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

    Lijun Ding, Feng-Yi Liao, 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

    Guoguang Du, Baoyu Fan, Zhenhua Guo, Xuanjing Huang, Qi Jia, Liang Jin, Rengang Li, Lu Liu, Cong Xu, Yaqian Zhao 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

    Ali Hasan, Yuting Ng, 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

    Shreya Saxena, Yongxu Zhang 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, Sergey Levine, Vivek Myers, Ruslan Salakhutdinov 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, Hanspeter Pfister, Fernanda Viégas, 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

    Yitong Deng, Yuan Gao, Jiajun Wu, Hong-Xing Yu, Yang Zheng, Bo Zhu 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, Zhizhong Han, Yu-Shen Liu 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

    Manuel Gloeckler, Jakob H Macke, Matthijs Pals, Felix Pei, A Erdem SaÄźtekin 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

    Shijie Geng, Yibo He, Ziyue Hua, Linyi Li, Zhenwen Li, Guanghan Ning, Siwei Wang, Tao Xie, Hongxia Yang, Hao Yu 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

    Mehak Dhaliwal, Julian McAuley, Noveen Sachdeva, Carole-Jean Wu 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

    Xiang Chen, Maoliang Li, Jinjun Xiong, Chenhui Xu, Zirui Xu, Fuxun Yu, Zihao Zheng 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

    Robert Kirby, Shibo Li, Zheng Wang, 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

    Xu Han, Yankai Lin, Zhiyuan Liu, Maosong Sun, Chaojun Xiao, Guangxuan Xiao, Pengle Zhang, Zhengyan Zhang 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

    Michael Everett, Jakob Foerster, Jonathan How, Dong-Ki Kim, Miao Liu, Matthew Riemer, Chuangchuang Sun, Gerald Tesauro 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

    Songlin Hou, Vijaya Kolachalama, Fangzhou Lin, Venkatesh Saligrama, Kazunori Yamada, Yun Yue, Ziming Zhang 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

    Ricardo Henao, Shuai Li, Chaochao Lu, Zhao Song, Rui Wang, Junda Wu, Tong Yu, Ruiyi Zhang, Handong Zhao 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

    Rong Bao, Liang Ding, Yuchun Miao, Dacheng Tao, Lefei Zhang, Sen Zhang 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

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