Paper

  • Enhancing Minority Classes by Mixing: An Adaptative Optimal Transport Approach for Long-tailed Classification

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Enhancing Minority Classes by Mixing: An Adaptative Optimal Transport Approach for Long-tailed Classification

    Jintong Gao, He Zhao, Zhuo Li, Dandan Guo p60329-60348 from Advances in Neural Information Processing Systems 36
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  • Enhancing Motion Deblurring in High-Speed Scenes with Spike Streams

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Enhancing Motion Deblurring in High-Speed Scenes with Spike Streams

    Shiyan Chen, Jiyuan Zhang, Yajing Zheng, Tiejun Huang, Zhaofei Yu p70279-70292 from Advances in Neural Information Processing Systems 36
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  • Enhancing Motion in Text-to-Video Generation with Decomposed Encoding and Conditioning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Enhancing Motion in Text-to-Video Generation with Decomposed Encoding and Conditioning

    Penghui Ruan, Pichao Wang, Divya Saxena, Jiannong Cao, Yuhui Shi p70101-70129 from Advances in Neural Information Processing Systems 37
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  • ENHANCING MULTI-STOREY BUILDINGS WITH CLT CORES USING LVL TECHNOLOGY: DESIGN AND TESTING

    World Conference on Timber Engineering 2025

    ENHANCING MULTI-STOREY BUILDINGS WITH CLT CORES USING LVL TECHNOLOGY: DESIGN AND TESTING

    Ferdinand Oswald, John Chapman, Pierre Quenneville, Luka Rigter p2303-2312 from 14th World Conference on Timber Engineering 2025 (WCTE 2025)
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  • Enhancing Multiple Dimensions of Trustworthiness in LLMs via Sparse Activation Control

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Enhancing Multiple Dimensions of Trustworthiness in LLMs via Sparse Activation Control

    Yuxin Xiao, Chaoqun Wan, Yonggang Zhang, Wenxiao Wang, Binbin Lin, Xiaofei He, Xu Shen, Jieping Ye p15730-15764 from Advances in Neural Information Processing Systems 37
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  • Enhancing Preference-based Linear Bandits via Human Response Time

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Enhancing Preference-based Linear Bandits via Human Response Time

    Shen Li, Yuyang Zhang, Zhaolin Ren, Claire Liang, Na Li, Julie Shah p16852-16893 from Advances in Neural Information Processing Systems 37
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  • Enhancing Protein Mutation Effect Prediction through a Retrieval-Augmented Framework

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Enhancing Protein Mutation Effect Prediction through a Retrieval-Augmented Framework

    Ruihan Guo, Rui Wang, Ruidong Wu, Zhizhou Ren, Jiahan Li, Shitong Luo, Zuofan Wu, Qiang Liu, Jian Peng, Jianzhu Ma p49130-49153 from Advances in Neural Information Processing Systems 37
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  • Enhancing Reasoning Capabilities of LLMs via Principled Synthetic Logic Corpus

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Enhancing Reasoning Capabilities of LLMs via Principled Synthetic Logic Corpus

    Terufumi Morishita, Gaku Morio, Atsuki Yamaguchi, Yasuhiro Sogawa p73572-73604 from Advances in Neural Information Processing Systems 37
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  • ENHANCING RENEWABLE ENERGY FORECASTING FOR HYBRID POWER STATIONS: A DATA-DRIVEN APPROACH

    ECOS 2024

    ENHANCING RENEWABLE ENERGY FORECASTING FOR HYBRID POWER STATIONS: A DATA-DRIVEN APPROACH

    Francesco Superchi, Antonis Moustakis, George Pechivanoglou, Alessandro Bianchini p2434-2445 from 37th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2024)
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  • Enhancing Robot Program Synthesis Through Environmental Context

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Enhancing Robot Program Synthesis Through Environmental Context

    Tianyi Chen, Qidi Wang, Zhen Dong, Liwei Shen, Xin Peng p3881-3893 from Advances in Neural Information Processing Systems 36
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  • Enhancing Robustness in Deep Reinforcement Learning: A Lyapunov Exponent Approach

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Enhancing Robustness in Deep Reinforcement Learning: A Lyapunov Exponent Approach

    Rory Young, Nicolas Pugeault p86102-86123 from Advances in Neural Information Processing Systems 37
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  • Enhancing Robustness of Graph Neural Networks on Social Media with Explainable Inverse Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Enhancing Robustness of Graph Neural Networks on Social Media with Explainable Inverse Reinforcement Learning

    Yuefei Lyu, Chaozhuo Li, Sihong Xie, Xi Zhang p31736-31758 from Advances in Neural Information Processing Systems 37
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