Paper

  • ProxyFusion: Face Feature Aggregation Through Sparse Experts

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    ProxyFusion: Face Feature Aggregation Through Sparse Experts

    Venu Govindaraju, Bhavin Jawade, Deen Dayal Mohan, Srirangaraj Setlur, Alexander Stone, Xiao Wang 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

    Alessandro Laio, Paolo Muratore, Eugenio Piasini, Sina Tafazoli, 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

    Hao Chen, Yongjian Deng, Yifeng Geng, Chao Li, Feihong Shen 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

    Ferdinando Fioretto, Jung-Eun Kim, Rakshit Naidu, Cuong Tran 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

    Rebekka Burkholz, Jonas Fischer, Intekhab Hossain, 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

    Alaa Maalouf, Loay Mualem, Murad Tukan 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?

    Arash Behboodi, Tijmen Blankevoort, Andrey Kuzmin, Markus Nagel, Mart Van Baalen 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

    Michael Carbin, Gintare Karolina Dziugaite, Jonathan Frankle, Tian Jin, Dan Roy 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

    Boris Belousov, Theo Gruner, 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

    Bo Han, Feng Liu, Tongliang Liu, Xiong Peng, 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

    Shirui Pan, Nico Potyka, Steffen Staab, Bo Xiong, Chuan Zhou, Shichao Zhu 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

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