Paper

  • Incremental Learning of Retrievable Skills For Efficient Continual Task Adaptation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Incremental Learning of Retrievable Skills For Efficient Continual Task Adaptation

    Wonje Choi, Woo Kyung Kim, Daehee Lee, Honguk Woo, Minjong Yoo p17286-17312 from Advances in Neural Information Processing Systems 37
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  • INDICT: Code Generation with Internal Dialogues of Critiques for Both Security and Helpfulness

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    INDICT: Code Generation with Internal Dialogues of Critiques for Both Security and Helpfulness

    Hung Le, Sahoo, Silvio Savarese, Caiming Xiong, Yingbo Zhou p85546-85582 from Advances in Neural Information Processing Systems 37
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  • IndicVoices-R: Unlocking a Massive Multilingual Multi-speaker Speech Corpus for Scaling Indian TTS

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    IndicVoices-R: Unlocking a Massive Multilingual Multi-speaker Speech Corpus for Scaling Indian TTS

    Srija Anand, Mitesh Khapra, Aditi Krishana, Shridhar Kumar, Deovrat Mehendale, Giri Raju, Ashwin Sankar, Mehak Singal, Sherry Thomas, Praveen Varadhan p68161-68182 from Advances in Neural Information Processing Systems 37
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  • Indigenous Knowledges and Perspectives in Engineering Education: Team Reflections on a Series of Faculty Workshops

    Research In Engineering Education Network

    Indigenous Knowledges and Perspectives in Engineering Education: Team Reflections on a Series of Faculty Workshops

    Jillian Seniuk Cicek, Afua Adobea Mante, Randy Herrmann, Marcia Friesen p696-704 from 9th Research in Engineering Education Symposium and 32nd Australasian Association for Engineering Education Conference (REES AAEE 2021)
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  • Indoor Air Quality Dataset with Activities of Daily Living in Low to Middle-income Communities

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Indoor Air Quality Dataset with Activities of Daily Living in Low to Middle-income Communities

    Sandip Chakraborty, Prasenjit Karmakar, Swadhin Pradhan p70076-70100 from Advances in Neural Information Processing Systems 37
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  • Induced Model Matching: Restricted Models Help Train Full-Featured Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Induced Model Matching: Restricted Models Help Train Full-Featured Models

    Usama Muneeb, Mesrob Ohannessian p62617-62647 from Advances in Neural Information Processing Systems 37
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  • Inductive biases of multi-task learning and finetuning: multiple regimes of feature reuse

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Inductive biases of multi-task learning and finetuning: multiple regimes of feature reuse

    Jack Lindsey, Samuel Lippl p118745-118776 from Advances in Neural Information Processing Systems 37
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  • INDUSTRIAL PROCESS STEAM GENERATION FROM DEEP GEOTHERMAL RESERVOIRS

    ECOS 2024

    INDUSTRIAL PROCESS STEAM GENERATION FROM DEEP GEOTHERMAL RESERVOIRS

    Sven Klute, Marcus Budt, Mathias van Beek p323-334 from 37th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2024)
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  • INDUSTRIAL ROBOTS FOR GLT MACHINING: BASICS AND BEYOND

    World Conference on Timber Engineering 2025

    INDUSTRIAL ROBOTS FOR GLT MACHINING: BASICS AND BEYOND

    Marc Pantscharowitsch, Benjamin Kromoser p1732-1741 from 14th World Conference on Timber Engineering 2025 (WCTE 2025)
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  • Industry Field Trips: Educator and Student Perspectives

    Research In Engineering Education Network

    Industry Field Trips: Educator and Student Perspectives

    Beverly Coulter, Tony Heynen, Shaun Cheng p1149-1149 from 9th Research in Engineering Education Symposium and 32nd Australasian Association for Engineering Education Conference (REES AAEE 2021)
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  • Inevitable Trade-off between Watermark Strength and Speculative Sampling Efficiency for Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Inevitable Trade-off between Watermark Strength and Speculative Sampling Efficiency for Language Models

    Zhengmian Hu, Heng Huang p55370-55402 from Advances in Neural Information Processing Systems 37
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  • Inexact Augmented Lagrangian Methods for Conic Optimization: Quadratic Growth and Linear Convergence

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Inexact Augmented Lagrangian Methods for Conic Optimization: Quadratic Growth and Linear Convergence

    Lijun Ding, Feng-Yi Liao, Yang Zheng p41013-41050 from Advances in Neural Information Processing Systems 37
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