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

Guess-Verify-Refine: Data-Aware Top-K for Sparse-Attention Decoding on Blackwell via Temporal Correlation por Cheng, Long, Zhao, Ritchie, Liu, Timmy, Li, Mindy, Qiao, Xianjie, Duan, Kefeng, Chen, Yu-Jung, Chen, Xiaoming, Rouhani, Bita Darvish, Yang, June

Tabla de Contenidos: “…Sparse-attention decoders rely on exact Top-K selection to choose the most important key-value…”
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VeriCache: Turning Lossy KV Cache into Lossless LLM Inference por Yao, Jiayi, Shen, Samuel, Du, Kuntai, Feng, Shaoting, Seo, Dongjoo, Zhang, Rui, Huang, Yuyang, Liu, Yuhan, Lu, Shan, Jiang, Junchen

Tabla de Contenidos: “… the high decoding throughput of a range of KV cache compression algorithms. VeriCache uses the compressed…”
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Implementation and Optimization of HQC Decoding on NPU-Integrated Devices por Chau, Vu Minh, Kiet, Nguyen Ngoc, Minh, Pham Quang, Ngoc, Mai Xuan, Anh, Nguyen Duc, Ta, Hoang

Tabla de Contenidos: “…-based key-encapsulation mechanism, providing algorithmic diversity alongside lattice-based post-quantum…”
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FBCNet: A Multi-view Convolutional Neural Network for Brain-Computer Interface por Mane, Ravikiran, Chew, Effie, Chua, Karen, Ang, Kai Keng, Robinson, Neethu, Vinod, A. P., Lee, Seong-Whan, Guan, Cuntai

Tabla de Contenidos: “… by Motor Imagery (MI) decoding algorithms for electroencephalogram (EEG) based Brain-Computer Interface…”
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TOFU: Towards Obfuscated Federated Updates by Encoding Weight Updates into Gradients from Proxy Data por Garg, Isha, Nagaraj, Manish, Roy, Kaushik

Tabla de Contenidos: “… and privacy, we propose TOFU, a novel algorithm which generates proxy data that encodes the weight updates…”
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Best Arm Identification Based Beam Acquisition in Stationary and Abruptly Changing Environments por Ghatak, Gourab

Tabla de Contenidos: “… propose a novel algorithm called concurrent beam exploration, CBE, in which multiple beams are grouped…”
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Masked Transformer for Electrocardiogram Classification por Zhou, Ya, Diao, Xiaolin, Huo, Yanni, Liu, Yang, Fan, Xiaohan, Zhao, Wei

Tabla de Contenidos: “…. With the advent of advanced algorithms, various deep learning models have been adopted for ECG tasks. However…”
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Q-Segment: Segmenting Images In-Sensor for Vessel-Based Medical Diagnosis por Bonazzi, Pietro, Li, Yawei, Bian, Sizhen, Magno, Michele

Tabla de Contenidos: “… present "Q-Segment", a quantized real-time segmentation algorithm, and conduct a comprehensive evaluation…”
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JAMDEC: Unsupervised Authorship Obfuscation using Constrained Decoding over Small Language Models por Fisher, Jillian, Lu, Ximing, Jung, Jaehun, Jiang, Liwei, Harchaoui, Zaid, Choi, Yejin

Tabla de Contenidos: “…, a user-controlled, inference-time algorithm for authorship obfuscation that can be in principle…”
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Demystifying the Physics of Deep Reinforcement Learning-Based Autonomous Vehicle Decision-Making por Wan, Hanxi, Li, Pei, Kusari, Arpan

Tabla de Contenidos: “… in AVs. Therefore, in this research work, we try to decode the knowledge learnt by the attention-based…”
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LLMServingSim: A HW/SW Co-Simulation Infrastructure for LLM Inference Serving at Scale por Cho, Jaehong, Kim, Minsu, Choi, Hyunmin, Heo, Guseul, Park, Jongse

Tabla de Contenidos: “… (LLM) inference serving systems. These efforts not only include innovations in the algorithm…”
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A Deep Generative Learning Approach for Two-stage Adaptive Robust Optimization por Brenner, Aron, Khorramfar, Rahman, Sun, Jennifer, Amin, Saurabh

Tabla de Contenidos: “…. In this work, we introduce AGRO, a solution algorithm that performs adversarial generation for two-stage…”
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MixNet: Joining Force of Classical and Modern Approaches Toward the Comprehensive Pipeline in Motor Imagery EEG Classification por Autthasan, Phairot, Chaisaen, Rattanaphon, Phan, Huy, De Vos, Maarten, Wilaiprasitporn, Theerawit

Tabla de Contenidos: “…-computer interface (BCI) systems, enhancing the decoding of electroencephalography (EEG) signals. However…”
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Hardware Acceleration of Kolmogorov-Arnold Network (KAN) for Lightweight Edge Inference por Huang, Wei-Hsing, Jia, Jianwei, Kong, Yuyao, Waqar, Faaiq, Wen, Tai-Hao, Chang, Meng-Fan, Yu, Shimeng

Tabla de Contenidos: “…, MUXs, decoders, etc.). For the first time, this paper employs an algorithm-hardware co-design…”
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A Generative Framework for Predictive Modeling of Multiple Chronic Conditions Using Graph Variational Autoencoder and Bandit-Optimized Graph Neural Network por Rico, Julian Carvajal, Alaeddini, Adel, Faruqui, Syed Hasib Akhter, Fisher-Hoch, Susan P, Mccormick, Joseph B

Tabla de Contenidos: “… decoder, are then processed by a GNN using a novel Laplacian regularization technique to refine the graph…”
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Deep Transfer Learning-based Detection for Flash Memory Channels por Mei, Zhen, Cai, Kui, Shi, Long, Li, Jun, Chen, Li, Immink, Kees A. Schouhamer

Tabla de Contenidos: “…) algorithm for flash memory channel detection. It can effectively reduce the training data size from $10^6…”
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AADNet: An End-to-End Deep Learning Model for Auditory Attention Decoding por Nguyen, Nhan Duc Thanh, Phan, Huy, Geirnaert, Simon, Mikkelsen, Kaare, Kidmose, Preben

Tabla de Contenidos: “…Auditory attention decoding (AAD) is the process of identifying the attended speech in a multi…”
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Towards Flexible 3D Perception: Object-Centric Occupancy Completion Augments 3D Object Detection por Zheng, Chaoda, Wang, Feng, Wang, Naiyan, Cui, Shuguang, Li, Zhen

Tabla de Contenidos: “…-centric occupancy perception from both data and algorithm perspectives. On the data side, we construct…”
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Optimum Power Allocation for Low Rank Wi-Fi Channels: A Comparison with Deep RL Framework por Mohsin, Muhammad Ahmed, Bhattacharya, Sagnik, Rajabalifardi, Kamyar, Pote, Rohan, Cioffi, John M.

Tabla de Contenidos: “… algorithm for multi-carrier NOMA, named minPMAC, and an associated time-sharing algorithm that adaptively…”
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Upside Down Reinforcement Learning with Policy Generators por Di Ventura, Jacopo, Ashley, Dylan R., Herrmann, Vincent, Faccio, Francesco, Schmidhuber, Jürgen

Tabla de Contenidos: “… this using Hypernetworks - a variant of Fast Weight Programmers, which learn to decode input commands…”
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