Risultati della ricerca - (endedededededededededededeDecoding OR (endedededededededededededeDecoding OR coding)) algorithm

Risk-Sensitive RL for Alleviating Exploration Dilemmas in Large Language Models di Jiang, Yuhua, Huang, Jiawei, Yuan, Yufeng, Mao, Xin, Yue, Yu, Zhao, Qianchuan, Yan, Lin

Sommario: “... dilemma: the sharply peaked initial policies of pre-trained LLMs confine standard RL algorithms to a...”
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ROSplane 2.0: A Fixed-Wing Autopilot for Research di Reid, Ian, Ritchie, Joseph, Moore, Jacob, Sutherland, Brandon, Snow, Gabe, Tokumaru, Phillip, McLain, Tim

Sommario: “...-level control, path planning, or estimation algorithms. A focus on lean, easily-understood code...”
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Quantization Range Estimation for Convolutional Neural Networks di Yang, Bingtao, Wang, Yujia, Jiao, Mengzhi, Huo, Hongwei

Sommario: “... convex and present an efficient search algorithm to find the optimal solution. We propose the application...”
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Quantum Computing Methods for Malware Detection di Krátká, Eliška, Gábris, Aurél Gábor

Sommario: “... of the Quantum Support Vector Machine (QSVM) algorithm compared to SVM. A publicly available dataset containing...”
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Quantum-Resistant Cryptographic Models for Next-Gen Cybersecurity di Chhibber, Navin, Rastogi, Amber, Mahida, Ankur, Gupta, Vatsal, Ranjan, Piyush

Sommario: “... algorithms, paying attention to lattice-based, code-based, multivariate polynomial and hash-based...”
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VERSUS: An excursion-set-inspired void-finder for the Stage-IV era di Findlay, Nathan, Nadathur, Seshadri

Sommario: “...We present VERSUS, a publicly available, fast void-finding algorithm designed to identify spherical...”
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Differentiable Optimization Layers for Guaranteed Fairness in Deep Learning di Troxell, David, Roemer, Noah, Montúfar, Guido

Sommario: “...-dual inference algorithm that provides provable aggregate fairness guarantees for streaming predictions...”
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Ada2MS: A Hybrid Optimization Algorithm Based on Exponential Mixing of Elementwise and Global Second-Moment Estimates di Zhu, Meng, Xiao, Quan, Min, Weidong

Sommario: “...Optimization algorithms are core methods by which machine learning models iteratively minimize loss...”
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Task-Induced Representational Invariances Depend on Learning Objective in Deep RL di Halvagal, Manu Srinath, Lee, Sebastian, Chung, SueYeon

Sommario: “... representations through the lens of MDP reduction theory. Investigating canonical RL algorithms in a navigation...”
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Improving the Estimation of Attenuation in Q/V Band Systems With a Kalman‐Based Scintillation Filter di Justin Cano, Julien Queyrel, Laurent Castanet, Michel Bousquet

Sommario: “... filter by Kalman‐colored algorithm (SciFi), which is used to remove tropospheric scintillation in Q/V...”
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A Software Interface for Machine Learning Model Applications di Konomos, Antonios, Chountasis, Spiros

Sommario: “... for the utilization of widely used Machine Learning (ML) algorithms in a unified Python/R programming environment. A...”
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Conditional Finite Mixtures of Poisson Distributions for Context-Dependent Neural Correlations di Sokoloski, Sacha, Coen-Cagli, Ruben

Sommario: “... correlations in neural populations. Theories of population coding have also shown that such correlations can...”
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From Dogwhistles to Bullhorns: Unveiling Coded Rhetoric with Language Models di Mendelsohn, Julia, Bras, Ronan Le, Choi, Yejin, Sap, Maarten

Sommario: “...Dogwhistles are coded expressions that simultaneously convey one meaning to a broad audience and a...”
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Self-Taught Optimizer (STOP): Recursively Self-Improving Code Generation di Zelikman, Eric, Lorch, Eliana, Mackey, Lester, Kalai, Adam Tauman

Sommario: “... algorithms, and simulated annealing. Since the language models themselves are not altered, this is not full...”
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Fast multiplication by two's complement addition of numbers represented as a set of polynomial radix 2 indexes, stored as an integer list for massively parallel computation di Stocks, Mark

Sommario: “... of algorithms implemented in python code. We demonstrate the method to be faster than both the Number Theoretic...”
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Accelerating Learnt Video Codecs with Gradient Decay and Layer-wise Distillation di Peng, Tianhao, Gao, Ge, Sun, Heming, Zhang, Fan, Bull, David

Sommario: “... with conventional coding algorithms in term of compression efficiency. However, most learning-based video...”
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N-QR: Natural Quick Response Codes for Multi-Robot Instance Correspondence di Glaser, Nathaniel Moore, Ravi, Rajashree, Kira, Zsolt

Sommario: “... Response codes, or N-QR, which enables rapid and reliable correspondence between large-scale teams...”
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Low-Complexity Block-Based Decoding Algorithms for Short Block Channels di Sy, Mody, Knopp, Raymond

Sommario: “...This paper presents low-complexity block-based encoding and decoding algorithms for short block...”
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Object Manipulation in Marine Environments using Reinforcement Learning di Nader, Ahmed, Din, Muhayy Ud, Irfan, Mughni, Hussain, Irfan

Sommario: “... reinforcement learning (DRL) based algorithm called Soft. Actor-Critic (SAC). SAC employs an actor-critic...”
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Blitzcrank: Fast Semantic Compression for In-memory Online Transaction Processing di Qiao, Yiming, Gao, Yihan, Zhang, Huanchen

Sommario: “... algorithm, called delayed coding, that achieves significant improvement in the decoding speed compared...”
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