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Papers matching “parameter efficiency” 46

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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-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
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
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
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
Where Do We (Not) Need Temporal Context in Low-Resource Video Task Adaptation?
2026 arXiv (Cornell University) preprint Computer Science Domain Adaptation and Few-Shot Learning Open access

Luc P. J. Sträter, Hazel Doughty

0

citations
ALoRA: Allocating Low-Rank Adaptation for Fine-tuning Large Language Models
2024 arXiv (Cornell University) preprint Computer Science Domain Adaptation and Few-Shot Learning Open access

Zhaojia Liu, Jiawen Lyn, Wei Zhu, Xing Tian, Yvette Graham

1

citations
When AI Bends Metal: AI-Assisted Optimization of Design Parameters in Sheet Metal Forming
2025 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Ahmad Tarraf, Koutaiba El Rifai Kassem-Manthey, Philipp Martin, Lukas Moj, Semih Burak, Christian Terboven, +1 more

1

citations
Benchmark of Bayesian Optimization and Metaheuristics for Control Engineering Tuning Problems with Crash Constraints
2022 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Dirk Abel

6

citations
On the Impact of Stability and the Helly Property on the Dominating Set Problem
2026 arXiv (Cornell University) preprint Computer Science Advanced Graph Theory Research Open access

Che Cheng, Daniel Mock, Peter Rossmanith

0

citations
Unifying Search and Recommendation in LLMs via Gradient Multi-Subspace Tuning
2026 arXiv (Cornell University) preprint Computer Science Recommender Systems and Techniques Open access

Jujia Zhao, Zihan Wang, Shuaiqun Pan, Suzan Verberne, Zhaochun Ren

0

citations
Unifying Search and Recommendation in LLMs via Gradient Multi-Subspace Tuning
2026 arXiv (Cornell University) preprint Computer Science Recommender Systems and Techniques Open access

Jujia Zhao, Zihan Wang, Shuaiqun Pan, Suzan Verberne, Z Ren

0

citations
Efficient EEG Seizure Detection Using INT8 Quantization, Channel Pruning, and Spiking Neural Networks
2026 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access

Kartikey Ahlawat

0

citations
When and How to Aggregate Message Authentication Codes on Lossy Channels?
2023 arXiv (Cornell University) preprint Computer Science Cryptographic Implementations and Security Open access

Eric Wagner, Martin Serror, Klaus Wehrle, Martin Henze

0

citations
A Federated Framework for LLM-based Recommendation
2024 arXiv (Cornell University) preprint Computer Science Privacy-Preserving Technologies in Data Open access

Jujia Zhao, Wenjie Wang, Xu Chen, See-Kiong Ng, Tat‐Seng Chua

6

citations
Evaluating Restricted First-Order Counting Properties on Nowhere Dense Classes and Beyond
2023 arXiv (Cornell University) preprint Computer Science Advanced Graph Theory Research Open access

Jan Dreier, Daniel Mock, Peter Rossmanith

0

citations
Unified Learnable 2D Convolutional Feature Extraction for ASR
2025 arXiv (Cornell University) preprint Computer Science Speech Recognition and Synthesis Open access

Peter Vieting, Benedikt Hilmes, Ralf Schlüter, Hermann Ney

0

citations
Fare Zone Assignment on Trees
2025 arXiv (Cornell University) preprint Computer Science Complexity and Algorithms in Graphs Open access

Martin Hoefer, Lennart Kauther, Philipp Pabst, Britta Peis, Khai Van Tran

0

citations
Dispersing Obnoxious Facilities on Graphs by Rounding Distances
2022 arXiv (Cornell University) preprint Computer Science Advanced Graph Theory Research Open access

Tim A. Hartmann, Stefan Lendl

1

citations
How to find expressible and trainable parameterized quantum circuits?
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Peter Röseler, Dennis Willsch, Kristel F. L. Michielsen

0

citations
Quantum Computational Complexity of Matrix Functions
2024 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Santiago Cifuentes, Samson Wang, Thais de Lima Silva, Mario Berta, Leandro Aolita

0

citations
Curriculum reinforcement learning for quantum architecture search under hardware errors
2024 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Yash J. Patel, Akash Kundu, Mateusz Ostaszewski, Xavier Bonet-Monroig, Vedran Dunjko, Onur Danaci

7

citations
Discovering uncertainty: Bayesian constitutive artificial neural networks
2024 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Kevin Linka, Gerhard A. Holzapfel, Ellen Kuhl

6

citations