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Papers matching “parameter efficiency” 147

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Multi-Objective Lookahead Bayesian Optimization for Process Parameter Optimization in Non-Isothermal Glass Molding
2025 Procedia CIRP article Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Hendrik Mende, Lukas Jäschke, Gustavo Schewinski, Dennis Grunert, Robert Heinrich Schmitt

0

citations
On data and knowledge transfer efficiency in deep learning
2025 RWTH Publications (RWTH Aachen) dissertation Computer Science Domain Adaptation and Few-Shot Learning Open access

Alessio Quercia

0

citations
PARA: Parameter-Efficient Fine-tuning with Prompt Aware Representation Adjustment
2025 arXiv (Cornell University) preprint Computer Science Domain Adaptation and Few-Shot Learning Open access

Zequan Liu, Yi Zhao, Ming Tan, Wei Zhu, Aaron Xuxiang Tian

0

citations
MELoRA: Mini-Ensemble Low-Rank Adapters for Parameter-Efficient Fine-Tuning
2024 arXiv (Cornell University) preprint Computer Science Domain Adaptation and Few-Shot Learning Open access

Pengjie Ren, Chengshun Shi, Shiguang Wu, Mengqi Zhang, Zhaochun Ren, Maarten de Rijke, +2 more

0

citations
Parameter synthesis in Markov models
2020 RWTH Publications (RWTH Aachen) dissertation Computer Science Formal Methods in Verification Open access

Sebastian Junges

27

citations
Parameter-efficient Bayesian Neural Networks for Uncertainty-aware Depth Estimation
2024 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access

Richard D. Paul, Alessio Quercia, Vincent Fortuin, Katharina Nöh, Hanno Scharr

0

citations
PARA: Parameter-Efficient Fine-tuning with Prompt-Aware Representation Adjustment
2024 Conference on Empirical Methods in Natural Language Processing: Industry Track (EMNLP) conference-paper Computer Science Domain Adaptation and Few-Shot Learning Open access

Zequan Liu, Yi Zhao, Ming Tan, Wei Zhu, Aaron Xuxiang Tian

0

citations
Efficiency Versus Accuracy: A Review of Design Techniques for DNN Hardware Accelerators
2021 IEEE Access article Computer Science Advanced Neural Network Applications Open access cited by 1 patent

Cecilia Latotzke, Tobias Gemmeke

34

citations
Going green: optimizing GPUs for energy efficiency through model-steered auto-tuning
2022 conference-paper Computer Science Parallel Computing and Optimization Techniques Open access

Richard Schoonhoven, Bram Veenboer, Ben van Werkhoven, Kees Joost Batenburg

21

citations
Going green: optimizing GPUs for energy efficiency through model-steered auto-tuning
2022 arXiv (Cornell University) preprint Computer Science Parallel Computing and Optimization Techniques Open access

Richard Schoonhoven, Bram Veenboer, Ben van Werkhoven, Kees Joost Batenburg

0

citations
Efficiency and scalability exploration of an application-specific instruction-set processor for deep convolutional neural networks
2020 RWTH Publications (RWTH Aachen) dissertation Computer Science Advanced Neural Network Applications Open access

Andreas Bytyn

0

citations
In-the-loop Hyper-Parameter Optimization for LLM-Based Automated Design of Heuristics
2025 ACM Transactions on Evolutionary Learning and Optimization article Computer Science Metaheuristic Optimization Algorithms Research Open access

Bas van Stein, Diederick Vermetten, Thomas Bäck

22

citations
A high-resolution downscaling approach for solar irradiance using statistical parameter matching
2025 Renewable Energy article Computer Science Solar Radiation and Photovoltaics Open access

Olalekan Omoyele, Maximilian Hoffmann, Jann Michael Weinand, Miguel Larrañeta, Jochen Linßen, Detlef Stolten

11

citations
MEFT: Memory-Efficient Fine-Tuning through Sparse Adapter
2024 arXiv (Cornell University) preprint Computer Science Domain Adaptation and Few-Shot Learning Open access

Jitai Hao, Xin Xin, Qi Meng, Zhumin Chen, Pengjie Ren, Zhaochun Ren

1

citations
LHU-Net: a Lean Hybrid U-Net for Cost-efficient, High-performance Volumetric Segmentation
2024 arXiv (Cornell University) preprint Computer Science Medical Image Segmentation Techniques Open access

Yousef Sadegheih, Afshin Bozorgpour, Pratibha Kumari, Reza Azad, Dorit Merhof

1

citations
MEFT: Memory-Efficient Fine-Tuning through Sparse Adapter
2024 Annual Meeting of the Association for Computational Linguistics (ACL) conference-paper Computer Science Domain Adaptation and Few-Shot Learning Open access

Jitai Hao, Weiwei Sun, Xin Xin, Qi Meng, Zhumin Chen, Pengjie Ren, +1 more

6

citations
KAN We Improve on HEP Classification Tasks? Kolmogorov–Arnold Networks Applied to an LHC Physics Example
2025 Computing and Software for Big Science article Computer Science Neural Networks and Applications Open access

J. Erdmann, Florian Mausolf, Jan Lukas Späh

2

citations
Improving the Training Recipe for a Robust Conformer-based Hybrid Model
2022 arXiv (Cornell University) preprint Computer Science Speech Recognition and Synthesis Open access

Mohammad Zeineldeen, Jingjing Xu, Ralf Schlüter, Hermann Ney

0

citations
Fast and robust Bayesian inference using Gaussian processes with GPry
2023 Journal of Cosmology and Astroparticle Physics article Computer Science Gaussian Processes and Bayesian Inference Open access

Jonas El Gammal, Nils Schöneberg, Jesús Torrado, Christian Fidler

21

citations
Statistical temporal pattern extraction by neuronal architecture
2023 Physical Review Research article Computer Science Neural Networks and Applications Open access

Sandra Nestler, Moritz Helias, Matthieu Gilson

1

citations
Integration of Key-value Attention into Pure and Hybrid Transformers for Semantic Segmentation
2025 Informatik aktuell conference-paper Computer Science Advanced Neural Network Applications Open access

DeShin Hwa, Klaus Drechsler

0

citations
LHU-Net: A Lean Hybrid U-Net for Cost-Efficient, High-Performance Volumetric Segmentation
2025 Lecture notes in computer science conference-paper Computer Science Medical Image Segmentation Techniques

Yousef Sadegheih, Afshin Bozorgpour, Pratibha Kumari, Reza Azad, Dorit Merhof

4

citations
Combining sequential model-based algorithm configuration with default-guided probabilistic sampling
2020 Genetic and Evolutionary Computation Conference Companion (GECCO Companion) conference-paper Computer Science Metaheuristic Optimization Algorithms Research

Marie Anastacio, Holger H. Hoos

2

citations
Greybox Algorithm Configuration
2021 conference-paper Computer Science Machine Learning and Data Classification Open access

Marie Anastacio

0

citations
Variational quantum generative modeling by sampling expectation values of tunable observables
2025 npj Quantum Information article Computer Science Quantum Computing Algorithms and Architecture Open access

Andrii Kurkin, Adrián Pérez-Salinas, Elvira Shishenina, Vedran Dunjko, Hao Wang

0

citations