Paper

  • Language-based Action Concept Spaces Improve Video Self-Supervised Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Language-based Action Concept Spaces Improve Video Self-Supervised Learning

    Kanchana Ranasinghe, Michael S Ryoo p74980-74994 from Advances in Neural Information Processing Systems 36
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  • Language-Driven Interactive Traffic Trajectory Generation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Language-Driven Interactive Traffic Trajectory Generation

    Junkai Xia, Chenxin Xu, Qingyao Xu, Yanfeng Wang, Siheng Chen p77831-77859 from Advances in Neural Information Processing Systems 37
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  • Language-driven Scene Synthesis using Multi-conditional Diffusion Model

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Language-driven Scene Synthesis using Multi-conditional Diffusion Model

    An Dinh Vuong, Minh Nhat Vu, Toan Nguyen, Baoru Huang, Dzung Nguyen, Thieu Vo, Anh Nguyen p30862-30884 from Advances in Neural Information Processing Systems 36
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  • Laplacian Autoencoders for Learning Stochastic Representations

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Laplacian Autoencoders for Learning Stochastic Representations

    Marco Miani, Frederik Warburg, Pablo Moreno-Muñoz, Nicki Skafte, Søren Hauberg p21059-21072 from Advances in Neural Information Processing Systems 35
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  • Laplacian Canonization: A Minimalist Approach to Sign and Basis Invariant Spectral Embedding

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Laplacian Canonization: A Minimalist Approach to Sign and Basis Invariant Spectral Embedding

    George Ma, Yifei Wang, Yisen Wang p11296-11337 from Advances in Neural Information Processing Systems 36
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  • LAPO: Latent-Variable Advantage-Weighted Policy Optimization for Offline Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    LAPO: Latent-Variable Advantage-Weighted Policy Optimization for Offline Reinforcement Learning

    Xi Chen, Ali Ghadirzadeh, Tianhe Yu, Jianhao Wang, Alex Yuan Gao, Wenzhe Li, Liang Bin, Chelsea Finn, Chongjie Zhang p36902-36913 from Advances in Neural Information Processing Systems 35
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  • Large Building Stock Energy Simulation for the Design of District Heating Networks : A Case Study on Building Retrofit Policies

    ECOS 2023

    Large Building Stock Energy Simulation for the Design of District Heating Networks : A Case Study on Building Retrofit Policies

    Mazarine Roquet, Dewallef Pierre p2603-2613 from 36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2023)
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  • Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias

    Yue Yu, Yuchen Zhuang, Jieyu Zhang, Yu Meng, Alexander Ratner, Ranjay Krishna, Jiaming Shen, Chao Zhang p55734-55784 from Advances in Neural Information Processing Systems 36
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  • Large Language Model Unlearning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Large Language Model Unlearning

    Yuanshun Yao, Xiaojun Xu, Yang Liu p105425-105475 from Advances in Neural Information Processing Systems 37
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  • Large Language Model Unlearning via Embedding-Corrupted Prompts

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Large Language Model Unlearning via Embedding-Corrupted Prompts

    Chris Liu, Yaxuan Wang, Jeffrey Flanigan, Yang Liu p118198-118266 from Advances in Neural Information Processing Systems 37
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  • Large language model validity via enhanced conformal prediction methods

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Large language model validity via enhanced conformal prediction methods

    John Cherian, Isaac Gibbs, Emmanuel Candès p114812-114842 from Advances in Neural Information Processing Systems 37
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  • Large Language Models are Fixated by Red Herrings: Exploring Creative Problem Solving and Einstellung Effect using the Only Connect Wall Dataset

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Large Language Models are Fixated by Red Herrings: Exploring Creative Problem Solving and Einstellung Effect using the Only Connect Wall Dataset

    Saeid Alavi Naeini, Raeid Saqur, Mozhgan Saeidi, John Giorgi, Babak Taati p5631-5652 from Advances in Neural Information Processing Systems 36
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