Search Results - decoding ((Algorithmsssicsics OR (algorithm OR algorithm)) OR (algorithm OR algorithm))

Dual-Scale Transformer for Large-Scale Single-Pixel Imaging by Qu, Gang, Wang, Ping, Yuan, Xin

Table of Contents: “… 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 by Ghadaksaz, MohammadMahdi, Mahmood, Mobeen, Le-Ngoc, Tho

Table of Contents: “… 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 by Zhao, Siyan, Israel, Daniel, Broeck, Guy Van den, Grover, Aditya

Table of Contents: “… 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 by Petrov, Ivo, Dimitrov, Dimitar I., Baader, Maximilian, Müller, Mark Niklas, Vechev, Martin

Table of Contents: “…, 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 by 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 of Contents: “… 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 by Xu, Jiahua, Zuo, Si, Wei, Chenfeng, Zhou, Wei

Table of Contents: “… 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 by Qiao, Ziyue, Xiao, Junren, Sun, Qingqiang, Xiao, Meng, Luo, Xiao, Xiong, Hui

Table of Contents: “… 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 by Menon, Vignesh V, Helmrich, Christian R., Wieckowski, Adam, Bross, Benjamin, Marpe, Detlev

Table of Contents: “… 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 by Fang, Jiaqi, Liang, Yan, Sun, Gangle, Hou, Hongwei, Wang, Yafei, You, Li, Wang, Wenjin

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

Table of Contents: “… 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 by Wu, Yuxuan, Wang, Ziyu, Raj, Bhiksha, Xia, Gus

Table of Contents: “… 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 by Vallero, Marzio, Casagranda, Gioele, Vella, Flavio, Rech, Paolo

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

Table of Contents: “… 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 by Zhou, Xiao, Meng, Chengzhen, Liu, Wenru, Peng, Zengqi, Liu, Ming, Ma, Jun

Table of Contents: “… 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 by Edwards, Drew, Riley, Xavier, Sarmento, Pedro, Dixon, Simon

Table of Contents: “… 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 by Li, Zhiwei, Long, Guodong, Zhou, Tianyi, Jiang, Jing, Zhang, Chengqi

Table of Contents: “… 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 by Yue, Xinlang, Liu, Yiran, Shi, Fangzhou, Luo, Sihong, Zhong, Chen, Lu, Min, Xu, Zhe

Table of Contents: “… solutions mainly follow a two-stage pattern that incorporate heuristic or learning-based algorithms…”
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SplatLoc: 3D Gaussian Splatting-based Visual Localization for Augmented Reality by Zhai, Hongjia, Zhang, Xiyu, Zhao, Boming, Li, Hai, He, Yijia, Cui, Zhaopeng, Bao, Hujun, Zhang, Guofeng

Table of Contents: “… estimation, we develop an unbiased 3D scene-specific descriptor decoder for Gaussian primitives, distilled…”
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Large Language Models can be Strong Self-Detoxifiers by Ko, Ching-Yun, Chen, Pin-Yu, Das, Payel, Mroueh, Youssef, Dan, Soham, Kollias, Georgios, Chaudhury, Subhajit, Pedapati, Tejaswini, Daniel, Luca

Table of Contents: “… lightweight controlled decoding algorithm for toxicity reduction of LLMs. SASA leverages the contextual…”
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Graph Network Surrogate Model for Optimizing the Placement of Horizontal Injection Wells for CO2 Storage by Tang, Haoyu, Durlofsky, Louis J.

Table of Contents: “… an encoding-processing-decoding framework where the problem is represented in terms of computational graphs…”
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