Risultati della ricerca - decoding (algorithm OR (algorithmssic OR Algorithmsssssic))

Decoding rank metric Reed-Muller codes di Couvreur, Alain, Pratihar, Rakhi

Sommario: “...In this article, we investigate the decoding of the rank metric Reed--Muller codes introduced...”
Testo

Recursive Subproduct Codes with Reed-Muller-like Structure di Siddheshwar, Aditya, Natarajan, Lakshmi Prasad, Krishnan, Prasad

Sommario: “... belief propagation decoder and a local graph search algorithm, show instances of subproduct codes...”
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Deep Joint Source-Channel Coding for Efficient and Reliable Cross-Technology Communication di Yao, Shumin, Xu, Xiaodong, Chen, Hao, Sun, Yaping, Zhao, Qinglin

Sommario: “... existing CTC coding algorithms as domain knowledge to guide the encoder-decoder pair to learn...”
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CodecNeRF: Toward Fast Encoding and Decoding, Compact, and High-quality Novel-view Synthesis di Kang, Gyeongjin, Lee, Younggeun, Oh, Seungjun, Park, Eunbyung

Sommario: “..., such as images and videos, we need to fulfill three key objectives: 1. fast encoding and decoding time, 2...”
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DOPRA: Decoding Over-accumulation Penalization and Re-allocation in Specific Weighting Layer di Wei, Jinfeng, Zhang, Xiaofeng

Sommario: “... hallucinations by decoding specific weighted layer penalties and redistribution, offering an economical...”
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Continuous Speculative Decoding for Autoregressive Image Generation di Wang, Zili, Zhang, Robert, Ding, Kun, Yang, Qi, Li, Fei, Xiang, Shiming

Sommario: “... Language Models (LLMs), speculative decoding has effectively accelerated discrete autoregressive inference...”
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PLD+: Accelerating LLM inference by leveraging Language Model Artifacts di Somasundaram, Shwetha, Phukan, Anirudh, Saxena, Apoorv

Sommario: “...To reduce the latency associated with autoretrogressive LLM inference, speculative decoding has...”
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SPIN: Accelerating Large Language Model Inference with Heterogeneous Speculative Models di Chen, Fahao, Li, Peng, Luan, Tom H., Su, Zhou, Deng, Jing

Sommario: “...Speculative decoding has been shown as an effective way to accelerate Large Language Model (LLM...”
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CLaSp: In-Context Layer Skip for Self-Speculative Decoding di Chen, Longze, Shan, Renke, Wang, Huiming, Wang, Lu, Liu, Ziqiang, Luo, Run, Wang, Jiawei, Alinejad-Rokny, Hamid, Yang, Min

Sommario: “...Speculative decoding (SD) is a promising method for accelerating the decoding process of Large...”
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Radiation-Induced Fault Detection in Superconducting Quantum Devices di Vallero, Marzio, Casagranda, Gioele, Vella, Flavio, Rech, Paolo

Sommario: “... propose the first algorithm to effectively exploit syndrome information for the efficient detection...”
Testo

Federated Learning in Offline and Online EMG Decoding: A Privacy and Performance Perspective di Malcolm, Kai, Uribe, César, Yamagami, Momona

Sommario: “... neural decoding using high-dimensional electromyography (EMG) across both offline simulations and a real...”
Testo

Efficient Decoding Methods for Language Models on Encrypted Data di Avitan, Matan, Baruch, Moran, Drucker, Nir, Zimerman, Itamar, Goldberg, Yoav

Sommario: “... for secure inference. However, neural text generation requires decoding methods like argmax and sampling...”
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SpecAttn: Speculating Sparse Attention di Shah, Harsh

Sommario: “... SpecAttn, a novel training-free approach that seamlessly integrates with existing speculative decoding...”
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Conserved Kinematic Representations enable Zero-Shot Decoding in Handwriting BCIs di Ravishankar, Srinivas, de Sa, Virginia

Sommario: “... machine learning algorithm for decoding unseen characters. Our model achieves 64% hits@3 retrieval...”
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Joint Coordinate Regression and Association For Multi-Person Pose Estimation, A Pure Neural Network Approach di Yu, Dongyang, Xie, Yunshi, An, Wangpeng, Zhang, Li, Yao, Yufeng

Sommario: “...We introduce a novel one-stage end-to-end multi-person 2D pose estimation algorithm, known as Joint...”
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InversionView: A General-Purpose Method for Reading Information from Neural Activations di Huang, Xinting, Panwar, Madhur, Goyal, Navin, Hahn, Michael

Sommario: “... to practically inspect this subset by sampling from a trained decoder model conditioned on activations...”
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Soft Partitioning of Latent Space for Semantic Channel Equalization di Hüttebräucker, Tomás, Sana, Mohamed, Strinati, Emilio Calvanese

Sommario: “... semantic communications. This approach aims to align the latent spaces of an encoder and a decoder which...”
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Breaking the Attention Bottleneck di Hilsenbek, Kalle

Sommario: “... in the transformer architecture. This algorithm is only uni-directional in the decoder and converges to a static...”
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Tree Attention: Topology-aware Decoding for Long-Context Attention on GPU clusters di Shyam, Vasudev, Pilault, Jonathan, Shepperd, Emily, Anthony, Quentin, Millidge, Beren

Sommario: “... in parallel through a tree reduction. Our algorithm, called Tree Attention, for parallelizing exact attention...”
Testo

Lightweight Transducer Based on Frame-Level Criterion di Wan, Genshun, Wang, Mengzhi, Mao, Tingzhi, Chen, Hang, Ye, Zhongfu

Sommario: “... criterion, which uses the results of the CTC forced alignment algorithm to determine the label for each...”
Testo