Paper

  • Leveraging sparse and shared feature activations for disentangled representation learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Leveraging sparse and shared feature activations for disentangled representation learning

    Marco Fumero, Florian Wenzel, Luca Zancato, Alessandro Achille, Emanuele Rodolà, Stefano Soatto, Bernhard Schölkopf, Francesco Locatello p27682-27698 from Advances in Neural Information Processing Systems 36
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  • Leveraging the Hints: Adaptive Bidding in Repeated First-Price Auctions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Leveraging the Hints: Adaptive Bidding in Repeated First-Price Auctions

    Wei Zhang, Yanjun Han, Zhengyuan Zhou, Aaron Flores, Tsachy Weissman p21329-21341 from Advances in Neural Information Processing Systems 35
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  • Leveraging the two-timescale regime to demonstrate convergence of neural networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Leveraging the two-timescale regime to demonstrate convergence of neural networks

    Pierre Marion, Raphaël Berthier p64996-65029 from Advances in Neural Information Processing Systems 36
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  • Leveraging Tumor Heterogeneity: Heterogeneous Graph Representation Learning for Cancer Survival Prediction in Whole Slide Images

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Leveraging Tumor Heterogeneity: Heterogeneous Graph Representation Learning for Cancer Survival Prediction in Whole Slide Images

    Junxian Wu, Xinyi Ke, Xiaoming Jiang, Huanwen Wu, Youyong Kong, Lizhi Shao p64312-64337 from Advances in Neural Information Processing Systems 37
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  • Leveraging Vision-Centric Multi-Modal Expertise for 3D Object Detection

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Leveraging Vision-Centric Multi-Modal Expertise for 3D Object Detection

    Linyan Huang, Zhiqi Li, Chonghao Sima, Wenhai Wang, Jingdong Wang, Yu Qiao, Hongyang Li p38504-38519 from Advances in Neural Information Processing Systems 36
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  • Leveraging Visual Tokens for Extended Text Contexts in Multi-Modal Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Leveraging Visual Tokens for Extended Text Contexts in Multi-Modal Learning

    Alex Jinpeng Wang, Linjie Li, Yiqi Lin, Min Li, Lijuan Wang, Mike Zheng Shou p14325-14348 from Advances in Neural Information Processing Systems 37
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  • LexEval: A Comprehensive Chinese Legal Benchmark for Evaluating Large Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    LexEval: A Comprehensive Chinese Legal Benchmark for Evaluating Large Language Models

    Haitao Li, You Chen, Qingyao Ai, Yueyue Wu, Ruizhe Zhang, Yiqun Liu p25061-25094 from Advances in Neural Information Processing Systems 37
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  • Lexicon3D: Probing Visual Foundation Models for Complex 3D Scene Understanding

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Lexicon3D: Probing Visual Foundation Models for Complex 3D Scene Understanding

    Yunze Man, Shuhong Zheng, Zhipeng Bao, Martial Hebert, Liang-Yan Gui, Yu-Xiong Wang p76819-76847 from Advances in Neural Information Processing Systems 37
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  • Lexinvariant Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Lexinvariant Language Models

    Qian Huang, Eric Zelikman, Sarah Chen, Yuhuai Wu, Gregory Valiant, Percy Liang p23990-24012 from Advances in Neural Information Processing Systems 36
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  • LFME: A Simple Framework for Learning from Multiple Experts in Domain Generalization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    LFME: A Simple Framework for Learning from Multiple Experts in Domain Generalization

    Liang Chen, Yong Zhang, Yibing Song, Zhiqiang Shen, Lingqiao Liu p102919-102947 from Advances in Neural Information Processing Systems 37
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  • LG-CAV: Train Any Concept Activation Vector with Language Guidance

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    LG-CAV: Train Any Concept Activation Vector with Language Guidance

    Qihan Huang, Jie Song, Mengqi Xue, Haofei Zhang, Bingde Hu, Huiqiong Wang, Hao Jiang, Xingen Wang, Mingli Song p39522-39551 from Advances in Neural Information Processing Systems 37
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  • LG-VQ: Language-Guided Codebook Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    LG-VQ: Language-Guided Codebook Learning

    Guotao Liang, Baoquan Zhang, Yaowei Wang, Xutao Li, Yunming Ye, Huaibin Wang, Chuyao Luo, Kola Ye, Linfeng Luo p139700-139724 from Advances in Neural Information Processing Systems 37
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