Paper

  • On the Effects of Data Scale on UI Control Agents

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Effects of Data Scale on UI Control Agents

    Wei Li, William Bishop, Alice Li, Chris Rawles, Folawiyo Campbell-Ajala, Divya Tyamagundlu, Oriana Riva p92130-92154 from Advances in Neural Information Processing Systems 37
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  • On the Efficiency of ERM in Feature Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Efficiency of ERM in Feature Learning

    Ayoub Hanchi, Chris Maddison, Murat Erdogdu p98596-98624 from Advances in Neural Information Processing Systems 37
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  • On the Efficient Implementation of High Accuracy Optimality of Profile Maximum Likelihood

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Efficient Implementation of High Accuracy Optimality of Profile Maximum Likelihood

    Moses Charikar, Zhihao Jiang, Kirankumar Shiragur, Aaron Sidford p6478-6491 from Advances in Neural Information Processing Systems 35
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  • On the Epistemic Limits of Personalized Prediction

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Epistemic Limits of Personalized Prediction

    Lucas Monteiro Paes, Carol Long, Berk Ustun, Flavio Calmon p1979-1991 from Advances in Neural Information Processing Systems 35
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  • On the explainable properties of 1-Lipschitz Neural Networks: An Optimal Transport Perspective

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the explainable properties of 1-Lipschitz Neural Networks: An Optimal Transport Perspective

    Mathieu Serrurier, Franck Mamalet, Thomas Fel, Louis Béthune, Thibaut Boissin p54645-54682 from Advances in Neural Information Processing Systems 36
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  • On the Exploitability of Instruction Tuning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Exploitability of Instruction Tuning

    Manli Shu, Jiongxiao Wang, Chen Zhu, Jonas Geiping, Chaowei Xiao, Tom Goldstein p61836-61856 from Advances in Neural Information Processing Systems 36
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  • On the Exploration of Local Significant Differences For Two-Sample Test

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Exploration of Local Significant Differences For Two-Sample Test

    Zhijian Zhou, Jie Ni, Jia-He Yao, Wei Gao p5262-5300 from Advances in Neural Information Processing Systems 36
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  • On the Expressive Power of Tree-Structured Probabilistic Circuits

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Expressive Power of Tree-Structured Probabilistic Circuits

    Lang Yin, Han Zhao p73830-73857 from Advances in Neural Information Processing Systems 37
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  • On the Expressivity and Sample Complexity of Node-Individualized Graph Neural Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Expressivity and Sample Complexity of Node-Individualized Graph Neural Networks

    Paolo Pellizzoni, Till Hendrik Schulz, Dexiong Chen, Karsten Borgwardt p120221-120251 from Advances in Neural Information Processing Systems 37
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  • On the Frequency-Bias of Coordinate-MLPs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Frequency-Bias of Coordinate-MLPs

    Sameera Ramasinghe, Lachlan E. Macdonald, Simon Lucey p796-809 from Advances in Neural Information Processing Systems 35
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  • On the Future of Exergy-Based Methods

    ECOS 2023

    On the Future of Exergy-Based Methods

    George Tsatsaronis p1-6 from 36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2023)
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  • On the Generalizability and Predictability of Recommender Systems

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On the Generalizability and Predictability of Recommender Systems

    Duncan McElfresh, Sujay Khandagale, Jonathan Valverde, John Dickerson, Colin White p4416-4432 from Advances in Neural Information Processing Systems 35
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