Paper

  • Learning Latent Seasonal-Trend Representations for Time Series Forecasting

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Latent Seasonal-Trend Representations for Time Series Forecasting

    Goce Trajcevski, Zhiyuan Wang, Xovee Xu, Weifeng Zhang, Ting Zhong, Fan Zhou p38775-38787 from Advances in Neural Information Processing Systems 35
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  • Learning Layer-wise Equivariances Automatically using Gradients

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Layer-wise Equivariances Automatically using Gradients

    Alexander Immer, Tycho Van Der Ouderaa, Mark Van Der Wilk p28365-28377 from Advances in Neural Information Processing Systems 36
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  • Learning Linear Causal Representations from General Environments: Identifiability and Intrinsic Ambiguity

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Linear Causal Representations from General Environments: Identifiability and Intrinsic Ambiguity

    Jikai Jin, Vasilis Syrgkanis p63466-63509 from Advances in Neural Information Processing Systems 37
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  • Learning Linear Causal Representations from Interventions under General Nonlinear Mixing

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Linear Causal Representations from Interventions under General Nonlinear Mixing

    Bryon Aragam, Simon Buchholz, Goutham Rajendran, Pradeep Ravikumar, Elan Rosenfeld, Bernhard Schölkopf p45419-45462 from Advances in Neural Information Processing Systems 36
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  • Learning List-Level Domain-Invariant Representations for Ranking

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning List-Level Domain-Invariant Representations for Ranking

    Michael Bendersky, Kai Hui, Jing Lu, Ji Ma, Zhen Qin, Xuanhui Wang, Ruicheng Xian, Hamed Zamani, Han Zhao, Honglei Zhuang p64695-64724 from Advances in Neural Information Processing Systems 36
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  • Learning Long-Term Crop Management Strategies with CyclesGym

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Long-Term Crop Management Strategies with CyclesGym

    Ioannis Athanasiadis, Joachim M Buhmann, Amanda Burton, Luca Corinzia, Juan Herrera, Andreas Krause, Scott Sussex, Matteo Turchetta p11396-11409 from Advances in Neural Information Processing Systems 35
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  • Learning Low-Dimensional Generalizable Natural Features from Retina Using a U-Net

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Low-Dimensional Generalizable Natural Features from Retina Using a U-Net

    Michael Berry, Elizabeth De Laittre, Benjamin Hoshal, Thierry Mora, Stephanie Palmer, Siwei Wang p11355-11368 from Advances in Neural Information Processing Systems 35
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  • Learning Low-Rank Feature for Thorax Disease Classification

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Low-Rank Feature for Thorax Disease Classification

    Rajeev Goel, Utkarsh Nath, Alvin Silva, Yancheng Wang, Teresa Wu, Yingzhen Yang p117133-117163 from Advances in Neural Information Processing Systems 37
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  • Learning Macroscopic Dynamics from Partial Microscopic Observations

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Macroscopic Dynamics from Partial Microscopic Observations

    Mengyi Chen, Qianxiao Li p48996-49021 from Advances in Neural Information Processing Systems 37
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  • Learning Manifold Dimensions with Conditional Variational Autoencoders

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Manifold Dimensions with Conditional Variational Autoencoders

    Tong He, Yixuan Qiu, David P Wipf, Yijia Zheng p34709-34721 from Advances in Neural Information Processing Systems 35
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  • Learning Mask-aware CLIP Representations for Zero-Shot Segmentation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Mask-aware CLIP Representations for Zero-Shot Segmentation

    Siyu Jiao, Humphrey Shi, Yaowei Wang, Yunchao Wei, Yao Zhao p35631-35653 from Advances in Neural Information Processing Systems 36
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  • Learning Mixed Multinomial Logits with Provable Guarantees

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Learning Mixed Multinomial Logits with Provable Guarantees

    Yiqun Hu, David Simchi-Levi, Zhenzhen Yan p9447-9459 from Advances in Neural Information Processing Systems 35
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