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

Provably Secure Disambiguating Neural Linguistic Steganography por Qi, Yuang, Chen, Kejiang, Zeng, Kai, Zhang, Weiming, Yu, Nenghai

Tabla de Contenidos: “… ambiguity problem, which arises when using language models based on subwords, leads to occasional decoding…”
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CoDa: Constrained Generation based Data Augmentation for Low-Resource NLP por Evuru, Chandra Kiran Reddy, Ghosh, Sreyan, Kumar, Sonal, S, Ramaneswaran, Tyagi, Utkarsh, Manocha, Dinesh

Tabla de Contenidos: “… act as highly effective augmentations, and CoDa can achieve this without intricate decoding-time…”
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TSOM: Small Object Motion Detection Neural Network Inspired by Avian Visual Circuit por Hu, Pignge, Zhang, Xiaoteng, Li, Mengmeng, Zhu, Yingjie, Shi, Li

Tabla de Contenidos: “… to be done on small object motion detection algorithms based on the avian visual system. In this paper, we…”
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Dual-Scale Transformer for Large-Scale Single-Pixel Imaging por Qu, Gang, Wang, Ping, Yuan, Xin

Tabla de Contenidos: “… shrinkagethresholding algorithm (ISTA) into two alternative modules: efficient tensor gradient descent and hybrid…”
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UAV-Assisted Enhanced Coverage and Capacity in Dynamic MU-mMIMO IoT Systems: A Deep Reinforcement Learning Approach por Ghadaksaz, MohammadMahdi, Mahmood, Mobeen, Le-Ngoc, Tho

Tabla de Contenidos: “… by incorporating an unmanned aerial vehicle (UAV) as a decode-and-forward (DF) relay between the base station (BS…”
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Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Models por Zhao, Siyan, Israel, Daniel, Broeck, Guy Van den, Grover, Aditya

Tabla de Contenidos: “… input prompt lengths, prefilling will incur a significant overhead on decoding time. In this work, we…”
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DAGER: Exact Gradient Inversion for Large Language Models por Petrov, Ivo, Dimitrov, Dimitar I., Baader, Maximilian, Müller, Mark Niklas, Vechev, Martin

Tabla de Contenidos: “…, the first algorithm to recover whole batches of input text exactly. DAGER leverages the low-rank structure…”
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Offline Regularised Reinforcement Learning for Large Language Models Alignment por Richemond, Pierre Harvey, Tang, Yunhao, Guo, Daniel, Calandriello, Daniele, Azar, Mohammad Gheshlaghi, Rafailov, Rafael, Pires, Bernardo Avila, Tarassov, Eugene, Spangher, Lucas, Ellsworth, Will, Severyn, Aliaksei, Mallinson, Jonathan, Shani, Lior, Shamir, Gil, Joshi, Rishabh, Liu, Tianqi, Munos, Remi, Piot, Bilal

Tabla de Contenidos: “… algorithms that do not require pairwise preferences. DRO uses a simple mean-squared objective that can…”
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LiSD: An Efficient Multi-Task Learning Framework for LiDAR Segmentation and Detection por Xu, Jiahua, Zuo, Si, Wei, Chenfeng, Zhou, Wei

Tabla de Contenidos: “… remarkable performance gains in comparison to conventional algorithms. However, the segmentation…”
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Towards Continuous Reuse of Graph Models via Holistic Memory Diversification por Qiao, Ziyue, Xiao, Junren, Sun, Qingqiang, Xiao, Meng, Luo, Xiao, Xiong, Hui

Tabla de Contenidos: “… an efficient greedy algorithm for sampling representative training nodes from graphs into memory buffers after…”
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Convex-hull Estimation using XPSNR for Versatile Video Coding por Menon, Vignesh V, Helmrich, Christian R., Wieckowski, Adam, Bross, Benjamin, Marpe, Detlev

Tabla de Contenidos: “… by an encoding time reduction of 44.43% and a decoding time reduction of 65.46%. This shift towards XPSNR as a…”
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Polar-Coded Tensor-Based Unsourced Random Access with Soft Decoding por Fang, Jiaqi, Liang, Yan, Sun, Gangle, Hou, Hongwei, Wang, Yafei, You, Li, Wang, Wenjin

Tabla de Contenidos: “… numer of active devices. However, current TURA scheme lacks the soft decoder, thus precluding…”
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CPT: Consistent Proxy Tuning for Black-box Optimization por He, Yuanyang, Huang, Zitong, Xu, Xinxing, Goh, Rick Siow Mong, Khan, Salman, Zuo, Wangmeng, Liu, Yong, Feng, Chun-Mei

Tabla de Contenidos: “… only as a decoding-time algorithm, leading to an inconsistency between training and testing which…”
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Unsupervised Disentanglement of Content and Style via Variance-Invariance Constraints por Wu, Yuxuan, Wang, Ziyu, Raj, Bhiksha, Xia, Gus

Tabla de Contenidos: “… representations from sequences of observations. Unlike most disentanglement algorithms that rely on domain…”
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On the Efficacy of Surface Codes in Compensating for Radiation Events in Superconducting Devices por Vallero, Marzio, Casagranda, Gioele, Vella, Flavio, Rech, Paolo

Tabla de Contenidos: “… of technological advancements to the qubit's stability is saturating, algorithmic solutions, such as quantum error…”
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Neural-based Video Compression on Solar Dynamics Observatory Images por Khoshkhahtinat, Atefeh, Zafari, Ali, Mehta, Piyush M., Nasrabadi, Nasser M., Thompson, Barbara J., Kirk, Michael S. F., da Silva, Daniel

Tabla de Contenidos: “… of the entropy decoding step. The entropy model leverages a channel-dependent approach and utilizes checkerboard…”
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Integrated Intention Prediction and Decision-Making with Spectrum Attention Net and Proximal Policy Optimization por Zhou, Xiao, Meng, Chengzhen, Liu, Wenru, Peng, Zengqi, Liu, Ming, Ma, Jun

Tabla de Contenidos: “… as the predicted intentions are not decoded to trajectories in the executing process. Furthermore, the proximal…”
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MIDI-to-Tab: Guitar Tablature Inference via Masked Language Modeling por Edwards, Drew, Riley, Xavier, Sarmento, Pedro, Dixon, Simon

Tabla de Contenidos: “… learning solution to symbolic guitar tablature estimation. We train an encoder-decoder Transformer model…”
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Personalized Federated Collaborative Filtering: A Variational AutoEncoder Approach por Li, Zhiwei, Long, Guodong, Zhou, Tianyi, Jiang, Jing, Zhang, Chengqi

Tabla de Contenidos: “… distributed Collaborative Filtering (CF) algorithms with privacy-preserving mechanisms, and then preserve…”
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An End-to-End Reinforcement Learning Based Approach for Micro-View Order-Dispatching in Ride-Hailing por Yue, Xinlang, Liu, Yiran, Shi, Fangzhou, Luo, Sihong, Zhong, Chen, Lu, Min, Xu, Zhe

Tabla de Contenidos: “… solutions mainly follow a two-stage pattern that incorporate heuristic or learning-based algorithms…”
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