Neural Information Processing Systems 37
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  • Deferring Concept Bottleneck Models: Learning to Defer Interventions to Inaccurate Experts

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Deferring Concept Bottleneck Models: Learning to Defer Interventions to Inaccurate Experts

    Andrea Pugnana, Riccardo Massidda, Francesco Giannini, Pietro Barbiero, Mateo Espinosa Zarlenga, Roberto Pellungrini, Gabriele Dominici, Fosca Giannotti, Davide Bacciu p75753-75808 from Advances in Neural Information Processing Systems 38
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  • Defining and Characterizing Reward Hacking

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Defining and Characterizing Reward Hacking

    Joar Skalse, Nikolaus Howe, Dmitrii Krasheninnikov, David Krueger p9460-9471 from Advances in Neural Information Processing Systems 35
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  • Defining and Discovering Hyper-meta-paths for Heterogeneous Hypergraphs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Defining and Discovering Hyper-meta-paths for Heterogeneous Hypergraphs

    Yaming Yang, Ziyu Zheng, Weigang Lu, Zhe Wang, Xinyan Huang, Wei Zhao, Ziyu Guan p48243-48267 from Advances in Neural Information Processing Systems 38
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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: Decompositional Efficient Fine-Tuning for Text-to-Image Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DEFT: Decompositional Efficient Fine-Tuning for Text-to-Image Models

    Komal Kumar, Rao Anwer, Fahad Shahbaz Khan, Salman Khan, Ivan Laptev, Hisham Cholakkal p113079-113105 from Advances in Neural Information Processing Systems 38
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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

    Alexander Denker, Francisco Vargas, Shreyas Padhy, Kieran Didi, Simon Mathis, Vincent Dutordoir, Riccardo Barbano, Emile Mathieu, Urszula Komorowska, Pietro Lio p19636-19682 from Advances in Neural Information Processing Systems 37
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  • DEGauss: Defending Against Malicious 3D Editing for Gaussian Splatting

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DEGauss: Defending Against Malicious 3D Editing for Gaussian Splatting

    Lingzhuang Meng, Mingwen Shao, Yuanjian Qiao, Xiang Lv p130061-130079 from Advances in Neural Information Processing Systems 38
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  • Degradation-Aware Dynamic Schrödinger Bridge for Unpaired Image Restoration

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Degradation-Aware Dynamic Schrödinger Bridge for Unpaired Image Restoration

    Jingjun Yi, Qi Bi, Hao Zheng, Huimin Huang, Yixian Shen, Haolan Zhan, Wei Ji, Yawen Huang, Yuexiang Li, Xian Wu, Yefeng Zheng p2740-2764 from Advances in Neural Information Processing Systems 38
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  • Degradation-Aware Unfolding Half-Shuffle Transformer for Spectral Compressive Imaging

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Degradation-Aware Unfolding Half-Shuffle Transformer for Spectral Compressive Imaging

    Yuanhao Cai, Jing Lin, Haoqian Wang, Xin Yuan, Henghui Ding, Yulun Zhang, Radu Timofte, Luc V Gool p37749-37761 from Advances in Neural Information Processing Systems 35
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  • Degraded Polygons Raise Fundamental Questions of Neural Network Perception

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Degraded Polygons Raise Fundamental Questions of Neural Network Perception

    Leonard Tang, Dan Ley p9695-9706 from Advances in Neural Information Processing Systems 36
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  • Degrees of Freedom for Linear Attention: Distilling Softmax Attention with Optimal Feature Efficiency

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Degrees of Freedom for Linear Attention: Distilling Softmax Attention with Optimal Feature Efficiency

    Naoki Nishikawa, Rei Higuchi, Taiji Suzuki p153340-153365 from Advances in Neural Information Processing Systems 38
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  • DeiSAM: Segment Anything with Deictic Prompting

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DeiSAM: Segment Anything with Deictic Prompting

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

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Déjà Vu Memorization in Vision–Language Models

    Bargav Jayaraman, Chuan Guo, Kamalika Chaudhuri 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

    Jiaxu Wang, Jingkai Sun, Junhao He, Ziyi Zhang, Qiang Zhang, Mingyuan Sun, Renjing Xu p45703-45736 from Advances in Neural Information Processing Systems 37
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  • Delayed Algorithms for Distributed Stochastic Weakly Convex Optimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Delayed Algorithms for Distributed Stochastic Weakly Convex Optimization

    Wenzhi Gao, Qi Deng p22754-22793 from Advances in Neural Information Processing Systems 36
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  • Delegated Classification

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Delegated Classification

    Eden Saig, Inbal Talgam-Cohen, Nir Rosenfeld p13200-13236 from Advances in Neural Information Processing Systems 36
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  • Deliberated Domain Bridging for Domain Adaptive Semantic Segmentation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Deliberated Domain Bridging for Domain Adaptive Semantic Segmentation

    Lin Chen, Zhixiang Wei, Xin Jin, Huaian Chen, Miao Zheng, Kai Chen, Yi Jin p15105-15118 from Advances in Neural Information Processing Systems 35
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  • Deliberation on Priors: Trustworthy Reasoning of Large Language Models on Knowledge Graphs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Deliberation on Priors: Trustworthy Reasoning of Large Language Models on Knowledge Graphs

    Jie Ma, NING QU, Zhitao Gao, Xing Rui, Jun Liu, Hongbin Pei, Jiang Xie, Lingyun Song, Pinghui Wang, Jing Tao, su zhou p137242-137266 from Advances in Neural Information Processing Systems 38
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