Paper

  • ReNO: Enhancing One-step Text-to-Image Models through Reward-based Noise Optimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    ReNO: Enhancing One-step Text-to-Image Models through Reward-based Noise Optimization

    Zeynep Akata, Alexey Dosovitskiy, Luca Eyring, Shyamgopal Karthik, Karsten Roth p125487-125519 from Advances in Neural Information Processing Systems 37
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  • Renovating Names in Open-Vocabulary Segmentation Benchmarks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Renovating Names in Open-Vocabulary Segmentation Benchmarks

    Andreas Geiger, Haiwen Huang, Songyou Peng, Dan Zhang p88410-88442 from Advances in Neural Information Processing Systems 37
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  • Renyi Differential Privacy of Propose-Test-Release and Applications to Private and Robust Machine Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Renyi Differential Privacy of Propose-Test-Release and Applications to Private and Robust Machine Learning

    Ruoxi Jia, Saeed Mahloujifar, Prateek Mittal, Jiachen T. Wang, Shouda Wang p38719-38732 from Advances in Neural Information Processing Systems 35
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  • RényiCL: Contrastive Representation Learning with Skew Rényi Divergence

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    RényiCL: Contrastive Representation Learning with Skew Rényi Divergence

    Kyungmin Lee, Jinwoo Shin p6463-6477 from Advances in Neural Information Processing Systems 35
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  • REPAIR CONNECTION WITH WOODEN WEDGED DOWELS: AXIAL TENSILE AND SHEAR VERIFICATIONS

    World Conference on Timber Engineering 2023 (WCTE 2023)

    REPAIR CONNECTION WITH WOODEN WEDGED DOWELS: AXIAL TENSILE AND SHEAR VERIFICATIONS

    Elena Perria, Mike Sieder, Svenja Siegert, Cordula Reulecke p1472-1480 from World Conference on Timber Engineering (WCTE 2023)
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  • Repairing Neural Networks by Leaving the Right Past Behind

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Repairing Neural Networks by Leaving the Right Past Behind

    Melanie F. Pradier, Yingzhen Li, Aditya Nori, Ryutaro Tanno p13132-13145 from Advances in Neural Information Processing Systems 35
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  • Reparameterization invariance in approximate Bayesian inference

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Reparameterization invariance in approximate Bayesian inference

    Carl Henrik Ek, Søren Hauberg, Philipp Hennig, Marco Miani, Marvin Pförtner, Hrittik Roy, Lukas Tatzel p8132-8164 from Advances in Neural Information Processing Systems 37
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  • Reparameterized Multi-Resolution Convolutions for Long Sequence Modelling

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Reparameterized Multi-Resolution Convolutions for Long Sequence Modelling

    Harry Cunningham, Marc Deisenroth, Giorgio Giannone, Mingtian Zhang p27121-27152 from Advances in Neural Information Processing Systems 37
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  • Repeated Augmented Rehearsal: A Simple but Strong Baseline for Online Continual Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Repeated Augmented Rehearsal: A Simple but Strong Baseline for Online Continual Learning

    Albert Bifet, Eibe Frank, Yunzhe Jia, Nick Jin Sean Lim, Bernhard Pfahringer, Yaqian Zhang p14771-14783 from Advances in Neural Information Processing Systems 35
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  • Repetition In Repetition Out: Towards Understanding Neural Text Degeneration from the Data Perspective

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Repetition In Repetition Out: Towards Understanding Neural Text Degeneration from the Data Perspective

    Deng Cai, Nigel Collier, Zihao Fu, Tian Lan, Huayang Li, Lemao Liu, Yixuan Su, Taro Watanabe p72888-72903 from Advances in Neural Information Processing Systems 36
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  • ReplaceAnything3D: Text-Guided Object Replacement in 3D Scenes with Compositional Scene Representations

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    ReplaceAnything3D: Text-Guided Object Replacement in 3D Scenes with Compositional Scene Representations

    Armen Avetisyan, Edward Bartrum, Numair Khan, Douglas Lanman, Zhengqin Li, Thu Nguyen-Phuoc, Lei Xiao, Chris Xie p48568-48598 from Advances in Neural Information Processing Systems 37
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  • Replay-and-Forget-Free Graph Class-Incremental Learning: A Task Profiling and Prompting Approach

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Replay-and-Forget-Free Graph Class-Incremental Learning: A Task Profiling and Prompting Approach

    Ling Chen, Bing Liu, Chaoxi Niu, Guansong Pang p87978-88002 from Advances in Neural Information Processing Systems 37
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