Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • Inevitable Trade-off between Watermark Strength and Speculative Sampling Efficiency for Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Inevitable Trade-off between Watermark Strength and Speculative Sampling Efficiency for Language Models

    Zhengmian Hu, Heng Huang p55370-55402 from Advances in Neural Information Processing Systems 37
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  • Inexact Augmented Lagrangian Methods for Conic Optimization: Quadratic Growth and Linear Convergence

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Inexact Augmented Lagrangian Methods for Conic Optimization: Quadratic Growth and Linear Convergence

    Feng-Yi Liao, Lijun Ding, Yang Zheng p41013-41050 from Advances in Neural Information Processing Systems 37
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  • Infer Induced Sentiment of Comment Response to Video: A New Task, Dataset and Baseline

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Infer Induced Sentiment of Comment Response to Video: A New Task, Dataset and Baseline

    Qi Jia, Baoyu Fan, Cong Xu, Lu Liu, Liang Jin, Guoguang Du, Zhenhua Guo, Yaqian Zhao, Xuanjing Huang, Rengang Li p103737-103750 from Advances in Neural Information Processing Systems 37
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  • Inference and Sampling for Archimax Copulas

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Inference and Sampling for Archimax Copulas

    Yuting Ng, Ali Hasan, Vahid Tarokh p17099-17116 from Advances in Neural Information Processing Systems 35
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  • Inference of Neural Dynamics Using Switching Recurrent Neural Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Inference of Neural Dynamics Using Switching Recurrent Neural Networks

    Yongxu Zhang, Shreya Saxena p131456-131481 from Advances in Neural Information Processing Systems 37
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  • Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference

    Benjamin Eysenbach, Vivek Myers, Ruslan Salakhutdinov, Sergey Levine p58901-58928 from Advances in Neural Information Processing Systems 37
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  • Inference-Time Intervention: Eliciting Truthful Answers from a Language Model

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Inference-Time Intervention: Eliciting Truthful Answers from a Language Model

    Kenneth Li, Oam Patel, Fernanda Viégas, Hanspeter Pfister, Martin Wattenberg p41451-41530 from Advances in Neural Information Processing Systems 36
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  • Inferring Hybrid Neural Fluid Fields from Videos

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Inferring Hybrid Neural Fluid Fields from Videos

    Hong-Xing Yu, Yang Zheng, Yuan Gao, Yitong Deng, Bo Zhu, Jiajun Wu p63595-63608 from Advances in Neural Information Processing Systems 36
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  • Inferring Neural Signed Distance Functions by Overfitting on Single Noisy Point Clouds through Finetuning Data-Driven based Priors

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Inferring Neural Signed Distance Functions by Overfitting on Single Noisy Point Clouds through Finetuning Data-Driven based Priors

    Chao Chen, Yu-Shen Liu, Zhizhong Han p60872-60896 from Advances in Neural Information Processing Systems 37
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  • Inferring stochastic low-rank recurrent neural networks from neural data

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Inferring stochastic low-rank recurrent neural networks from neural data

    Matthijs Pals, A Erdem Sagtekin, Felix Pei, Manuel Gloeckler, Jakob H Macke p18225-18264 from Advances in Neural Information Processing Systems 37
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  • Inferring the Future by Imagining the Past

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Inferring the Future by Imagining the Past

    Kartik Chandra, Tony Chen, Tzu-Mao Li, Jonathan Ragan-Kelley, Josh Tenenbaum p21196-21216 from Advances in Neural Information Processing Systems 36
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  • InfiBench: Evaluating the Question-Answering Capabilities of Code Large Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    InfiBench: Evaluating the Question-Answering Capabilities of Code Large Language Models

    Linyi Li, Shijie Geng, Zhenwen Li, Yibo He, Hao Yu, Ziyue Hua, Guanghan Ning, Siwei Wang, Tao Xie, Hongxia Yang p128668-128698 from Advances in Neural Information Processing Systems 37
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  • Infinite Limits of Multi-head Transformer Dynamics

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Infinite Limits of Multi-head Transformer Dynamics

    Blake Bordelon, Hamza Chaudhry, Cengiz Pehlevan p35824-35878 from Advances in Neural Information Processing Systems 37
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  • Infinite Recommendation Networks: A Data-Centric Approach

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Infinite Recommendation Networks: A Data-Centric Approach

    Noveen Sachdeva, Mehak Dhaliwal, Carole-Jean Wu, Julian McAuley p31292-31305 from Advances in Neural Information Processing Systems 35
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  • Infinite-Dimensional Feature Interaction

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Infinite-Dimensional Feature Interaction

    Chenhui Xu, Fuxun Yu, Maoliang Li, Zihao Zheng, Zirui Xu, Jinjun Xiong, Xiang Chen p92381-92400 from Advances in Neural Information Processing Systems 37
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  • Infinite-Fidelity Coregionalization for Physical Simulation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Infinite-Fidelity Coregionalization for Physical Simulation

    Shibo Li, Zheng Wang, Robert Kirby, Shandian Zhe p25965-25978 from Advances in Neural Information Processing Systems 35
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  • Inflationary Flows: Calibrated Bayesian Inference with Diffusion-Based Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Inflationary Flows: Calibrated Bayesian Inference with Diffusion-Based Models

    Daniela De Albuquerque, John Pearson p96847-96891 from Advances in Neural Information Processing Systems 37
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  • InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context Memory

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context Memory

    Chaojun Xiao, Pengle Zhang, Xu Han, Guangxuan Xiao, Yankai Lin, Zhengyan Zhang, Zhiyuan Liu, Maosong Sun p119638-119661 from Advances in Neural Information Processing Systems 37
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  • Influencing Long-Term Behavior in Multiagent Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Influencing Long-Term Behavior in Multiagent Reinforcement Learning

    Dong-Ki Kim, Matthew Riemer, Miao Liu, Jakob Foerster, Michael Everett, Chuangchuang Sun, Gerald Tesauro, Jonathan How p18808-18821 from Advances in Neural Information Processing Systems 35
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  • InfoCD: A Contrastive Chamfer Distance Loss for Point Cloud Completion

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    InfoCD: A Contrastive Chamfer Distance Loss for Point Cloud Completion

    Fangzhou Lin, Yun Yue, Ziming Zhang, Songlin Hou, Kazunori Yamada, Vijaya Kolachalama, Venkatesh Saligrama p76960-76973 from Advances in Neural Information Processing Systems 36
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  • InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding

    Junda Wu, Tong Yu, Rui Wang, Zhao Song, Ruiyi Zhang, Handong Zhao, Chaochao Lu, Shuai Li, Ricardo Henao p61060-61084 from Advances in Neural Information Processing Systems 36
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  • InfoRM: Mitigating Reward Hacking in RLHF via Information-Theoretic Reward Modeling

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    InfoRM: Mitigating Reward Hacking in RLHF via Information-Theoretic Reward Modeling

    Yuchun Miao, Sen Zhang, Liang Ding, Rong Bao, Lefei Zhang, Dacheng Tao p134387-134429 from Advances in Neural Information Processing Systems 37
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  • Information Bottleneck Theory of High-Dimensional Regression: Relevancy, Efficiency and Optimality

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Information Bottleneck Theory of High-Dimensional Regression: Relevancy, Efficiency and Optimality

    Vudtiwat Ngampruetikorn, David Schwab p9784-9796 from Advances in Neural Information Processing Systems 35
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  • Information Design in Multi-Agent Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Information Design in Multi-Agent Reinforcement Learning

    Yue Lin, Wenhao Li, Hongyuan Zha, Baoxiang Wang p25584-25597 from Advances in Neural Information Processing Systems 36
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