Paper

  • One Sample Fits All: Approximating All Probabilistic Values Simultaneously and Efficiently

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    One Sample Fits All: Approximating All Probabilistic Values Simultaneously and Efficiently

    Weida Li, Yaoliang Yu p58309-58340 from Advances in Neural Information Processing Systems 37
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  • One Token to Seg Them All: Language Instructed Reasoning Segmentation in Videos

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    One Token to Seg Them All: Language Instructed Reasoning Segmentation in Videos

    Zechen Bai, Joya Chen, Ziteng Gao, Tong He, Lei Liu, Haiyang Mei, Mike Shou, Pichao Wang, Zheng Zhang p6833-6859 from Advances in Neural Information Processing Systems 37
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  • One-2-3-45: Any Single Image to 3D Mesh in 45 Seconds without Per-Shape Optimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    One-2-3-45: Any Single Image to 3D Mesh in 45 Seconds without Per-Shape Optimization

    Linghao Chen, Haian Jin, Minghua Liu, Hao Su, Mukund Varma T, Chao Xu, Zexiang Xu p22226-22246 from Advances in Neural Information Processing Systems 36
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  • One-for-All: Bridge the Gap Between Heterogeneous Architectures in Knowledge Distillation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    One-for-All: Bridge the Gap Between Heterogeneous Architectures in Knowledge Distillation

    Jianyuan Guo, Kai Han, Zhiwei Hao, Han Hu, Yehui Tang, Yunhe Wang, Chang Xu p79570-79582 from Advances in Neural Information Processing Systems 36
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  • One-Inlier is First: Towards Efficient Position Encoding for Point Cloud Registration

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    One-Inlier is First: Towards Efficient Position Encoding for Point Cloud Registration

    Zhi Chen, Lin Guo, Wenbing Tao, Fan Yang p6982-6995 from Advances in Neural Information Processing Systems 35
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  • One-Layer Transformer Provably Learns One-Nearest Neighbor In Context

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    One-Layer Transformer Provably Learns One-Nearest Neighbor In Context

    Yuan Cao, Jianqing Fan, Cheng Gao, Yihan He, Jason Klusowski, Zihao Li, Han Liu, Mengdi Wang p82166-82204 from Advances in Neural Information Processing Systems 37
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  • One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative Models

    Maurizio Filippone, Giulio Franzese, Pietro Michiardi, Ba-Hien Tran p6545-6567 from Advances in Neural Information Processing Systems 36
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  • One-Pass Distribution Sketch for Measuring Data Heterogeneity in Federated Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    One-Pass Distribution Sketch for Measuring Data Heterogeneity in Federated Learning

    Benjamin Coleman, Zichang Liu, Anshumali Shrivastava, Zhaozhuo Xu p15660-15679 from Advances in Neural Information Processing Systems 36
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  • One-shot Federated Learning via Synthetic Distiller-Distillate Communication

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    One-shot Federated Learning via Synthetic Distiller-Distillate Communication

    Songhua Liu, Xinchao Wang, Junyuan Zhang p102611-102633 from Advances in Neural Information Processing Systems 37
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  • One-Shot Neural Backdoor Erasing Via Adversarial Weight Masking

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    One-Shot Neural Backdoor Erasing Via Adversarial Weight Masking

    Shuwen Chai, Jinghui Chen p22285-22299 from Advances in Neural Information Processing Systems 35
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  • One-Shot Safety Alignment for Large Language Models via Optimal Dualization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    One-Shot Safety Alignment for Large Language Models via Optimal Dualization

    Osbert Bastani, Dongsheng Ding, Edgar Dobriban, Hamed Hassani, Xinmeng Huang, Shuo Li p84350-84383 from Advances in Neural Information Processing Systems 37
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  • One-step differentiation of iterative algorithms

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    One-step differentiation of iterative algorithms

    Jerome Bolte, Edouard Pauwels, Samuel Vaiter p77089-77103 from Advances in Neural Information Processing Systems 36
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