Resultados de búsqueda - Lin, Sen

A Comprehensive Survey of Mixture-of-Experts: Algorithms, Theory, and Applications por Mu, Siyuan, Lin, Sen

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Rethinking Continual Anomaly Detection on the Edge: Benchmarking Under Realistic Industrial Conditions por Weatherly, Chad, Lin, Sen

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WaveletFormerNet: A Transformer-based Wavelet Network for Real-world Non-homogeneous and Dense Fog Removal por Zhang, Shengli, Tao, Zhiyong, Lin, Sen

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DedustNet: A Frequency-dominated Swin Transformer-based Wavelet Network for Agricultural Dust Removal por Zhang, Shengli, Tao, Zhiyong, Lin, Sen

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Highly efficient Gauss's law-preserving spectral algorithms for Maxwell's double-curl source and eigenvalue problems based on eigen-decomposition por Lin, Sen, Li, Huiyuan, Yang, Zhiguo

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Multi-Quantile Estimators for the parameters of Generalized Extreme Value distribution por Lin, Sen, Kong, Ao, Azencott, Robert

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Can Generalized Extreme Value Model Fit the Real Stocks por Lin, Sen, Kong, Ao, Azencott, Robert

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Knowledge-Guided Machine Learning for Stabilizing Near-Shortest Path Routing por Chen, Yung-Fu, Lin, Sen, Arora, Anish

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Reward Modeling for Reinforcement Learning-Based LLM Reasoning: Design, Challenges, and Evaluation por Pan, Pei-Chi, Liang, Yingbin, Lin, Sen

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Algorithm Design for Online Meta-Learning with Task Boundary Detection por Sow, Daouda, Lin, Sen, Liang, Yingbin, Zhang, Junshan

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Towards Fast Safe Online Reinforcement Learning via Policy Finetuning por Chen, Keru, Wei, Honghao, Deng, Zhigang, Lin, Sen

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Rethinking Continual Learning with Progressive Neural Collapse por Wang, Zheng, Yu, Wanhao, Yang, Li, Lin, Sen

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Uncertainty Guided Online Ensemble for Non-stationary Data Streams in Fusion Science por Rajput, Kishansingh, Schram, Malachi, Sammuli, Brian, Lin, Sen

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Outlook Towards Deployable Continual Learning for Particle Accelerators por Rajput, Kishansingh, Lin, Sen, Edelen, Auralee, Blokland, Willem, Schram, Malachi

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More Than Memory Savings: Zeroth-Order Optimization Mitigates Forgetting in Continual Learning por Yu, Wanhao, Wang, Zheng, Niu, Shuteng, Lin, Sen, Yang, Li

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Theory on Mixture-of-Experts in Continual Learning por Li, Hongbo, Lin, Sen, Duan, Lingjie, Liang, Yingbin, Shroff, Ness B.

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Mixture-of-Transformers Learn Faster: A Theoretical Study on Classification Problems por Li, Hongbo, Wu, Qinhang, Lin, Sen, Liang, Yingbin, Shroff, Ness B.

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Constraint-Rectified Training for Efficient Chain-of-Thought por Wu, Qinhang, Lin, Sen, Zhang, Ming, Liang, Yingbin, Shroff, Ness B.

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OLLIE: Imitation Learning from Offline Pretraining to Online Finetuning por Yue, Sheng, Hua, Xingyuan, Ren, Ju, Lin, Sen, Zhang, Junshan, Zhang, Yaoxue

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Unlocking the Power of Rehearsal in Continual Learning: A Theoretical Perspective por Deng, Junze, Wu, Qinhang, Ju, Peizhong, Lin, Sen, Liang, Yingbin, Shroff, Ness

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