Paper

  • FEEL-SNN: Robust Spiking Neural Networks with Frequency Encoding and Evolutionary Leak Factor

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    FEEL-SNN: Robust Spiking Neural Networks with Frequency Encoding and Evolutionary Leak Factor

    De Ma, Gang Pan, HuaJin Tang, Mengting Xu, Qian Zheng p91930-91950 from Advances in Neural Information Processing Systems 37
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  • Feint Behaviors and Strategies: Formalization, Implementation and Evaluation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Feint Behaviors and Strategies: Formalization, Implementation and Evaluation

    Junyu Liu, Xiangjun Peng p3514-3542 from Advances in Neural Information Processing Systems 37
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  • FELM: Benchmarking Factuality Evaluation of Large Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    FELM: Benchmarking Factuality Evaluation of Large Language Models

    Shiqi Chen, I-Chun Chern, Siyang Gao, Junxian He, Pengfei Liu, Jinghan Zhang, Yiran Zhao p44502-44523 from Advances in Neural Information Processing Systems 36
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  • FeLMi : Few Shot Learning with Hard Mixup

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    FeLMi : Few Shot Learning with Hard Mixup

    Rama Chellappa, Anoop Cherian, Prithviraj Dhar, Aniket Roy, Anshul Shah, Ketul Shah p24474-24486 from Advances in Neural Information Processing Systems 35
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  • FEM BASED ENGINEERING APPROACH TO ASSESS THE BEARING STRENGTH OF GLT MEMBERS WITH HOLES AND NOTCHES

    World Conference on Timber Engineering 2025

    FEM BASED ENGINEERING APPROACH TO ASSESS THE BEARING STRENGTH OF GLT MEMBERS WITH HOLES AND NOTCHES

    Markus Detter, Georg Hochreiner, Markus Lukacevic, Josef Füssl p2138-2146 from 14th World Conference on Timber Engineering 2025 (WCTE 2025)
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  • Female International Students in Engineering: A Qualitative Review

    Research In Engineering Education Network

    Female International Students in Engineering: A Qualitative Review

    Wenqian Gan, Anne Gardner, Scott Daniel p942-950 from 9th Research in Engineering Education Symposium and 32nd Australasian Association for Engineering Education Conference (REES AAEE 2021)
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  • FERERO: A Flexible Framework for Preference-Guided Multi-Objective Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    FERERO: A Flexible Framework for Preference-Guided Multi-Objective Learning

    Lisha Chen, Tianyi Chen, AFM Saif, Yanning Shen p18758-18805 from Advances in Neural Information Processing Systems 37
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  • Ferrari: Federated Feature Unlearning via Optimizing Feature Sensitivity

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Ferrari: Federated Feature Unlearning via Optimizing Feature Sensitivity

    Chee Chan, Lixin Fan, Hanlin Gu, Win Ong p24150-24180 from Advances in Neural Information Processing Systems 37
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  • FERROCEMENT WOODEN HOUSE: LEARNING FROM POST-DISASTER RECONSTRUCTION IN INDONESIA

    World Conference on Timber Engineering 2023 (WCTE 2023)

    FERROCEMENT WOODEN HOUSE: LEARNING FROM POST-DISASTER RECONSTRUCTION IN INDONESIA

    Andry Widyowijatnoko, Dibya Kusyala, Fajar Ikhwan Harnomo p4151-4156 from World Conference on Timber Engineering (WCTE 2023)
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  • FETA: Towards Specializing Foundational Models for Expert Task Applications

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    FETA: Towards Specializing Foundational Models for Expert Task Applications

    Amit Alfassy, Assaf Arbelle, Christoph Auer, Michele Dolfi, Rogerio Feris, Oshri Halimi, Sivan Harary, Roei Herzig, Leonid Karlinsky, Rameswar Panda, Kate Saenko, Eli Schwartz, Peter Staar p29873-29888 from Advances in Neural Information Processing Systems 35
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  • Fetch and Forge: Efficient Dataset Condensation for Object Detection

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Fetch and Forge: Efficient Dataset Condensation for Object Detection

    Shuguang Dou, Jialin Li, Jian Li, Jinlong Peng, Ding Qi, Chengjie Wang, Yabiao Wang, Jiangning Zhang, Bo Zhao, Cairong Zhao p119283-119300 from Advances in Neural Information Processing Systems 37
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  • FETV: A Benchmark for Fine-Grained Evaluation of Open-Domain Text-to-Video Generation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    FETV: A Benchmark for Fine-Grained Evaluation of Open-Domain Text-to-Video Generation

    Sishuo Chen, Rundong Gao, Lu Hou, Lei Li, Shicheng Li, Yuanxin Liu, Shuhuai Ren, Xu Sun p62352-62387 from Advances in Neural Information Processing Systems 36
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