Paper

  • InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning

    Wenliang Dai, Junnan Li, Dongxu Li, Anthony Tiong, Junqi Zhao, Weisheng Wang, Boyang Li, Pascale N Fung, Steven Hoi p49250-49267 from Advances in Neural Information Processing Systems 36
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  • InstructG2I: Synthesizing Images from Multimodal Attributed Graphs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    InstructG2I: Synthesizing Images from Multimodal Attributed Graphs

    Bowen Jin, Ziqi Pang, Bingjun Guo, Yu-Xiong Wang, Jiaxuan You, Jiawei Han p117614-117635 from Advances in Neural Information Processing Systems 37
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  • Instructing Goal-Conditioned Reinforcement Learning Agents with Temporal Logic Objectives

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Instructing Goal-Conditioned Reinforcement Learning Agents with Temporal Logic Objectives

    Wenjie Qiu, Wensen Mao, He Zhu p39147-39175 from Advances in Neural Information Processing Systems 36
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  • Instruction Embedding: Latent Representations of Instructions Towards Task Identification

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Instruction Embedding: Latent Representations of Instructions Towards Task Identification

    Yiwei Li, Jiayi Shi, Shaoxiong Feng, Peiwen Yuan, Xinglin Wang, Boyuan Pan, Heda Wang, Yao Hu, Kan Li p87683-87711 from Advances in Neural Information Processing Systems 37
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  • Instruction Tuning Large Language Models to Understand Electronic Health Records

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Instruction Tuning Large Language Models to Understand Electronic Health Records

    Zhenbang Wu, Anant Dadu, Mike Nalls, Faraz Faghri, Jimeng Sun p54772-54786 from Advances in Neural Information Processing Systems 37
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  • Instruction Tuning With Loss Over Instructions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Instruction Tuning With Loss Over Instructions

    Zhengyan Shi, Adam Yang, Bin Wu, Laurence Aitchison, Emine Yilmaz, Aldo Lipani p69176-69205 from Advances in Neural Information Processing Systems 37
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  • Instruction-Guided Visual Masking

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Instruction-Guided Visual Masking

    Jinliang Zheng, Jianxiong Li, Sijie Cheng, Yinan Zheng, Jiaming Li, Jihao Liu, Yu Liu, Jingjing Liu, Xianyuan Zhan p126004-126031 from Advances in Neural Information Processing Systems 37
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  • Instructor-inspired Machine Learning for Robust Molecular Property Prediction

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Instructor-inspired Machine Learning for Robust Molecular Property Prediction

    Fang Wu, Shuting Jin, Siyuan Li, Stan Z. Li p116202-116222 from Advances in Neural Information Processing Systems 37
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  • Instrumented Drop Mass for Impact Response Stab-Resistant Body Armour Testing

    Royal Military Academy (Belgium)

    Instrumented Drop Mass for Impact Response Stab-Resistant Body Armour Testing

    S. Jenkin, B. Cazzolato, C. F. Jones, D. Thompson p448-457 from 17th Personal Armour Systems Symposium (PASS 2025)
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  • Integral Probability Metrics PAC-Bayes Bounds

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Integral Probability Metrics PAC-Bayes Bounds

    Ron Amit, Baruch Epstein, Shay Moran, Ron Meir p3123-3136 from Advances in Neural Information Processing Systems 35
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  • INTEGRATED ANALYSIS OF GEOTHERMAL RESERVOIR AND BINARY POWER CYCLE SYSTEM

    ECOS 2024

    INTEGRATED ANALYSIS OF GEOTHERMAL RESERVOIR AND BINARY POWER CYCLE SYSTEM

    Nishith Babubhai Desai, Ivanka M. Orozova-Bekkevold, Frederik Lomholt Christensen, Fredrik Haglind p1422-1432 from 37th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2024)
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  • INTEGRATED APPROACH TO PREDICT DETERIORATION OF MECHANICAL PROPERTIES OF DECAYING WOOD

    World Conference on Timber Engineering 2023 (WCTE 2023)

    INTEGRATED APPROACH TO PREDICT DETERIORATION OF MECHANICAL PROPERTIES OF DECAYING WOOD

    Petr Hradil, Stefania Fortino p536-541 from World Conference on Timber Engineering (WCTE 2023)
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