Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • Understanding and Extending Subgraph GNNs by Rethinking Their Symmetries

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Understanding and Extending Subgraph GNNs by Rethinking Their Symmetries

    Beatrice Bevilacqua, Michael Bronstein, Fabrizio Frasca, Haggai Maron p31376-31390 from Advances in Neural Information Processing Systems 35
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  • Understanding and Improving Adversarial Collaborative Filtering for Robust Recommendation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Understanding and Improving Adversarial Collaborative Filtering for Robust Recommendation

    Qi Cao, Xueqi Cheng, Huawei Shen, Fei Sun, Yunfan Wu, Kaike Zhang p120381-120417 from Advances in Neural Information Processing Systems 37
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  • Understanding and Improving Ensemble Adversarial Defense

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Understanding and Improving Ensemble Adversarial Defense

    Yian Deng, Tingting Mu p58075-58087 from Advances in Neural Information Processing Systems 36
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  • Understanding and Improving Feature Learning for Out-of-Distribution Generalization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Understanding and Improving Feature Learning for Out-of-Distribution Generalization

    Yatao Bian, Yongqiang Chen, James Cheng, Bo Han, Wei Huang, Kaiwen Zhou p68221-68275 from Advances in Neural Information Processing Systems 36
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  • Understanding and Improving Robustness of Vision Transformers Through Patch-Based Negative Augmentation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Understanding and Improving Robustness of Vision Transformers Through Patch-Based Negative Augmentation

    Alex Beutel, Ting Chen, Balaji Lakshminarayanan, Yao Qin, Xuezhi Wang, Chiyuan Zhang p16276-16289 from Advances in Neural Information Processing Systems 35
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  • Understanding and Improving Training-free Loss-based Diffusion Guidance

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Understanding and Improving Training-free Loss-based Diffusion Guidance

    Dongqi Han, Xinyang Jiang, Dongsheng Li, Yifei Shen, Yezhen Wang, Yifan Yang p108974-109002 from Advances in Neural Information Processing Systems 37
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  • Understanding and Minimising Outlier Features in Transformer Training

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Understanding and Minimising Outlier Features in Transformer Training

    Bobby He, Thomas Hofmann, Lorenzo Noci, Daniele Paliotta, Imanol Schlag p83786-83846 from Advances in Neural Information Processing Systems 37
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  • Understanding and Mitigating Copying in Diffusion Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Understanding and Mitigating Copying in Diffusion Models

    Jonas Geiping, Micah Goldblum, Tom Goldstein, Vasu Singla, Gowthami Somepalli p47783-47803 from Advances in Neural Information Processing Systems 36
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  • Understanding Benign Overfitting in Gradient-Based Meta Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Understanding Benign Overfitting in Gradient-Based Meta Learning

    Lisha Chen, Tianyi Chen, Songtao Lu p19887-19899 from Advances in Neural Information Processing Systems 35
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  • Understanding Bias in Large-Scale Visual Datasets

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Understanding Bias in Large-Scale Visual Datasets

    Zhuang Liu, Yida Yin, Boya Zeng p61839-61871 from Advances in Neural Information Processing Systems 37
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  • Understanding Contrastive Learning via Distributionally Robust Optimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Understanding Contrastive Learning via Distributionally Robust Optimization

    Jiawei Chen, Xiangnan He, Wentao Shi, Xiang Wang, Jiancan Wu, Junkang Wu p23297-23320 from Advances in Neural Information Processing Systems 36
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  • Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty

    Namgyu Ho, Jin-Hwa Kim, Sungnyun Kim, Jaehoon Oh, Hwanjun Song, Se-Young Yun p2622-2636 from Advances in Neural Information Processing Systems 35
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  • Understanding Deep Contrastive Learning Via Coordinate-Wise Optimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Understanding Deep Contrastive Learning Via Coordinate-Wise Optimization

    Yuandong Tian p19511-19522 from Advances in Neural Information Processing Systems 35
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  • Understanding Deep Gradient Leakage via Inversion Influence Functions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Understanding Deep Gradient Leakage via Inversion Influence Functions

    Yuyang Deng, Junyuan Hong, Mehrdad Mahdavi, Haobo Zhang, Jiayu Zhou p3921-3944 from Advances in Neural Information Processing Systems 36
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  • Understanding Deep Neural Function Approximation in Reinforcement Learning Via e-Greedy Exploration

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Understanding Deep Neural Function Approximation in Reinforcement Learning Via e-Greedy Exploration

    Volkan Cevher, Fanghui Liu, Luca Viano p5093-5108 from Advances in Neural Information Processing Systems 35
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  • Understanding Diffusion Objectives as the ELBO with Simple Data Augmentation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Understanding Diffusion Objectives as the ELBO with Simple Data Augmentation

    Ruiqi Gao, Diederik Kingma p65484-65516 from Advances in Neural Information Processing Systems 36
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  • Understanding Emergent Abilities of Language Models from the Loss Perspective

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Understanding Emergent Abilities of Language Models from the Loss Perspective

    Yuxiao Dong, Zhengxiao Du, Jie Tang, Aohan Zeng p53138-53167 from Advances in Neural Information Processing Systems 37
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  • Understanding Few-Shot Learning: Measuring Task Relatedness and Adaptation Difficulty via Attributes

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Understanding Few-Shot Learning: Measuring Task Relatedness and Adaptation Difficulty via Attributes

    Hong Chang, Xilin Chen, Zong Guo, Minyang Hu, Bingpeng Ma, Shiguang Shan p19397-19409 from Advances in Neural Information Processing Systems 36
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  • Understanding Generalizability of Diffusion Models Requires Rethinking the Hidden Gaussian Structure

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Understanding Generalizability of Diffusion Models Requires Rethinking the Hidden Gaussian Structure

    Yixiang Dai, Xiang Li, Qing Qu p57499-57538 from Advances in Neural Information Processing Systems 37
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  • Understanding Hallucinations in Diffusion Models through Mode Interpolation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Understanding Hallucinations in Diffusion Models through Mode Interpolation

    Sumukh Aithal, J. Kolter, Zachary Lipton, Pratyush Maini p134614-134644 from Advances in Neural Information Processing Systems 37
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  • Understanding How Consistency Works in Federated Learning via Stage-wise Relaxed Initialization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Understanding How Consistency Works in Federated Learning via Stage-wise Relaxed Initialization

    Li Shen, Yan Sun, Dacheng Tao p80543-80574 from Advances in Neural Information Processing Systems 36
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  • Understanding Hyperdimensional Computing for Parallel Single-Pass Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Understanding Hyperdimensional Computing for Parallel Single-Pass Learning

    Christopher De Sa, Tao Yu, Yichi Zhang, Zhiru Zhang p1157-1169 from Advances in Neural Information Processing Systems 35
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  • Understanding Information Storage and Transfer in Multi-Modal Large Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Understanding Information Storage and Transfer in Multi-Modal Large Language Models

    Samyadeep Basu, Soheil Feizi, Martin Grayson, Daniela Massiceti, Cecily Morrison, Besmira Nushi p7400-7426 from Advances in Neural Information Processing Systems 37
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  • Understanding Linear Probing then Fine-tuning Language Models from NTK Perspective

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Understanding Linear Probing then Fine-tuning Language Models from NTK Perspective

    Issei Sato, Akiyoshi Tomihari p139786-139822 from Advances in Neural Information Processing Systems 37
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