Search Results - decoding (algorithm OR Algorithmssics)

Spark Transformer: Reactivating Sparsity in FFN and Attention by 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

Table of Contents: “… introduce statistical top-k, a hardware-accelerator-friendly, linear-time approximate algorithm that avoids…”
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Machine Learning for Quantum Noise Reduction by Kendre, Karan

Table of Contents: “… 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 by Zhu, Yuxuan, Yang, David H., Amiri, Mohammad Mohammadi, Murugesan, Keerthiram, Pedapati, Tejaswini, Chen, Pin-Yu

Table of Contents: “… 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 by Zhou, Qihui, Yin, Peiqi, Zuo, Pengfei, Cheng, James

Table of Contents: “… 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 by Li, Yunli, Shi, Xiaoming, Shao, Xiaodan, Xu, Jie, Zhang, Rui

Table of Contents: “…-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 by Ye, Boshuai, Khan, Arif Ali, Pihkakoski, Teemu, Liang, Peng, Akbar, Muhammad Azeem, Silveri, Matti, Malmi, Lauri

Table of Contents: “…, 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 by He, Zifan, Ye, Shengyu, Ma, Rui, Wang, Yang, Cong, Jason

Table of Contents: “… 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 by Huang, Yushi, Wang, Zining, Yuan, Zhihang, Ding, Yifu, Gong, Ruihao, Guo, Jinyang, Liu, Xianglong, Zhang, Jun

Table of Contents: “… 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 by Bai, Yushi, Dong, Qian, Jiang, Ting, Lv, Xin, Du, Zhengxiao, Zeng, Aohan, Tang, Jie, Li, Juanzi

Table of Contents: “… 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 by Błasiok, Jarosław, Lou, Paul, Rosen, Alon, Sudan, Madhu

Table of Contents: “… 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 by Chen, Huamin, Liu, Xunzhuo, Jiang, Junchen, He, Bowei, Liu, Xue

Table of Contents: “… 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 by Qikun Li, Yong Wang, Wenqiang Lu, Qinglei Guo, Zewei Ren, Jianguang Lu, Chengming Jiang

Table of Contents: “… 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 by Zezheng Song, Jiaxin Yuan, Haizhao Yang

Table of Contents: “… 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 by 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

Table of Contents: “… 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 by Tanuja Dogra, Manoranjan Rai Bharti

Table of Contents: “… 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 by Tanuja Dogra, Manoranjan Rai Bharti

Table of Contents: “… 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 by Liu Zhipeng, Wu Jiawei, Jing Ye, Xuefeng Bian, Wu Qiwei, Rui Li, Yinxing Zhu

Table of Contents: “…‐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 by Zhang Le, Yue Liang, Xiaokang Hu, Taorong Qiu, Pan Xu

Table of Contents: “… 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 by Minghao Yang, Shunkun Yang, Chong Bian

Table of Contents: “… 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 by Zekai Xu, Jijun Tong, Yetao Tong, Shudong Xia, Qingli Zhou, Yuqiang Shen

Table of Contents: “… process and uses an Actor‐Critic RL algorithm to dynamically optimise the extraction strategy and reduce…”
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