Paper

  • 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 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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  • Defining Academic Engineering Education Roles within the United States

    Research In Engineering Education Network

    Defining Academic Engineering Education Roles within the United States

    Cheryl A. Bodnar, Erin J. McCave, Courtney Smith-Orr, Alexandra Coso Strong, Courtney Faber, Walter Lee p678-686 from 9th Research in Engineering Education Symposium and 32nd Australasian Association for Engineering Education Conference (REES AAEE 2021)
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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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  • DEFLECTION OF CANTILEVER CROSS-LAMINATED TIMBER DIAPHRAGMS UNDER IN-PLANE LOAD

    World Conference on Timber Engineering 2023 (WCTE 2023)

    DEFLECTION OF CANTILEVER CROSS-LAMINATED TIMBER DIAPHRAGMS UNDER IN-PLANE LOAD

    Bibek Bhardwaj, Weichiang Pang, Michael Stoner, Douglas Rammer, Steve Pryor p2792-2797 from World Conference on Timber Engineering (WCTE 2023)
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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

    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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  • 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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