Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • Hyper-Representations as Generative Models: Sampling Unseen Neural Network Weights

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Hyper-Representations as Generative Models: Sampling Unseen Neural Network Weights

    Damian Borth, Xavier Giró-I-Nieto, Boris Knyazev, Konstantin Schürholt p27906-27920 from Advances in Neural Information Processing Systems 35
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  • Hyper-SD: Trajectory Segmented Consistency Model for Efficient Image Synthesis

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Hyper-SD: Trajectory Segmented Consistency Model for Efficient Image Synthesis

    Yanzuo Lu, Yuxi Ren, Xing Wang, Jie Wu, Xin Xia, Xuefeng Xiao, Pan Xie, Jiacheng Zhang p117340-117362 from Advances in Neural Information Processing Systems 37
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  • Hyper-Skin: A Hyperspectral Dataset for Reconstructing Facial Skin-Spectra from RGB Images

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Hyper-Skin: A Hyperspectral Dataset for Reconstructing Facial Skin-Spectra from RGB Images

    Zhixiang Chi, Juwei Lu, Pai Chet Ng, Konstantinos N Plataniotis, Yannick Verdie p24158-24170 from Advances in Neural Information Processing Systems 36
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  • Hyperbolic Embedding Inference for Structured Multi-Label Prediction

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Hyperbolic Embedding Inference for Structured Multi-Label Prediction

    Michael Cochez, Mojtaba Nayyeri, Steffen Staab, Bo Xiong p33016-33028 from Advances in Neural Information Processing Systems 35
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  • Hyperbolic Embeddings of Supervised Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Hyperbolic Embeddings of Supervised Models

    Ehsan Amid, Frank Nielsen, Richard Nock, Alexander Soen, Manfred Warmuth p140865-140902 from Advances in Neural Information Processing Systems 37
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  • Hyperbolic Feature Augmentation Via Distribution Estimation and Infinite Sampling on Manifolds

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Hyperbolic Feature Augmentation Via Distribution Estimation and Infinite Sampling on Manifolds

    Zhi Gao, Mehrtash Harandi, Yunde Jia, Yuwei Wu p34421-34435 from Advances in Neural Information Processing Systems 35
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  • Hyperbolic Graph Neural Networks at Scale: A Meta Learning Approach

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Hyperbolic Graph Neural Networks at Scale: A Meta Learning Approach

    Nurendra Choudhary, Nikhil Rao, Chandan Reddy p44488-44501 from Advances in Neural Information Processing Systems 36
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  • Hyperbolic Space with Hierarchical Margin Boosts Fine-Grained Learning from Coarse Labels

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Hyperbolic Space with Hierarchical Margin Boosts Fine-Grained Learning from Coarse Labels

    Yifan Sun, Xiu-Shen Wei, Anqi Xu, Shu-Lin Xu, Yi Yang, Faen Zhang p71263-71274 from Advances in Neural Information Processing Systems 36
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  • Hyperbolic VAE via Latent Gaussian Distributions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Hyperbolic VAE via Latent Gaussian Distributions

    Seunghyuk Cho, Dongwoo Kim, Juyong Lee p569-588 from Advances in Neural Information Processing Systems 36
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  • HyperDomainNet: Universal Domain Adaptation for Generative Adversarial Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    HyperDomainNet: Universal Domain Adaptation for Generative Adversarial Networks

    Aibek Alanov, Vadim Titov, Dmitry Vetrov p29414-29426 from Advances in Neural Information Processing Systems 35
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  • HyperLogic: Enhancing Diversity and Accuracy in Rule Learning with HyperNets

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    HyperLogic: Enhancing Diversity and Accuracy in Rule Learning with HyperNets

    Shuang Li, Wendi Ren, Yang Yang p3564-3587 from Advances in Neural Information Processing Systems 37
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  • HyperMiner: Topic Taxonomy Mining with Hyperbolic Embedding

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    HyperMiner: Topic Taxonomy Mining with Hyperbolic Embedding

    Bo Chen, Zhibin Duan, Ruiying Lu, Dongsheng Wang, Yi. Shi Xu, Mingyuan Zhou p31557-31570 from Advances in Neural Information Processing Systems 35
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  • Hypernetwork-based Meta-Learning for Low-Rank Physics-Informed Neural Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Hypernetwork-based Meta-Learning for Low-Rank Physics-Informed Neural Networks

    Woojin Cho, Kookjin Lee, Noseong Park, Donsub Rim p11219-11231 from Advances in Neural Information Processing Systems 36
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  • Hyperparameter Sensitivity in Deep Outlier Detection: Analysis and a Scalable Hyper-Ensemble Solution

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Hyperparameter Sensitivity in Deep Outlier Detection: Analysis and a Scalable Hyper-Ensemble Solution

    Leman Akoglu, Xueying Ding, Lingxiao Zhao p9603-9616 from Advances in Neural Information Processing Systems 35
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  • HyperPrism: An Adaptive Non-linear Aggregation Framework for Distributed Machine Learning over Non-IID Data and Time-varying Communication Links

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    HyperPrism: An Adaptive Non-linear Aggregation Framework for Distributed Machine Learning over Non-IID Data and Time-varying Communication Links

    Yijian Chen, Haizhou Du, Linghe Kong, Yuchen Li, Ryan Yang p11814-11836 from Advances in Neural Information Processing Systems 37
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  • HyperTree Proof Search for Neural Theorem Proving

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    HyperTree Proof Search for Neural Theorem Proving

    Gabriel Ebner, Amaury Hayat, Marie-Anne Lachaux, Timothee Lacroix, Guillaume Lample, Thibaut Lavril, Xavier Martinet, Aurelien Rodriguez p26337-26349 from Advances in Neural Information Processing Systems 35
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  • Hypervolume Maximization: A Geometric View of Pareto Set Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Hypervolume Maximization: A Geometric View of Pareto Set Learning

    Yifan Chen, Xi Lin, Bo Xue, Qingfu Zhang, Xiaoyuan Zhang p38902-38929 from Advances in Neural Information Processing Systems 36
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  • HyPoradise: An Open Baseline for Generative Speech Recognition with Large Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    HyPoradise: An Open Baseline for Generative Speech Recognition with Large Language Models

    Pin-Yu Chen, Chen Chen, Eng-Siong Chng, Yuchen Hu, Sabato Marco Siniscalchi, Chao-Han Huck Yang p31665-31688 from Advances in Neural Information Processing Systems 36
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  • Hypothesis Selection with Memory Constraints

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Hypothesis Selection with Memory Constraints

    Maryam Aliakbarpour, Mark Bun, Adam Smith p50453-50481 from Advances in Neural Information Processing Systems 36
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  • Hypothesis Testing for Differentially Private Linear Regression

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Hypothesis Testing for Differentially Private Linear Regression

    Daniel Alabi, Salil Vadhan p14196-14209 from Advances in Neural Information Processing Systems 35
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  • Hypothesis Testing the Circuit Hypothesis in LLMs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Hypothesis Testing the Circuit Hypothesis in LLMs

    Nicolas Beltran-Velez, David Blei, Adrià Garriga-Alonso, Andrew Jesson, Maggie Makar, Achille Nazaret, Claudia Shi, Carolina Zheng p94539-94567 from Advances in Neural Information Processing Systems 37
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  • HYPRO: A Hybridly Normalized Probabilistic Model for Long-Horizon Prediction of Event Sequences

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    HYPRO: A Hybridly Normalized Probabilistic Model for Long-Horizon Prediction of Event Sequences

    Hongyuan Mei, Xiaoming Shi, Siqiao Xue, James Zhang p34641-34650 from Advances in Neural Information Processing Systems 35
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  • HYSYNTH: Context-Free LLM Approximation for Guiding Program Synthesis

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    HYSYNTH: Context-Free LLM Approximation for Guiding Program Synthesis

    Emmanuel Anaya Gonzalez, Shraddha Barke, Taylor Berg-Kirkpatrick, Saketh Ram Kasibatla, Nadia Polikarpova p15612-15645 from Advances in Neural Information Processing Systems 37
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  • HyTrel: Hypergraph-enhanced Tabular Data Representation Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    HyTrel: Hypergraph-enhanced Tabular Data Representation Learning

    Pei Chen, Ruihong Huang, George Karypis, Leonard Lausen, Soumajyoti Sarkar, Balasubramaniam Srinivasan, Sheng Zha p32173-32193 from Advances in Neural Information Processing Systems 36
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