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Inductive Bias And The Information Bottleneck Method

, 2021
Induktiv bias referer til forskjellige arkitekturvalg som gjøres når man designer modeller for dyp læring. Spesielt så handler det om hvilke antakelser som gjøres om inngangsdataen, noe som i sin tur påvirker arkitekturvalget. Eksempler på forskjellige nevrale arkitekturer er konvolusjonale nevrale nett for bildedata, grafkonvolusjonale nevrale nett ...
openaire   +1 more source

Error Self-calibration Method in Spatial Spectrum Estimation

Leida xuebao, 2014
An important bottleneck in spatial spectrum estimation theory is array errors. A new error self-calibration method is presented on the basis of active error calibration and online self-calibration theories.
Huang Chuan-lu, Chao Kun, Mao Yun-zhi
doaj   +1 more source

Head information bottleneck (HIB): leveraging information bottleneck for efficient transformer head attribution and pruning

EURASIP Journal on Audio, Speech, and Music Processing
Multi-head attention mechanisms have been widely applied in speech pre-training. However, their roles and effectiveness in various downstream tasks have not been fully explored. Attention heads may vary in importance depending on the downstream task.
Yukun Qian, Xuyi Zhuang, Mingjiang Wang
doaj   +1 more source

An algorithm for data-driven shifting bottleneck detection

Cogent Engineering, 2016
Manufacturing companies continuously capture shop floor information using sensors technologies, Manufacturing Execution Systems (MES), Enterprise Resource Planning systems.
Mukund Subramaniyan, Anders Skoogh, Maheshwaran Gopalakrishnan, Hans Salomonsson, Atieh Hanna, Dan Lämkull   +5 more
doaj   +1 more source

Robust Network Traffic Classification Based on Information Bottleneck Neural Network

IEEE Access
Network Traffic Classification (NTC) plays a critical role in modern network security and management, used in various applications such as performance monitoring, anomaly detection, and bandwidth management.
Wei Lin, Yu Chen
semanticscholar   +1 more source

Turbo Equalization with Coarse Quantization using the Information Bottleneck Method

GLOBECOM 2024 - 2024 IEEE Global Communications Conference
This paper proposes a turbo equalizer for intersymbol interference channels (ISI) that uses coarsely quantized messages across all receiver components. Lookup tables (LUTs) carry out compression operations designed with the information bottleneck method aiming to maximize relevant mutual information.
Mohr, Philipp, Brüggmann, Jasper, Bauch, Gerhard   +2 more
openaire   +2 more sources

Counterfactual-Enhanced Information Bottleneck for Aspect-Based Sentiment Analysis

AAAI Conference on Artificial Intelligence
Despite having achieved notable success for aspect-based sentiment analysis (ABSA), deep neural networks are susceptible to spurious correlations between input features and output labels, leading to poor robustness.
Mingshan Chang, Min Yang, Qingshan Jiang, Ruifeng Xu   +3 more
semanticscholar   +1 more source

Abstract visual reasoning based on algebraic methods

Scientific Reports
Extracting high-order abstract patterns from complex high-dimensional data forms the foundation of human cognitive abilities. Abstract visual reasoning involves identifying abstract patterns embedded within composite images, considered a core competency ...
Mingyang Zheng, Weibing Wan, Zhijun Fang
doaj   +1 more source

Integrating spatial and chemical information enhances differentiation of non-alcoholic steatohepatitis states in Raman imaging

Scientific Reports
Machine learning studies for Raman imaging have addressed the differentiability of normal and diseased states in biomedical applications by grouping a set of Raman spectra in terms of spectral similarity over the sample.
Ryoya Kondo, Yuta Mizuno, Kentaro Mochizuki, Kosuke Hashimoto, Jean-Emmanuel Clément, Yasuaki Kumamoto, Katsumasa Fujita, Yoshinori Harada, Tamiki Komatsuzaki   +8 more
doaj   +1 more source

Path Tracking Control for Four-Wheel Independent Steering and Driving Vehicles Based on Improved Deep Reinforcement Learning

Technologies
We propose a compound control framework to improve the path tracking accuracy of a four-wheel independent steering and driving (4WISD) vehicle in complex environments.
Xia Hua, Tengteng Zhang, Xiangle Cheng, Xiaobin Ning   +3 more
doaj   +1 more source