Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • Injecting Domain Knowledge from Empirical Interatomic Potentials to Neural Networks for Predicting Material Properties

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Injecting Domain Knowledge from Empirical Interatomic Potentials to Neural Networks for Predicting Material Properties

    Zeren Shui, Daniel Karls, Mingjian Wen, Ilia Nikiforov, Ellad Tadmor, George Karypis p14839-14851 from Advances in Neural Information Processing Systems 35
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  • Injecting Frame-Event Complementary Fusion into Diffusion for Optical Flow in Challenging Scenes

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Injecting Frame-Event Complementary Fusion into Diffusion for Optical Flow in Challenging Scenes

    Haonan Wang, Hanyu Zhou, Haoyue Liu, Luxin Yan p35682-35701 from Advances in Neural Information Processing Systems 38
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  • Injecting Multimodal Information into Rigid Protein Docking via Bi-level Optimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Injecting Multimodal Information into Rigid Protein Docking via Bi-level Optimization

    Ruijia Wang, Yiwu Sun, Yujie Luo, Shaochuan Li, Cheng Yang, Xingyi Cheng, Hui Li, Chuan Shi, Le Song p38266-38283 from Advances in Neural Information Processing Systems 36
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  • Injecting Undetectable Backdoors in Obfuscated Neural Networks and Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Injecting Undetectable Backdoors in Obfuscated Neural Networks and Language Models

    Alkis Kalavasis, Amin Karbasi, Argyris Oikonomou, Katerina Sotiraki, Grigoris Velegkas, Manolis Zampetakis p21537-21571 from Advances in Neural Information Processing Systems 37
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  • Inner Product-based Neural Network Similarity

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Inner Product-based Neural Network Similarity

    Wei Chen, Zichen Miao, Qiang Qiu p73995-74020 from Advances in Neural Information Processing Systems 36
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  • Inner Speech as Behavior Guides: Steerable Imitation of Diverse Behaviors for Human-AI coordination

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Inner Speech as Behavior Guides: Steerable Imitation of Diverse Behaviors for Human-AI coordination

    Rakshit Trivedi, Kartik Sharma, David Parkes p87823-87859 from Advances in Neural Information Processing Systems 38
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  • Inner-Outer Aware Reconstruction Model for Monocular 3D Scene Reconstruction

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Inner-Outer Aware Reconstruction Model for Monocular 3D Scene Reconstruction

    Yu-Kun Qiu, Guo-Hao Xu, Wei-Shi Zheng p12074-12086 from Advances in Neural Information Processing Systems 36
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  • Inpainting the Neural Picture: Inferring Unrecorded Brain Area Dynamics from Multi-Animal Datasets

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Inpainting the Neural Picture: Inferring Unrecorded Brain Area Dynamics from Multi-Animal Datasets

    Ji Xia, Yizi Zhang, Shuqi Wang, Genevera Allen, Liam Paninski, Cole Hurwitz, Kenneth Miller p87758-87790 from Advances in Neural Information Processing Systems 38
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  • Input-to-State Stable Coupled Oscillator Networks for Closed-form Model-based Control in Latent Space

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Input-to-State Stable Coupled Oscillator Networks for Closed-form Model-based Control in Latent Space

    Maximilian Stölzle, Cosimo Della Santina p82010-82059 from Advances in Neural Information Processing Systems 37
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  • INQUIRE: A Natural World Text-to-Image Retrieval Benchmark

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    INQUIRE: A Natural World Text-to-Image Retrieval Benchmark

    Edward Vendrow, Omiros Pantazis, Alexander Shepard, Gabriel Brostow, Kate Jones, Oisin Mac Aodha, Sara Beery, Grant Van Horn p126500-126514 from Advances in Neural Information Processing Systems 37
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  • INRAS: Implicit Neural Representation for Audio Scenes

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    INRAS: Implicit Neural Representation for Audio Scenes

    Kun Su, Mingfei Chen, Eli Shlizerman p8144-8158 from Advances in Neural Information Processing Systems 35
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  • InsActor: Instruction-driven Physics-based Characters

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    InsActor: Instruction-driven Physics-based Characters

    Jiawei Ren, Mingyuan Zhang, Cunjun Yu, Xiao Ma, Liang Pan, Ziwei Liu p59911-59923 from Advances in Neural Information Processing Systems 36
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  • Inserting Anybody in Diffusion Models via Celeb Basis

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Inserting Anybody in Diffusion Models via Celeb Basis

    Ge Yuan, Xiaodong Cun, Yong Zhang, Maomao Li, Chenyang Qi, Xintao Wang, Ying Shan, Huicheng Zheng p72958-72982 from Advances in Neural Information Processing Systems 36
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  • Insights into Pre-Training Via Simpler Synthetic Tasks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Insights into Pre-Training Via Simpler Synthetic Tasks

    Yuhuai Wu, Felix Li, Percy Liang p21844-21857 from Advances in Neural Information Processing Systems 35
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  • InsNet: An Efficient, Flexible, and Performant Insertion-Based Text Generation Model

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    InsNet: An Efficient, Flexible, and Performant Insertion-Based Text Generation Model

    Sidi Lu, Tao Meng, Nanyun Peng p7011-7023 from Advances in Neural Information Processing Systems 35
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  • INSPECT: A Multimodal Dataset for Patient Outcome Prediction of Pulmonary Embolisms

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    INSPECT: A Multimodal Dataset for Patient Outcome Prediction of Pulmonary Embolisms

    Shih-Cheng Huang, Zepeng Huo, Ethan Steinberg, Chia-Chun Chiang, Curtis Langlotz, Matthew Lungren, Serena Yeung, Nigam Shah, Jason Fries p17742-17772 from Advances in Neural Information Processing Systems 36
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  • InsPro: Propagating Instance Query and Proposal for Online Video Instance Segmentation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    InsPro: Propagating Instance Query and Proposal for Online Video Instance Segmentation

    Fei He, Haoyang Zhang, Naiyu Gao, Jian Jia, Yanhu Shan, Xin Zhao, Kaiqi Huang p19370-19383 from Advances in Neural Information Processing Systems 35
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  • INST-IT: Boosting Instance Understanding via Explicit Visual Prompt Instruction Tuning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    INST-IT: Boosting Instance Understanding via Explicit Visual Prompt Instruction Tuning

    Wujian Peng, Lingchen Meng, Yitong Chen, Yiweng Xie, Yang Liu, Tao Gui, Hang Xu, Xipeng Qiu, Zuxuan Wu, Yu-Gang Jiang p55778-55808 from Advances in Neural Information Processing Systems 38
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  • Instability and Local Minima in GAN Training with Kernel Discriminators

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Instability and Local Minima in GAN Training with Kernel Discriminators

    Evan Becker, Parthe Pandit, Sundeep Rangan, Alyson Fletcher p20300-20312 from Advances in Neural Information Processing Systems 35
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  • InstaInpaint: Instant 3D-Scene Inpainting with Masked Large Reconstruction Model

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    InstaInpaint: Instant 3D-Scene Inpainting with Masked Large Reconstruction Model

    Junqi You, Chieh Lin, Weijie Lyu, Zhengbo Zhang, Ming-Hsuan Yang p170464-170484 from Advances in Neural Information Processing Systems 38
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  • Instance-adaptive Zero-shot Chain-of-Thought Prompting

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Instance-adaptive Zero-shot Chain-of-Thought Prompting

    Xiaosong Yuan, Chen Shen, Shaotian Yan, Xiaofeng Zhang, Liang Xie, Wenxiao Wang, Renchu Guan, Ying Wang, Jieping Ye p125469-125486 from Advances in Neural Information Processing Systems 37
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  • Instance-Based Learning for Knowledge Base Completion

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Instance-Based Learning for Knowledge Base Completion

    Wanyun Cui, Xingran Chen p30744-30755 from Advances in Neural Information Processing Systems 35
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  • Instance-Based Uncertainty Estimation for Gradient-Boosted Regression Trees

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Instance-Based Uncertainty Estimation for Gradient-Boosted Regression Trees

    Jonathan Brophy, Daniel Lowd p11145-11159 from Advances in Neural Information Processing Systems 35
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  • Instance-Dependent Near-Optimal Policy Identification in Linear MDPs Via Online Experiment Design

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Instance-Dependent Near-Optimal Policy Identification in Linear MDPs Via Online Experiment Design

    Andrew Wagenmaker, Kevin Jamieson p5968-5981 from Advances in Neural Information Processing Systems 35
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