Résultats de la recherche - decoding (Algorithmsssics OR (algorithm OR (algorithm OR algorithm)))

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

Table des matières: “… 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 par Evuru, Chandra Kiran Reddy, Ghosh, Sreyan, Kumar, Sonal, S, Ramaneswaran, Tyagi, Utkarsh, Manocha, Dinesh

Table des matières: “… 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 par Hu, Pignge, Zhang, Xiaoteng, Li, Mengmeng, Zhu, Yingjie, Shi, Li

Table des matières: “… 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 par Qu, Gang, Wang, Ping, Yuan, Xin

Table des matières: “… 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 par Ghadaksaz, MohammadMahdi, Mahmood, Mobeen, Le-Ngoc, Tho

Table des matières: “… 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 par Zhao, Siyan, Israel, Daniel, Broeck, Guy Van den, Grover, Aditya

Table des matières: “… 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 par Petrov, Ivo, Dimitrov, Dimitar I., Baader, Maximilian, Müller, Mark Niklas, Vechev, Martin

Table des matières: “…, 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 par 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

Table des matières: “… 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 par Xu, Jiahua, Zuo, Si, Wei, Chenfeng, Zhou, Wei

Table des matières: “… 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 par Qiao, Ziyue, Xiao, Junren, Sun, Qingqiang, Xiao, Meng, Luo, Xiao, Xiong, Hui

Table des matières: “… 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 par Menon, Vignesh V, Helmrich, Christian R., Wieckowski, Adam, Bross, Benjamin, Marpe, Detlev

Table des matières: “… 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 par Fang, Jiaqi, Liang, Yan, Sun, Gangle, Hou, Hongwei, Wang, Yafei, You, Li, Wang, Wenjin

Table des matières: “… 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 par He, Yuanyang, Huang, Zitong, Xu, Xinxing, Goh, Rick Siow Mong, Khan, Salman, Zuo, Wangmeng, Liu, Yong, Feng, Chun-Mei

Table des matières: “… 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 par Wu, Yuxuan, Wang, Ziyu, Raj, Bhiksha, Xia, Gus

Table des matières: “… 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 par Vallero, Marzio, Casagranda, Gioele, Vella, Flavio, Rech, Paolo

Table des matières: “… 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 par Khoshkhahtinat, Atefeh, Zafari, Ali, Mehta, Piyush M., Nasrabadi, Nasser M., Thompson, Barbara J., Kirk, Michael S. F., da Silva, Daniel

Table des matières: “… 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 par Zhou, Xiao, Meng, Chengzhen, Liu, Wenru, Peng, Zengqi, Liu, Ming, Ma, Jun

Table des matières: “… 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 par Edwards, Drew, Riley, Xavier, Sarmento, Pedro, Dixon, Simon

Table des matières: “… 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 par Li, Zhiwei, Long, Guodong, Zhou, Tianyi, Jiang, Jing, Zhang, Chengqi

Table des matières: “… 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 par Yue, Xinlang, Liu, Yiran, Shi, Fangzhou, Luo, Sihong, Zhong, Chen, Lu, Min, Xu, Zhe

Table des matières: “… solutions mainly follow a two-stage pattern that incorporate heuristic or learning-based algorithms…”
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