Paper

  • DeepTOP: Deep Threshold-Optimal Policy for MDPs and RMABs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DeepTOP: Deep Threshold-Optimal Policy for MDPs and RMABs

    Khaled Nakhleh, I-Hong Hou p28734-28746 from Advances in Neural Information Processing Systems 35
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  • 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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  • Defect Detection in Mechanical Hardware Using AI and Vision Technology

    International Astronautical Federation (IAF)

    Defect Detection in Mechanical Hardware Using AI and Vision Technology

    Achindev J, Kumar K, Harikrishnan R, Asha Gs, Yaddula Venkata Swarnalatha p185-195 from AI Impact & Autonomy on Space Exploration
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  • Defect Localization Using Free-Floating Unconventional ILI Tools Without AGMs

    Clarion Technical Conferences

    Defect Localization Using Free-Floating Unconventional ILI Tools Without AGMs

    Matthew Kindree, Shannon Campbell, Anouk van Pol, John van Pol p393-406 from 34th International Pipeline Pigging and Integrity Management Conference (PPIM 2022)
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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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  • DEFIANT-XL: A Configurable High-Performance Microsatellite Platform for Modern Satellite Missions

    International Astronautical Federation (IAF)

    DEFIANT-XL: A Configurable High-Performance Microsatellite Platform for Modern Satellite Missions

    Suraj Sridharan, Simon Grocott, Bryan Johnston-Lemke, Benoit Larouche, Robert Zee p558-567 from 32nd IAA Symposium on Small Satellite Missions
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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 Admissible Maneuvers and Resulting Reachability Sets in the Three-Body Problem using Hamiltonian Normal Form Methods

    International Astronautical Federation (IAF)

    Defining Admissible Maneuvers and Resulting Reachability Sets in the Three-Body Problem using Hamiltonian Normal Form Methods

    David Schwab, Roshan Eapen, Puneet Singla p1628-1640 from IAF Astrodynamics Symposium
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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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