Paper

  • Fine-Grained Semantically Aligned Vision-Language Pre-Training

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Fine-Grained Semantically Aligned Vision-Language Pre-Training

    Juncheng Li, Xin He, Longhui Wei, Long Qian, Linchao Zhu, Lingxi Xie, Yueting Zhuang, Qi Tian, Siliang Tang p7290-7303 from Advances in Neural Information Processing Systems 35
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  • Fine-Grained Theoretical Analysis of Federated Zeroth-Order Optimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Fine-Grained Theoretical Analysis of Federated Zeroth-Order Optimization

    Jun Chen, Hong Chen, Bin Gu, Hao Deng p54496-54508 from Advances in Neural Information Processing Systems 36
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  • Fine-Grained Visual Prompting

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Fine-Grained Visual Prompting

    Lingfeng Yang, Yueze Wang, Xiang Li, Xinlong Wang, Jian Yang p24993-25006 from Advances in Neural Information Processing Systems 36
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  • Fine-Tuning is Fine, if Calibrated

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Fine-Tuning is Fine, if Calibrated

    Zheda Mai, Arpita Chowdhury, Ping Zhang, Cheng-Hao Tu, Hong-You Chen, Vardaan Pahuja, Tanya Berger-Wolf, Song Gao, Charles Stewart, Yu Su, Wei-Lun Chao p136084-136119 from Advances in Neural Information Processing Systems 37
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  • Fine-Tuning Language Models Over Slow Networks Using Activation Quantization with Guarantees

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Fine-Tuning Language Models Over Slow Networks Using Activation Quantization with Guarantees

    Jue Wang, Binhang Yuan, Luka Rimanic, Yongjun He, Tri Dao, Beidi Chen, Christopher Ré, Ce Zhang p19215-19230 from Advances in Neural Information Processing Systems 35
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  • Fine-Tuning Language Models to Find Agreement Among Humans with Diverse Preferences

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Fine-Tuning Language Models to Find Agreement Among Humans with Diverse Preferences

    Michiel Bakker, Martin Chadwick, Hannah Sheahan, Michael Tessler, Lucy Campbell-Gillingham, Jan Balaguer, Nat McAleese, Amelia Glaese, John Aslanides, Matt Botvinick, Christopher Summerfield p38176-38189 from Advances in Neural Information Processing Systems 35
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  • Fine-Tuning Language Models with Just Forward Passes

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Fine-Tuning Language Models with Just Forward Passes

    Sadhika Malladi, Tianyu Gao, Eshaan Nichani, Alex Damian, Jason Lee, Danqi Chen, Sanjeev Arora p53038-53075 from Advances in Neural Information Processing Systems 36
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  • Fine-Tuning Large Vision-Language Models as Decision-Making Agents via Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Fine-Tuning Large Vision-Language Models as Decision-Making Agents via Reinforcement Learning

    Yuexiang Zhai, Hao Bai, Zipeng Lin, Jiayi Pan, Shengbang Tong, Yifei Zhou, Alane Suhr, Saining Xie, Yann Lecun, Yi Ma, Sergey Levine p110935-110971 from Advances in Neural Information Processing Systems 37
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  • Fine-Tuning Personalization in Federated Learning to Mitigate Adversarial Clients

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Fine-Tuning Personalization in Federated Learning to Mitigate Adversarial Clients

    Youssef Allouah, Abdellah El Mrini, Rachid Guerraoui, Nirupam Gupta, Rafael Pinot p100816-100844 from Advances in Neural Information Processing Systems 37
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  • Fine-Tuning Pre-Trained Language Models Effectively by Optimizing Subnetworks Adaptively

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Fine-Tuning Pre-Trained Language Models Effectively by Optimizing Subnetworks Adaptively

    Haojie Zhang, Ge Li, Jia Li, Zhongjin Zhang, Yuqi Zhu, Zhi Jin p21442-21454 from Advances in Neural Information Processing Systems 35
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  • FineCLIP: Self-distilled Region-based CLIP for Better Fine-grained Understanding

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    FineCLIP: Self-distilled Region-based CLIP for Better Fine-grained Understanding

    Dong Jing, Xiaolong He, Yutian Luo, Nanyi Fei, Guoxing Yang, Wei Wei, Huiwen Zhao, Zhiwu Lu p27896-27918 from Advances in Neural Information Processing Systems 37
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  • FineMoGen: Fine-Grained Spatio-Temporal Motion Generation and Editing

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    FineMoGen: Fine-Grained Spatio-Temporal Motion Generation and Editing

    Mingyuan Zhang, Huirong Li, Zhongang Cai, Jiawei Ren, Lei Yang, Ziwei Liu p13981-13992 from Advances in Neural Information Processing Systems 36
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