Resultados de búsqueda - decoding (Algorithmsssic OR (algorithm OR Algorithmsssic))

Spark Transformer: Reactivating Sparsity in FFN and Attention por You, Chong, Wu, Kan, Jia, Zhipeng, Chen, Lin, Bhojanapalli, Srinadh, Guo, Jiaxian, Evci, Utku, Wassenberg, Jan, Netrapalli, Praneeth, Willcock, Jeremiah J., Subramanian, Suvinay, Chern, Felix, Andreev, Alek, Pathak, Shreya, Yu, Felix, Jain, Prateek, Culler, David E., Levy, Henry M., Kumar, Sanjiv

Tabla de Contenidos: “… introduce statistical top-k, a hardware-accelerator-friendly, linear-time approximate algorithm that avoids…”
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Machine Learning for Quantum Noise Reduction por Kendre, Karan

Tabla de Contenidos: “… require substantial qubit overhead and complex syndrome decoding, we propose a machine learning approach…”
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OjaKV: Context-Aware Online Low-Rank KV Cache Compression por Zhu, Yuxuan, Yang, David H., Amiri, Mohammad Mohammadi, Murugesan, Keerthiram, Pedapati, Tejaswini, Chen, Pin-Yu

Tabla de Contenidos: “… basis using Oja's algorithm for online principal component analysis. This adaptation involves a…”
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SparseServe: Unlocking Parallelism for Dynamic Sparse Attention in Long-Context LLM Serving por Zhou, Qihui, Yin, Peiqi, Zuo, Pengfei, Cheng, James

Tabla de Contenidos: “… length. Dynamic sparse attention algorithms (DSAs) mitigate this by attending only to the key-value (KV…”
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Flexible-Sector 6DMA Base Station: Modeling and Design por Li, Yunli, Shi, Xiaoming, Shao, Xiaodan, Xu, Jie, Zhang, Rui

Tabla de Contenidos: “…-forcing (ZF) based receiver applied at the BS to decode multiuser signals, we derive the average sum rate…”
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C2|Q>: A Robust Framework for Bridging Classical and Quantum Software Development por Ye, Boshuai, Khan, Arif Ali, Pihkakoski, Teemu, Liang, Peng, Akbar, Muhammad Azeem, Silveri, Matti, Malmi, Lauri

Tabla de Contenidos: “…, algorithm configuration, hardware selection, and result interpretation - making them difficult for classical…”
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LUT-LLM: Efficient Large Language Model Inference with Memory-based Computations on FPGAs por He, Zifan, Ye, Shengyu, Ma, Rui, Wang, Yang, Cong, Jason

Tabla de Contenidos: “… and deploy language models due to algorithm and architecture design limitations. This paper introduces…”
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MoDES: Accelerating Mixture-of-Experts Multimodal Large Language Models via Dynamic Expert Skipping por Huang, Yushi, Wang, Zining, Yuan, Zhihang, Ding, Yifu, Gong, Ruihao, Guo, Jinyang, Liu, Xianglong, Zhang, Jun

Tabla de Contenidos: “… the optimal thresholds, we introduce a frontier search algorithm that exploits monotonicity properties…”
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IndexCache: Accelerating Sparse Attention via Cross-Layer Index Reuse por Bai, Yushi, Dong, Qian, Jiang, Ting, Lv, Xin, Du, Zhengxiao, Zeng, Aohan, Tang, Jie, Li, Juanzi

Tabla de Contenidos: “… and optimize this configuration. Training-free IndexCache applies a greedy search algorithm that selects which…”
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Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR por Błasiok, Jarosław, Lou, Paul, Rosen, Alon, Sudan, Madhu

Tabla de Contenidos: “… interpretation of the vertices of their graphs, the noisy XOR problem turns into the problem of decoding Reed…”
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Token-Budget-Aware Pool Routing for Cost-Efficient LLM Inference por Chen, Huamin, Liu, Xunzhuo, Jiang, Junchen, He, Bowei, Liu, Xue

Tabla de Contenidos: “… at 10,000 req/s shows \$15.4M/yr in savings. The algorithm adds O(1) dispatch overhead, self-calibrates…”
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Monolithic MoS 2 Strain‐Tunable Spectrometer for on‐Chip Hyperspectral Imaging por Qikun Li, Yong Wang, Wenqiang Lu, Qinglei Guo, Zewei Ren, Jianguang Lu, Chengming Jiang

Tabla de Contenidos: “… decoding mechanism, is presented. Leveraging the exceptional electromechanical coupling and strain‐tunable…”
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FMint: Bridging Human Designed and Data Pretrained Models for Differential Equation Foundation Model for Dynamical Simulation por Zezheng Song, Jiaxin Yuan, Haizhao Yang

Tabla de Contenidos: “… decoder‐only transformer architecture with in‐context learning, FMint utilizes both numerical and textual…”
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Reinnervation of Muscle Targets Enhances the Separability of Motor Unit Signals Following Peripheral Nerve Transfers por Kiara N Quinn, Siyu Wang, Lang Qin, Alessandro Ascani Orsini, Kenzi Griffith, Rachana Suresh, Fausto Kang, Pierce L Perkins, Neha Joshi, Alexis L Lowe, Sami Tuffaha, Nitish V Thakor

Tabla de Contenidos: “… to decode motor intention, which limits their ability to replicate natural limb movements. Decomposing EMG…”
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A clustering‐based user pairing scheme for downlink 3D non‐orthogonal multiple access‐based visible light communication systems por Tanuja Dogra, Manoranjan Rai Bharti

Tabla de Contenidos: “… in literature to implement NOMA effectively so as to reduce the decoding order of successive interference…”
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An Improved Power Allocation Scheme for Downlink NOMA‐Based MIMO Visible Light Communication Systems por Tanuja Dogra, Manoranjan Rai Bharti

Tabla de Contenidos: “… as on the user index in the decoding order. In the proposed power allocation scheme, multiple transmitting light…”
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ADT‐UNet: An Innovative Algorithm for Glioma Segmentation in MR Images por Liu Zhipeng, Wu Jiawei, Jing Ye, Xuefeng Bian, Wu Qiwei, Rui Li, Yinxing Zhu

Tabla de Contenidos: “…‐UNet, an innovative algorithm for segmenting glioma tumors in MR images. ADT‐UNet leveraged attention…”
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A Risk Stratification Study of Ultrasound Images of Thyroid Nodules Based on Improved DETR por Zhang Le, Yue Liang, Xiaokang Hu, Taorong Qiu, Pan Xu

Tabla de Contenidos: “… diagnosis system for thyroid nodule ultrasound images, and the existing algorithms for detecting…”
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Software Reliability Prediction by Adaptive Gated Recurrent Unit‐Based Encoder‐Decoder Model With Ensemble Empirical Mode Decomposition por Minghao Yang, Shunkun Yang, Chong Bian

Tabla de Contenidos: “… quality assessment. With the rapid development of machine learning and intelligent algorithms, data‐driven…”
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URRel : Joint Entity and Relation Extraction in Chinese Medical Texts via Unified Representation and Reinforcement Learning With Overlapping Relations por Zekai Xu, Jijun Tong, Yetao Tong, Shudong Xia, Qingli Zhou, Yuqiang Shen

Tabla de Contenidos: “… process and uses an Actor‐Critic RL algorithm to dynamically optimise the extraction strategy and reduce…”
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