Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • Hierarchical Randomized Smoothing

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Hierarchical Randomized Smoothing

    Aleksandar Bojchevski, Stephan Günnemann, Yan Scholten, Jan Schuchardt p49783-49813 from Advances in Neural Information Processing Systems 36
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  • Hierarchical Selective Classification

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Hierarchical Selective Classification

    Ran El-Yaniv, Ido Galil, Shani Goren p111047-111073 from Advances in Neural Information Processing Systems 37
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  • Hierarchical Semi-Implicit Variational Inference with Application to Diffusion Model Acceleration

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Hierarchical Semi-Implicit Variational Inference with Application to Diffusion Model Acceleration

    Tianyu Xie, Tong Yang, Longlin Yu, Cheng Zhang, Xiangyu Zhang, Yu Zhu p49603-49627 from Advances in Neural Information Processing Systems 36
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  • Hierarchical Uncertainty Exploration via Feedforward Posterior Trees

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Hierarchical Uncertainty Exploration via Feedforward Posterior Trees

    Tomer Michaeli, Rotem Mulayoff, Elias Nehme p125142-125191 from Advances in Neural Information Processing Systems 37
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  • Hierarchical VAEs provide a normative account of motion processing in the primate brain

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Hierarchical VAEs provide a normative account of motion processing in the primate brain

    Daniel Butts, Hadi Vafaii, Jacob Yates p46152-46190 from Advances in Neural Information Processing Systems 36
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  • Hierarchical Vector Quantized Transformer for Multi-class Unsupervised Anomaly Detection

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Hierarchical Vector Quantized Transformer for Multi-class Unsupervised Anomaly Detection

    Bo Chen, Ruimin Hu, Xiyang Liu, Ruiying Lu, Long Tian, Dongsheng Wang, Yujie Wu p8487-8500 from Advances in Neural Information Processing Systems 36
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  • Hierarchical Visual Feature Aggregation for OCR-Free Document Understanding

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Hierarchical Visual Feature Aggregation for OCR-Free Document Understanding

    Jin Choi, Bohyung Han, Jaeyoo Park, Jeonghyung Park p105972-105996 from Advances in Neural Information Processing Systems 37
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  • Hierarchically Gated Recurrent Neural Network for Sequence Modeling

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Hierarchically Gated Recurrent Neural Network for Sequence Modeling

    Zhen Qin, Songlin Yang, Yiran Zhong p33202-33221 from Advances in Neural Information Processing Systems 36
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  • Hierarchy-Agnostic Unsupervised Segmentation: Parsing Semantic Image Structure

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Hierarchy-Agnostic Unsupervised Segmentation: Parsing Semantic Image Structure

    Fiora Pirri, Simone Rossetti p98898-98935 from Advances in Neural Information Processing Systems 37
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  • HierSpeech: Bridging the Gap Between Text and Speech by Hierarchical Variational Inference Using Self-Supervised Representations for Speech Synthesis

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    HierSpeech: Bridging the Gap Between Text and Speech by Hierarchical Variational Inference Using Self-Supervised Representations for Speech Synthesis

    Min-Jae Hwang, Seung-Bin Kim, Ji-Hyun Lee, Sang-Hoon Lee, Seong-Whan Lee, Eunwoo Song p16624-16636 from Advances in Neural Information Processing Systems 35
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  • High dimensional, tabular deep learning with an auxiliary knowledge graph

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    High dimensional, tabular deep learning with an auxiliary knowledge graph

    Kexin Huang, Jure Leskovec, Hongyu Ren, Camilo Ruiz p26348-26371 from Advances in Neural Information Processing Systems 36
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  • High Precision Causal Model Evaluation with Conditional Randomization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    High Precision Causal Model Evaluation with Conditional Randomization

    Chao Ma, Cheng Zhang p52615-52627 from Advances in Neural Information Processing Systems 36
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  • High Rank Path Development: an approach to learning the filtration of stochastic processes

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    High Rank Path Development: an approach to learning the filtration of stochastic processes

    Chong Liu, Hao Ni, Jiajie Tao p115309-115350 from Advances in Neural Information Processing Systems 37
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  • High-dimensional (Group) Adversarial Training in Linear Regression

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    High-dimensional (Group) Adversarial Training in Linear Regression

    Xiaoming Huo, Yiling Xie p31708-31735 from Advances in Neural Information Processing Systems 37
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  • High-Dimensional Additive Gaussian Processes Under Monotonicity Constraints

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    High-Dimensional Additive Gaussian Processes Under Monotonicity Constraints

    Francois Bachoc, Andrés López-Lopera, Olivier Roustant p8041-8053 from Advances in Neural Information Processing Systems 35
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  • High-dimensional Asymptotics of Denoising Autoencoders

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    High-dimensional Asymptotics of Denoising Autoencoders

    Hugo Cui, Lenka Zdeborová p11850-11890 from Advances in Neural Information Processing Systems 36
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  • High-Dimensional Asymptotics of Feature Learning: How One Gradient Step Improves the Representation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    High-Dimensional Asymptotics of Feature Learning: How One Gradient Step Improves the Representation

    Jimmy Ba, Murat Erdogdu, Taiji Suzuki, Zhichao Wang, Denny Wu, Greg Yang p37932-37946 from Advances in Neural Information Processing Systems 35
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  • High-dimensional Contextual Bandit Problem without Sparsity

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    High-dimensional Contextual Bandit Problem without Sparsity

    Masaaki Imaizumi, Junpei Komiyama p49416-49427 from Advances in Neural Information Processing Systems 36
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  • High-Dimensional Limit Theorems for SGD: Effective Dynamics and Critical Scaling

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    High-Dimensional Limit Theorems for SGD: Effective Dynamics and Critical Scaling

    Gerard Ben Arous, Reza Gheissari, Aukosh Jagannath p25349-25362 from Advances in Neural Information Processing Systems 35
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  • High-Fidelity Audio Compression with Improved RVQGAN

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    High-Fidelity Audio Compression with Improved RVQGAN

    Ishaan Kumar, Kundan Kumar, Rithesh Kumar, Alejandro Luebs, Prem Seetharaman p27980-27993 from Advances in Neural Information Processing Systems 36
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  • High-Order Pooling for Graph Neural Networks with Tensor Decomposition

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    High-Order Pooling for Graph Neural Networks with Tensor Decomposition

    Chenqing Hua, Guillaume Rabusseau, Jian Tang p6021-6033 from Advances in Neural Information Processing Systems 35
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  • High-probability complexity bounds for stochastic non-convex minimax optimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    High-probability complexity bounds for stochastic non-convex minimax optimization

    Necdet Aybat, Mert Gürbüzbalaban, Yassine Laguel, Yasa Syed p140937-140969 from Advances in Neural Information Processing Systems 37
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  • High-Resolution Image Harmonization with Adaptive-Interval Color Transformation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    High-Resolution Image Harmonization with Adaptive-Interval Color Transformation

    Xiangyuan Lan, Zonglin Li, Qinglin Liu, Quanling Meng, Liqiang Nie, Shengping Zhang p13769-13793 from Advances in Neural Information Processing Systems 37
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  • Higher-Order Causal Message Passing for Experimentation with Complex Interference

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Higher-Order Causal Message Passing for Experimentation with Complex Interference

    Mohsen Bayati, Yuwei Luo, William Overman, Sadegh Shirani, Ruoxuan Xiong p81836-81856 from Advances in Neural Information Processing Systems 37
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