Paper

  • Engineering employability: Local and international student views in an Australian context

    Research In Engineering Education Network

    Engineering employability: Local and international student views in an Australian context

    Iresha Ranaraja, Margaret Jollands, Colin Kestell, Abhijit Date p395-403 from 9th Research in Engineering Education Symposium and 32nd Australasian Association for Engineering Education Conference (REES AAEE 2021)
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  • Engineering Ethics Case Study

    Research In Engineering Education Network

    Engineering Ethics Case Study

    Bouchra Senadji, Elisa Martinez-Marroquin, Lincoln Wood p1127-1127 from 9th Research in Engineering Education Symposium and 32nd Australasian Association for Engineering Education Conference (REES AAEE 2021)
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  • Engineering Futures 2035: Implementing the Vision

    Research In Engineering Education Network

    Engineering Futures 2035: Implementing the Vision

    Carl Reidsema, Rodger Hadgraft, Sally Male p1140-1140 from 9th Research in Engineering Education Symposium and 32nd Australasian Association for Engineering Education Conference (REES AAEE 2021)
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  • Engineering in a pandemic: the impact of remote working and learning on quality of work produced

    Research In Engineering Education Network

    Engineering in a pandemic: the impact of remote working and learning on quality of work produced

    Rao Tan, Melissa Marinelli, Sally Male, Ghulam Mubashar Hassan p224-232 from 9th Research in Engineering Education Symposium and 32nd Australasian Association for Engineering Education Conference (REES AAEE 2021)
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  • Enhance the Visual Representation Via Discrete Adversarial Training

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Enhance the Visual Representation Via Discrete Adversarial Training

    Xiaofeng Mao, Yuefeng Chen, Ranjie Duan, Yao Zhu, Gege Qi, Shaokai Ye, Xiaodan Li, Rong Zhang, Hui Xue' p7520-7533 from Advances in Neural Information Processing Systems 35
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  • Enhanced Bilevel Optimization Via Bregman Distance

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Enhanced Bilevel Optimization Via Bregman Distance

    Feihu Huang, Junyi Li, Shangqian Gao, Heng Huang p28928-28939 from Advances in Neural Information Processing Systems 35
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  • Enhanced Latent Space Blind Model for Real Image Denoising Via Alternative Optimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Enhanced Latent Space Blind Model for Real Image Denoising Via Alternative Optimization

    Chao Ren, Yizhong Pan, Jie Huang p38386-38399 from Advances in Neural Information Processing Systems 35
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  • Enhanced Meta Reinforcement Learning Via Demonstrations in Sparse Reward Environments

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Enhanced Meta Reinforcement Learning Via Demonstrations in Sparse Reward Environments

    Desik Rengarajan, Sapana Chaudhary, Jaewon Kim, Dileep Kalathil, Srinivas Shakkottai p2737-2749 from Advances in Neural Information Processing Systems 35
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  • ENHANCEMENT OF FIRE PROPERTIES IN WOOD FIBER-BASED THERMAL INSULATION FOR ECOLOGICAL NEW CONSTRUCTION AND RENOVATION PROJECTS

    World Conference on Timber Engineering 2025

    ENHANCEMENT OF FIRE PROPERTIES IN WOOD FIBER-BASED THERMAL INSULATION FOR ECOLOGICAL NEW CONSTRUCTION AND RENOVATION PROJECTS

    Jami Järvinen, Hüseyin Emre Ilgin, Markku Karjalainen, Henrik Heräjärvi p5641-5646 from 14th World Conference on Timber Engineering 2025 (WCTE 2025)
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  • Enhancing Adaptive History Reserving by Spiking Convolutional Block Attention Module in Recurrent Neural Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Enhancing Adaptive History Reserving by Spiking Convolutional Block Attention Module in Recurrent Neural Networks

    Qi Xu, Yuyuan Gao, Jiangrong Shen, Yaxin Li, Xuming Ran, Huajin Tang, Gang Pan p58890-58901 from Advances in Neural Information Processing Systems 36
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  • Enhancing Adversarial Contrastive Learning via Adversarial Invariant Regularization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Enhancing Adversarial Contrastive Learning via Adversarial Invariant Regularization

    Xilie Xu, Jingfeng Zhang, Feng Liu, Masashi Sugiyama, Mohan Kankanhalli p16783-16803 from Advances in Neural Information Processing Systems 36
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