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

    Jonas Spinner, Victor Bresó, Pim De Haan, Tilman Plehn, Jesse Thaler, Johann Brehmer 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

    Yan-Shuo Liang, Wu-Jun Li 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, Paul Masset, Henry Kuo, 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

    Rustem Islamov, Niccoló Ajroldi, Antonio Orvieto, Aurelien Lucchi 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, Yang Zhang, Kaizhi Qian, Zhifan Ye, Zhongzhi Yu, Cheng-I Jeff Lai, Celine Lin 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

    Ruihan Yang, Stephan Mandt 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

    Milton Montero, Jeffrey Bowers, Rui Ponte Costa, Casimir Ludwig, Gaurav Malhotra 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

    Xiaojun Xu, Linyi Li, Bo Li 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 Wu, Kecheng Zheng, Shuailei Ma, Fan Lu, Yuxin Guo, Yifei Zhang, Wei Chen, Qingpei Guo, Yujun Shen, Zheng-Jun Zha 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

    Mansheej Paul, Brett Larsen, Surya Ganguli, Jonathan Frankle, Gintare Karolina Dziugaite 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

    Henry Hengyuan Zhao, Pan Zhou, Difei Gao, Zechen Bai, Mike Zheng Shou 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

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