Paper

  • Lorentz-Equivariant Geometric Algebra Transformers for High-Energy Physics

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Lorentz-Equivariant Geometric Algebra Transformers for High-Energy Physics

    Johann Brehmer, Victor Bresó, Pim de Haan, Tilman Plehn, Jonas Spinner, Jesse Thaler p22178-22205 from Advances in Neural Information Processing Systems 37
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  • Loss Decoupling for Task-Agnostic Continual Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Loss Decoupling for Task-Agnostic Continual Learning

    Wu-Jun Li, Yan-Shuo Liang p11151-11167 from Advances in Neural Information Processing Systems 36
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  • Loss Dynamics of Temporal Difference Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Loss Dynamics of Temporal Difference Reinforcement Learning

    Blake Bordelon, Henry Kuo, Paul Masset, Cengiz Pehlevan p14469-14496 from Advances in Neural Information Processing Systems 36
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  • Loss Landscape Characterization of Neural Networks without Over-Parametrization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Loss Landscape Characterization of Neural Networks without Over-Parametrization

    Niccoló Ajroldi, Rustem Islamov, Aurelien Lucchi, Antonio Orvieto p46680-46727 from Advances in Neural Information Processing Systems 37
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  • Losses Can Be Blessings: Routing Self-Supervised Speech Representations Towards Efficient Multilingual and Multitask Speech Processing

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Losses Can Be Blessings: Routing Self-Supervised Speech Representations Towards Efficient Multilingual and Multitask Speech Processing

    Yonggan Fu, Cheng-I Jeff Lai, Celine Lin, Kaizhi Qian, Zhifan Ye, Zhongzhi Yu, Yang Zhang p20902-20920 from Advances in Neural Information Processing Systems 35
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  • Lossy Image Compression with Conditional Diffusion Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Lossy Image Compression with Conditional Diffusion Models

    Stephan Mandt, Ruihan Yang p64971-64995 from Advances in Neural Information Processing Systems 36
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  • Lost in Latent Space: Examining Failures of Disentangled Models at Combinatorial Generalisation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Lost in Latent Space: Examining Failures of Disentangled Models at Combinatorial Generalisation

    Jeffrey Bowers, Casimir Ludwig, Gaurav Malhotra, Milton Montero, Rui Ponte Costa p10136-10149 from Advances in Neural Information Processing Systems 35
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  • LOT: Layer-Wise Orthogonal Training on Improving L2 Certified Robustness

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    LOT: Layer-Wise Orthogonal Training on Improving L2 Certified Robustness

    Bo Li, Linyi Li, Xiaojun Xu p18904-18915 from Advances in Neural Information Processing Systems 35
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  • LoTLIP: Improving Language-Image Pre-training for Long Text Understanding

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    LoTLIP: Improving Language-Image Pre-training for Long Text Understanding

    Wei Chen, Qingpei Guo, Yuxin Guo, Fan Lu, Shuailei Ma, Yujun Shen, Wei Wu, Zheng-Jun Zha, Yifei Zhang, Kecheng Zheng p64996-65019 from Advances in Neural Information Processing Systems 37
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  • Lottery Tickets on a Data Diet: Finding Initializations with Sparse Trainable Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Lottery Tickets on a Data Diet: Finding Initializations with Sparse Trainable Networks

    Gintare Karolina Dziugaite, Jonathan Frankle, Surya Ganguli, Brett Larsen, Mansheej Paul p18916-18928 from Advances in Neural Information Processing Systems 35
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  • LOVA3: Learning to Visual Question Answering, Asking and Assessment

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    LOVA3: Learning to Visual Question Answering, Asking and Assessment

    Zechen Bai, Difei Gao, Mike Zheng Shou, Henry Hengyuan Zhao, Pan Zhou p115146-115175 from Advances in Neural Information Processing Systems 37
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  • Lovász Principle for Unsupervised Graph Representation Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Lovász Principle for Unsupervised Graph Representation Learning

    Chris Ding, Jicong Fan, Ziheng Sun p58290-58311 from Advances in Neural Information Processing Systems 36
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