Paper

  • ProxyFusion: Face Feature Aggregation Through Sparse Experts

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    ProxyFusion: Face Feature Aggregation Through Sparse Experts

    Bhavin Jawade, Alexander Stone, Deen Dayal Mohan, Xiao Wang, Srirangaraj Setlur, Venu Govindaraju p70130-70147 from Advances in Neural Information Processing Systems 37
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  • Prune and Distill: Similar Reformatting of Image Information Along Rat Visual Cortex and Deep Neural Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Prune and Distill: Similar Reformatting of Image Information Along Rat Visual Cortex and Deep Neural Networks

    Paolo Muratore, Sina Tafazoli, Eugenio Piasini, Alessandro Laio, Davide Zoccolan p30206-30218 from Advances in Neural Information Processing Systems 35
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  • Prune and Repaint: Content-Aware Image Retargeting for any Ratio

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Prune and Repaint: Content-Aware Image Retargeting for any Ratio

    Feihong Shen, Chao Li, Yifeng Geng, Yongjian Deng, Hao Chen p75177-75198 from Advances in Neural Information Processing Systems 37
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  • Pruning Has a Disparate Impact on Model Accuracy

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Pruning Has a Disparate Impact on Model Accuracy

    Cuong Tran, Ferdinando Fioretto, Jung-Eun Kim, Rakshit Naidu p17652-17664 from Advances in Neural Information Processing Systems 35
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  • Pruning neural network models for gene regulatory dynamics using data and domain knowledge

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Pruning neural network models for gene regulatory dynamics using data and domain knowledge

    Intekhab Hossain, Jonas Fischer, Rebekka Burkholz, John Quackenbush p117543-117579 from Advances in Neural Information Processing Systems 37
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  • Pruning Neural Networks Via Coresets and Convex Geometry: Towards No Assumptions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Pruning Neural Networks Via Coresets and Convex Geometry: Towards No Assumptions

    Murad Tukan, Loay Mualem, Alaa Maalouf p38003-38019 from Advances in Neural Information Processing Systems 35
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  • Pruning vs Quantization: Which is Better?

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Pruning vs Quantization: Which is Better?

    Andrey Kuzmin, Markus Nagel, Mart Van Baalen, Arash Behboodi, Tijmen Blankevoort p62414-62427 from Advances in Neural Information Processing Systems 36
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  • Pruning’s Effect on Generalization Through the Lens of Training and Regularization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Pruning’s Effect on Generalization Through the Lens of Training and Regularization

    Tian Jin, Michael Carbin, Dan Roy, Jonathan Frankle, Gintare Karolina Dziugaite p37947-37961 from Advances in Neural Information Processing Systems 35
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  • Pseudo-Likelihood Inference

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Pseudo-Likelihood Inference

    Theo Gruner, Boris Belousov, Fabio Muratore, Daniel Palenicek, Jan Peters p20613-20639 from Advances in Neural Information Processing Systems 36
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  • Pseudo-Private Data Guided Model Inversion Attacks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Pseudo-Private Data Guided Model Inversion Attacks

    Xiong Peng, Bo Han, Feng Liu, Tongliang Liu, Mingyuan Zhou p33338-33375 from Advances in Neural Information Processing Systems 37
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  • Pseudo-Riemannian Graph Convolutional Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Pseudo-Riemannian Graph Convolutional Networks

    Bo Xiong, Shichao Zhu, Nico Potyka, Shirui Pan, Chuan Zhou, Steffen Staab p3488-3501 from Advances in Neural Information Processing Systems 35
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  • Pseudo-Siamese Blind-spot Transformers for Self-Supervised Real-World Denoising

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Pseudo-Siamese Blind-spot Transformers for Self-Supervised Real-World Denoising

    Yuhui Quan, Tianxiang Zheng, Hui Ji p13794-13817 from Advances in Neural Information Processing Systems 37
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