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

    Alexandra Carpentier, Tomáš Kocák, El Mehdi Saad, 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

    Wei-Ming Chen, Chuang Gan, Song Han, Ji Lin, Wei-Chen Wang, Ligeng Zhu 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

    Yilong Chen, Zhixiong Nan, Tao Xiang, Tianfei Zhou 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, Jin Song Dong, Yeyun Gong, Yun Lin, Chenyan Liu, Yiming Liu, Jinglian Wu, Yifan Zhang 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

    Mengyi Chen, Yixuan Chen, Robert Dick, Fang Dong, Mingzhi Dong, Ning Gu, Dongsheng Li, Tun Lu, Qin Lv, Li Shang, Yubin Shi, Yujiang Wang, Fan Yang, Xiaochen Yang, Jixian Zhou, Rui Zhu 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

    Rong Jin, Peisong Niu, Liang Sun, Xue Wang, Tian Zhou 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

    Yali Li, Shengjin Wang, Zhenyu Wang, Hengshuang Zhao 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, Ramya Korlakai Vinayak, Blake Mason, 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

    Vipin Chaudhary, Xia Hu, Zachary Leclaire, Zirui Liu, Shuai Xu, Zaichuan You, Daochen Zha, Jiamu Zhang, Sebastian Zhao, Shaochen (Henry) Zhong 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

    Qifeng Chen, Xintong Han, Hongyu Liu, Yibing Song, Jue Wang, Chun Yuan, Ziyang Yuan, Yiming Zhu 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

    Xin Geng, Jiaqi Lv, Congyu Qiao, Ning Xu, 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

    Nick Hawes, Bruno Lacerda, Marc Rigter 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, 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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