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

    Luca Eyring, Shyamgopal Karthik, Karsten Roth, Alexey Dosovitskiy, Zeynep Akata 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

    Haiwen Huang, Songyou Peng, Dan Zhang, Andreas Geiger 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

    Jiachen T. Wang, Saeed Mahloujifar, Shouda Wang, Ruoxi Jia, Prateek Mittal 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

    Ryutaro Tanno, Melanie F. Pradier, Aditya Nori, Yingzhen Li 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

    Hrittik Roy, Marco Miani, Carl Henrik Ek, Philipp Hennig, Marvin Pförtner, Lukas Tatzel, Søren Hauberg 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, Giorgio Giannone, Mingtian Zhang, Marc Deisenroth 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

    Yaqian Zhang, Bernhard Pfahringer, Eibe Frank, Albert Bifet, Nick Jin Sean Lim, Yunzhe Jia 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

    Huayang Li, Tian Lan, Zihao Fu, Deng Cai, Lemao Liu, Nigel Collier, Taro Watanabe, Yixuan Su 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

    Edward Bartrum, Thu Nguyen-Phuoc, Chris Xie, Zhengqin Li, Numair Khan, Armen Avetisyan, Douglas Lanman, Lei Xiao 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

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