Paper

  • Indicators of Attack Failure: Debugging and Improving Optimization of Adversarial Examples

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Indicators of Attack Failure: Debugging and Improving Optimization of Adversarial Examples

    Maura Pintor, Luca Demetrio, Angelo Sotgiu, Ambra Demontis, Nicholas Carlini, Battista Biggio, Fabio Roli p23063-23076 from Advances in Neural Information Processing Systems 35
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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, Yingbo Zhou, Caiming Xiong, Silvio Savarese, Doyen Sahoo 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

    Ashwin Sankar, Srija Anand, Praveen Varadhan, Sherry Thomas, Mehak Singal, Shridhar Kumar, Deovrat Mehendale, Aditi Krishana, Giri Raju, Mitesh Khapra 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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  • Individual Arbitrariness and Group Fairness

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Individual Arbitrariness and Group Fairness

    Carol Long, Hsiang Hsu, Wael Alghamdi, Flavio Calmon p68602-68624 from Advances in Neural Information Processing Systems 36
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  • Individualized Dosing Dynamics via Neural Eigen Decomposition

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Individualized Dosing Dynamics via Neural Eigen Decomposition

    Stav Belogolovsky, Ido Greenberg, Danny Eytan, Shie Mannor p56211-56233 from Advances in Neural Information Processing Systems 36
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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

    Prasenjit Karmakar, Swadhin Pradhan, Sandip Chakraborty 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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  • Inducing Equilibria Via Incentives: Simultaneous Design-And-Play Ensures Global Convergence

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Inducing Equilibria Via Incentives: Simultaneous Design-And-Play Ensures Global Convergence

    Boyi Liu, Jiayang Li, Zhuoran Yang, Hoi-To Wai, Mingyi Hong, Yu Nie, Zhaoran Wang p29001-29013 from Advances in Neural Information Processing Systems 35
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  • Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnable Classifier at the End of Deep Neural Network?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnable Classifier at the End of Deep Neural Network?

    Yibo Yang, Shixiang Chen, Xiangtai Li, Liang Xie, Zhouchen Lin, Dacheng Tao p37991-38002 from Advances in Neural Information Processing Systems 35
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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

    Samuel Lippl, Jack Lindsey p118745-118776 from Advances in Neural Information Processing Systems 37
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  • Inductive Logical Query Answering in Knowledge Graphs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Inductive Logical Query Answering in Knowledge Graphs

    Michael Galkin, Zhaocheng Zhu, Hongyu Ren, Jian Tang p15230-15243 from Advances in Neural Information Processing Systems 35
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