Risultati della ricerca - decoding (Algorithmssicssics OR (algorithm OR (algorithm OR algorithm)))

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

Sommario: “...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 di Yao, Jiayi, Shen, Samuel, Du, Kuntai, Feng, Shaoting, Seo, Dongjoo, Zhang, Rui, Huang, Yuyang, Liu, Yuhan, Lu, Shan, Jiang, Junchen

Sommario: “... 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 di Chau, Vu Minh, Kiet, Nguyen Ngoc, Minh, Pham Quang, Ngoc, Mai Xuan, Anh, Nguyen Duc, Ta, Hoang

Sommario: “...-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 di Mane, Ravikiran, Chew, Effie, Chua, Karen, Ang, Kai Keng, Robinson, Neethu, Vinod, A. P., Lee, Seong-Whan, Guan, Cuntai

Sommario: “... 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 di Garg, Isha, Nagaraj, Manish, Roy, Kaushik

Sommario: “... 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 di Ghatak, Gourab

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

Sommario: “.... 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 di Bonazzi, Pietro, Li, Yawei, Bian, Sizhen, Magno, Michele

Sommario: “... 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 di Fisher, Jillian, Lu, Ximing, Jung, Jaehun, Jiang, Liwei, Harchaoui, Zaid, Choi, Yejin

Sommario: “..., 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 di Wan, Hanxi, Li, Pei, Kusari, Arpan

Sommario: “... 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 di Cho, Jaehong, Kim, Minsu, Choi, Hyunmin, Heo, Guseul, Park, Jongse

Sommario: “... (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 di Brenner, Aron, Khorramfar, Rahman, Sun, Jennifer, Amin, Saurabh

Sommario: “.... 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 di Autthasan, Phairot, Chaisaen, Rattanaphon, Phan, Huy, De Vos, Maarten, Wilaiprasitporn, Theerawit

Sommario: “...-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 di Huang, Wei-Hsing, Jia, Jianwei, Kong, Yuyao, Waqar, Faaiq, Wen, Tai-Hao, Chang, Meng-Fan, Yu, Shimeng

Sommario: “..., 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 di Rico, Julian Carvajal, Alaeddini, Adel, Faruqui, Syed Hasib Akhter, Fisher-Hoch, Susan P, Mccormick, Joseph B

Sommario: “... 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 di Mei, Zhen, Cai, Kui, Shi, Long, Li, Jun, Chen, Li, Immink, Kees A. Schouhamer

Sommario: “...) 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 di Nguyen, Nhan Duc Thanh, Phan, Huy, Geirnaert, Simon, Mikkelsen, Kaare, Kidmose, Preben

Sommario: “...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 di Zheng, Chaoda, Wang, Feng, Wang, Naiyan, Cui, Shuguang, Li, Zhen

Sommario: “...-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 di Mohsin, Muhammad Ahmed, Bhattacharya, Sagnik, Rajabalifardi, Kamyar, Pote, Rohan, Cioffi, John M.

Sommario: “... 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 di Di Ventura, Jacopo, Ashley, Dylan R., Herrmann, Vincent, Faccio, Francesco, Schmidhuber, Jürgen

Sommario: “... this using Hypernetworks - a variant of Fast Weight Programmers, which learn to decode input commands...”
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