Resultados de búsqueda - (endedededededededededededededededededededededecoding OR decoding) (algorithmics OR algorithm)

Adapting to Covariate Shift in Real-time by Encoding Trees with Motion Equations por Foong, Tham Yik, Zhang, Heng, Yuan, Mao Po, Vargas, Danilo Vasconcellos

Tabla de Contenidos: “… Xenovert, an adaptive algorithm that can dynamically adapt to changes in input distribution. It is a…”
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Exploring and Improving Drafts in Blockwise Parallel Decoding por Kim, Taehyeon, Suresh, Ananda Theertha, Papineni, Kishore, Riley, Michael, Kumar, Sanjiv, Benton, Adrian

Tabla de Contenidos: “… hampered by the slow inference speeds inherent in sequential token generation. Blockwise parallel decoding…”
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TK-Planes: Tiered K-Planes with High Dimensional Feature Vectors for Dynamic UAV-based Scenes por Maxey, Christopher, Choi, Jaehoon, Lee, Yonghan, Lee, Hyungtae, Manocha, Dinesh, Kwon, Heesung

Tabla de Contenidos: “… Field (NeRF), wherein our algorithm stores a set of tiered feature vectors. The tiered feature vectors…”
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Directly Training Temporal Spiking Neural Network with Sparse Surrogate Gradient por Li, Yang, Zhao, Feifei, Zhao, Dongcheng, Zeng, Yi

Tabla de Contenidos: “… direct training of SNNs for various applications. The surrogate gradient (SG) algorithm has recently…”
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Open-Source Conversational AI with SpeechBrain 1.0 por Ravanelli, Mirco, Parcollet, Titouan, Moumen, Adel, de Langen, Sylvain, Subakan, Cem, Plantinga, Peter, Wang, Yingzhi, Mousavi, Pooneh, Della Libera, Luca, Ploujnikov, Artem, Paissan, Francesco, Borra, Davide, Zaiem, Salah, Zhao, Zeyu, Zhang, Shucong, Karakasidis, Georgios, Yeh, Sung-Lin, Champion, Pierre, Rouhe, Aku, Braun, Rudolf, Mai, Florian, Zuluaga-Gomez, Juan, Mousavi, Seyed Mahed, Nautsch, Andreas, Nguyen, Ha, Liu, Xuechen, Sagar, Sangeet, Duret, Jarod, Mdhaffar, Salima, Laperriere, Gaelle, Rouvier, Mickael, De Mori, Renato, Esteve, Yannick

Tabla de Contenidos: “… models and the complete "recipes" of code and algorithms required for training them. This paper presents…”
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Menichetti's nonassociative $G$-crossed product algebras and Menichetti codes por Pumpluen, Susanne

Tabla de Contenidos: “… of algebra they display symmetric and cyclic properties which promise efficient decoding algorithms. Well…”
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Joint Beam Scheduling and Resource Allocation for Flexible RSMA-aided Near-Field Communications por Zhou, Jiasi, Zhou, Cong, Mao, Yijie, Tellambura, Chintha

Tabla de Contenidos: “… is proposed to efficiently manage interference, which carefully selects a subset of legacy users to decode…”
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Numerical Pruning for Efficient Autoregressive Models por Shen, Xuan, Song, Zhao, Zhou, Yufa, Chen, Bo, Liu, Jing, Zhang, Ruiyi, Rossi, Ryan A., Tan, Hao, Yu, Tong, Chen, Xiang, Zhou, Yufan, Sun, Tong, Zhao, Pu, Wang, Yanzhi, Gu, Jiuxiang

Tabla de Contenidos: “… on compressing decoder-only transformer-based autoregressive models through structural weight pruning to improve…”
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NeuroIncept Decoder for High-Fidelity Speech Reconstruction from Neural Activity por Khanday, Owais Mujtaba, Pérez-Córdoba, José L., Mir, Mohd Yaqub, Najar, Ashfaq Ahmad, Gonzalez-Lopez, Jose A.

Tabla de Contenidos: “…This paper introduces a novel algorithm designed for speech synthesis from neural activity…”
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EEG-ReMinD: Enhancing Neurodegenerative EEG Decoding through Self-Supervised State Reconstruction-Primed Riemannian Dynamics por Wang, Zirui, Song, Zhenxi, Guo, Yi, Liu, Yuxin, Xu, Guoyang, Zhang, Min, Zhang, Zhiguo

Tabla de Contenidos: “…The development of EEG decoding algorithms confronts challenges such as data sparsity, subject…”
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Speculative Decoding and Beyond: An In-Depth Survey of Techniques por Hu, Yunhai, Liu, Zining, Dong, Zhenyuan, Peng, Tianfan, McDanel, Bradley, Zhang, Sai Qian

Tabla de Contenidos: “… algorithmic innovations and system-level implementations, we examine deployment strategies across computing…”
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On Designing Novel ISI-Reducing Single Error Correcting Codes in an MCvD System por Nath, Tamoghno, Benerjee, Krishna Gopal, Banerjee, Adrish

Tabla de Contenidos: “… with channel memory and noise. We have also provided encoding and decoding algorithms for the proposed codes…”
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Neural Parametric Mixtures for Path Guiding por Dong, Honghao, Wang, Guoping, Li, Sheng

Tabla de Contenidos: “… to encode target distributions for path guiding algorithms. We propose to use a continuous and compact…”
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Why and How LLMs Hallucinate: Connecting the Dots with Subsequence Associations por Sun, Yiyou, Gai, Yu, Chen, Lijie, Ravichander, Abhilasha, Choi, Yejin, Song, Dawn

Tabla de Contenidos: “… faithful ones. Through theoretical and empirical analyses, we demonstrate that decoder-only transformers…”
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Explicit Lossless Vertex Expanders por Hsieh, Jun-Ting, Lubotzky, Alexander, Mohanty, Sidhanth, Reiner, Assaf, Zhang, Rachel Yun

Tabla de Contenidos: “… codes of Lin and M. Hsieh with a linear time decoding algorithm. Our construction is based on taking…”
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Hybrid NOMA Assisted Heterogeneous Semantic and Bit Users Communication por Ahmed, Ishtiaque, Musavian, Leila

Tabla de Contenidos: “… decoding order in slots including heterogeneous users. An optimization problem for the power allocation…”
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Knowledge-Guided Attention-Inspired Learning for Task Offloading in Vehicle Edge Computing por Ma, Ke, Xie, Junfei

Tabla de Contenidos: “… moving vehicles to nearby RSUs. KATO integrates an attention-inspired encoder-decoder model for selecting…”
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On the Ding and Helleseth's 8th open problem about optimal ternary cyclic codes por He, Dong, Zheng, Peipei, Liao, Qunying

Tabla de Contenidos: “… storage systems and communication systems due to the efficient encoding and decoding algorithms. In 2013…”
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Tady: A Neural Disassembler without Structural Constraint Violations por Qin, Siliang, Yang, Fengrui, Wang, Hao, Zhang, Bolun, Gao, Zeyu, Zhang, Chao, Chen, Kai

Tabla de Contenidos: “… and instruction-level decoding that neglect global structural integrity. We introduce Tady, a novel neural…”
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Diffusion Generative Models Meet Compressed Sensing, with Applications to Imaging and Finance por Guo, Zhengyi, Li, Jiatu, Tang, Wenpin, Yao, David D.

Tabla de Contenidos: “… diffusion model in the latent space; next, apply a compressed sensing algorithm to the samples generated…”
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