Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • On Weak Regret Analysis for Dueling Bandits

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On Weak Regret Analysis for Dueling Bandits

    El Mehdi Saad, Alexandra Carpentier, Tomáš Kocák, Nicolas Verzelen p40752-40791 from Advances in Neural Information Processing Systems 37
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  • On-Demand Sampling: Learning Optimally from Multiple Distributions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On-Demand Sampling: Learning Optimally from Multiple Distributions

    Nika Haghtalab, Michael Jordan, Eric Zhao p406-419 from Advances in Neural Information Processing Systems 35
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  • On-Device Training Under 256KB Memory

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On-Device Training Under 256KB Memory

    Ji Lin, Ligeng Zhu, Wei-Ming Chen, Wei-Chen Wang, Chuang Gan, Song Han p22941-22954 from Advances in Neural Information Processing Systems 35
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  • On-Road Object Importance Estimation: A New Dataset and A Model with Multi-Fold Top-Down Guidance

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On-Road Object Importance Estimation: A New Dataset and A Model with Multi-Fold Top-Down Guidance

    Zhixiong Nan, Yilong Chen, Tianfei Zhou, Tao Xiang p129967-129987 from Advances in Neural Information Processing Systems 37
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  • On-the-Fly Adapting Code Summarization on Trainable Cost-Effective Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    On-the-Fly Adapting Code Summarization on Trainable Cost-Effective Language Models

    Yufan Cai, Yun Lin, Chenyan Liu, Jinglian Wu, Yifan Zhang, Yiming Liu, Yeyun Gong, Jin Song Dong p56660-56672 from Advances in Neural Information Processing Systems 36
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  • Once Read is Enough: Domain-specific Pretraining-free Language Models with Cluster-guided Sparse Experts for Long-tail Domain Knowledge

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Once Read is Enough: Domain-specific Pretraining-free Language Models with Cluster-guided Sparse Experts for Long-tail Domain Knowledge

    Fang Dong, Mengyi Chen, Jixian Zhou, Yubin Shi, Yixuan Chen, Mingzhi Dong, Yujiang Wang, Dongsheng Li, Xiaochen Yang, Rui Zhu, Robert Dick, Qin Lv, Fan Yang, Tun Lu, Ning Gu, Li Shang p88956-88980 from Advances in Neural Information Processing Systems 37
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  • One Fits All: Power General Time Series Analysis by Pretrained LM

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    One Fits All: Power General Time Series Analysis by Pretrained LM

    Tian Zhou, Peisong Niu, Xue Wang, Liang Sun, Rong Jin p43322-43355 from Advances in Neural Information Processing Systems 36
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  • One for All: Multi-Domain Joint Training for Point Cloud Based 3D Object Detection

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    One for All: Multi-Domain Joint Training for Point Cloud Based 3D Object Detection

    Zhenyu Wang, Yali Li, Hengshuang Zhao, Shengjin Wang p56859-56877 from Advances in Neural Information Processing Systems 37
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  • One for All: Simultaneous Metric and Preference Learning Over Multiple Users

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    One for All: Simultaneous Metric and Preference Learning Over Multiple Users

    Gregory Canal, Blake Mason, Ramya Korlakai Vinayak, Robert Nowak p4943-4956 from Advances in Neural Information Processing Systems 35
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  • One Less Reason for Filter Pruning: Gaining Free Adversarial Robustness with Structured Grouped Kernel Pruning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    One Less Reason for Filter Pruning: Gaining Free Adversarial Robustness with Structured Grouped Kernel Pruning

    Shaochen (Henry) Zhong, Zaichuan You, Jiamu Zhang, Sebastian Zhao, Zachary Leclaire, Zirui Liu, Daochen Zha, Vipin Chaudhary, Shuai Xu, Xia Hu p62032-62061 from Advances in Neural Information Processing Systems 36
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  • One Model to Edit Them All: Free-Form Text-Driven Image Manipulation with Semantic Modulations

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    One Model to Edit Them All: Free-Form Text-Driven Image Manipulation with Semantic Modulations

    Yiming Zhu, Hongyu Liu, Yibing Song, Ziyang Yuan, Xintong Han, Chun Yuan, Qifeng Chen, Jue Wang p25146-25159 from Advances in Neural Information Processing Systems 35
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  • One Positive Label is Sufficient: Single-Positive Multi-Label Learning with Label Enhancement

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    One Positive Label is Sufficient: Single-Positive Multi-Label Learning with Label Enhancement

    Ning Xu, Congyu Qiao, Jiaqi Lv, Xin Geng, Min-Ling Zhang p21765-21776 from Advances in Neural Information Processing Systems 35
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  • One Risk to Rule Them All: A Risk-Sensitive Perspective on Model-Based Offline Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    One Risk to Rule Them All: A Risk-Sensitive Perspective on Model-Based Offline Reinforcement Learning

    Marc Rigter, Bruno Lacerda, Nick Hawes p77520-77545 from Advances in Neural Information Processing Systems 36
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  • 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, Tong He, Haiyang Mei, Pichao Wang, Ziteng Gao, Joya Chen, Lei Liu, Zheng Zhang, Mike Shou 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

    Minghua Liu, Chao Xu, Haian Jin, Linghao Chen, Mukund Varma T, Zexiang Xu, Hao Su 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

    Zhiwei Hao, Jianyuan Guo, Kai Han, Yehui Tang, Han Hu, 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

    Fan Yang, Lin Guo, Zhi Chen, Wenbing Tao 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

    Zihao Li, Yuan Cao, Cheng Gao, Yihan He, Han Liu, Jason Klusowski, Jianqing Fan, 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

    Ba-Hien Tran, Giulio Franzese, Pietro Michiardi, Maurizio Filippone 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

    Zichang Liu, Zhaozhuo Xu, Benjamin Coleman, Anshumali Shrivastava 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

    Junyuan Zhang, Songhua Liu, Xinchao Wang 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

    Xinmeng Huang, Shuo Li, Edgar Dobriban, Osbert Bastani, Hamed Hassani, Dongsheng Ding p84350-84383 from Advances in Neural Information Processing Systems 37
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