Suchergebnisse - decoding (algorithm OR (Algorithmsssic OR (Algorithmsssic OR Algorithmsssic)))

Reduced bit median quantization: A middle process for Efficient Image Compression von Abebayew, Fikresilase Wondmeneh

Inhaltsangabe: “… the former problem by applying one specific or a combination of different algorithms. However, none …”
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Game of Coding: Sybil Resistant Decentralized Machine Learning with Minimal Trust Assumption von Nodehi, Hanzaleh Akbari, Cadambe, Viveck R., Maddah-Ali, Mohammad Ali

Inhaltsangabe: “… their rewards (utility) by ensuring that the decoder, as the data collector (DC), successfully recovers the data …”
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Nudging: Inference-time Alignment of LLMs via Guided Decoding von Fei, Yu, Razeghi, Yasaman, Singh, Sameer

Inhaltsangabe: “… computational overhead. In this work, we propose NUDGING, a simple, training-free algorithm that aligns any base …”
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DARE the Extreme: Revisiting Delta-Parameter Pruning For Fine-Tuned Models von Deng, Wenlong, Zhao, Yize, Vakilian, Vala, Chen, Minghui, Li, Xiaoxiao, Thrampoulidis, Christos

Inhaltsangabe: “… introduce DAREx (DARE the eXtreme), which features two algorithmic improvements: (1) DAREx-q, a rescaling …”
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Pyramid Vector Quantization for LLMs von van der Ouderaa, Tycho F. A., Croci, Maximilian L., Hilmkil, Agrin, Hensman, James

Inhaltsangabe: “… by projecting points onto the 1-sphere, which allows for efficient encoding and decoding without requiring …”
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AGSENet: A Robust Road Ponding Detection Method for Proactive Traffic Safety von Zhang, Ronghui, Yang, Shangyu, Lyu, Dakang, Wang, Zihan, Chen, Junzhou, Ren, Yilong, Gao, Bolin, Lv, Zhihan

Inhaltsangabe: “… by fusing spatial and channel information. The SSIE module, embedded in the decoder, refines edge features …”
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A scalable generative model for dynamical system reconstruction from neuroimaging data von Volkmann, Eric, Brändle, Alena, Durstewitz, Daniel, Koppe, Georgia

Inhaltsangabe: “… of signals render the SSM's decoder model non-invertible, a requirement for previous TF-based methods. Here …”
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PGSO: Prompt-based Generative Sequence Optimization Network for Aspect-based Sentiment Analysis von Dong, Hao, Wei, Wei

Inhaltsangabe: “… to paraphrase training targets for enhanced decoding, ignoring the internal optimizations on generative models …”
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Enhancing Large-scale UAV Route Planing with Global and Local Features via Reinforcement Graph Fusion von Zhou, Tao, Ye, Kai, Shi, Zeyu, Lin, Jiajing, Xu, Dejun, Jiang, Min

Inhaltsangabe: “… by graph fusion. Finally, we implement a decoding strategy customizable to the user's requirements …”
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Mask-RadarNet: Enhancing Transformer With Spatial-Temporal Semantic Context for Radar Object Detection in Autonomous Driving von Wu, Yuzhi, Liu, Jun, Jiang, Guangfeng, Liu, Weijian, Orlando, Danilo

Inhaltsangabe: “… decoder is added to our model to aggregate prior maps generated from the CMAM. Experiments on the CRUW …”
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Interoceptive Robots for Convergent Shared Control in Collaborative Construction Work von Zhou, Xiaoshan, Menassa, Carol C., Kamat, Vineet R.

Inhaltsangabe: “… by integrating the legacy of heuristic costs from grid/graph-based algorithms with recent advances …”
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High Efficiency Wiener Filter-based Point Cloud Quality Enhancement for MPEG G-PCC von Wei, Yuxuan, Wang, Zehan, Guo, Tian, Liu, Hao, Shen, Liquan, Yuan, Hui

Inhaltsangabe: “… be integrated into the encoder and decoder pipeline of G-PCC to improve the reconstruction quality as well …”
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Enhancing LLM-based Quantum Code Generation with Multi-Agent Optimization and Quantum Error Correction von Campbell, Charlie, Chen, Hao Mark, Luk, Wayne, Fan, Hongxiang

Inhaltsangabe: “… analyzer with multi-pass inference, alongside an error correction code decoder. We also examine …”
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SparseMeXT Unlocking the Potential of Sparse Representations for HD Map Construction von Jiang, Anqing, Chai, Jinhao, Gao, Yu, Wang, Yiru, Heng, Yuwen, Sun, Zhigang, Sun, Hao, Zhao, Zezhong, Sun, Li, Zhou, Jian, Zhu, Lijuan, Xu, Shugong, Zhao, Hao

Inhaltsangabe: “… and algorithmic improvements that bridge the gap with--and ultimately surpass--dense approaches. We introduce a …”
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VLA-RL: Towards Masterful and General Robotic Manipulation with Scalable Reinforcement Learning von Lu, Guanxing, Guo, Wenkai, Zhang, Chubin, Zhou, Yuheng, Jiang, Haonan, Gao, Zifeng, Tang, Yansong, Wang, Ziwei

Inhaltsangabe: “… this limitation. We present VLA-RL, an algorithmic and systematic framework that leverages online reinforcement …”
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MoESD: Unveil Speculative Decoding's Potential for Accelerating Sparse MoE von Huang, Zongle, Zhu, Lei, Zhan, Zongyuan, Hu, Ting, Mao, Weikai, Yu, Xianzhi, Liu, Yongpan, Zhang, Tianyu

Inhaltsangabe: “… achieve better performance with less computation. Speculative decoding (SD) is a widely used technique …”
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Design Automation in Quantum Error Correction von Ghosh, Archisman, Chatterjee, Avimita, Ghosh, Swaroop

Inhaltsangabe: “… algorithmic $T$-gate optimization, modified surface code architecture to incorporate lesser qubit overhead …”
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Exploiting scattering-based point spread functions for snapshot 5D and modality-switchable lensless imaging von Zheng, Ze, Liu, Baolei, Song, Jiaqi, Zhu, Muchen, Wang, Yao, Tian, Menghan, Xiong, Ying, Yang, Zhaohua, Zhong, Xiaolan, McGloin, David, Wang, Fan

Inhaltsangabe: “… diffuser, and subsequently decoded using a compressed sensing algorithm at the sampling rate of 2.5 …”
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EC2MoE: Adaptive End-Cloud Pipeline Collaboration Enabling Scalable Mixture-of-Experts Inference von Yang, Zheming, Hu, Yunqing, Sun, Sheng, Ji, Wen

Inhaltsangabe: “… to accelerate MoE inference. This includes an encoder-decoder structure based on low-rank compression, which …”
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P/D-Device: Disaggregated Large Language Model between Cloud and Devices von Jin, Yibo, Xu, Yixu, Chen, Yue, Wang, Chengbin, Wang, Tao, Huang, Jiaqi, Zhang, Rongfei, Dong, Yiming, Yan, Yuting, Cheng, Ke, Zhu, Yingjie, Wang, Shulan, Tang, Qianqian, Meng, Shuaishuai, Cheng, Guanxin, Wang, Ze, Miao, Shuyan, Wang, Ketao, Liu, Wen, Yang, Yifan, Zhang, Tong, Wang, Anran, Lu, Chengzhou, Dong, Tiantian, Zhang, Yongsheng, Wang, Zhe, Guo, Hefei, Liu, Hongjie, Lu, Wei, Zhang, Zhengyong

Inhaltsangabe: “… for enhanced performance. However, too many tokens generated in decoding phase, i.e., occupying the resources …”
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