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Papers matching “efficient models” 196

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All Models are Wrong, Knowing Where is Useful: On Model Uncertainty in Reinforcement Learning
2026 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Bernd Frauenknecht, Devdutt Subhasish, Artur Eisele, Friedrich Solowjow, Sebastian Trimpe

0

citations
Computation-Efficient Era: A Comprehensive Survey of State Space Models in Medical Image Analysis
2024 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access

Moein Heidari, Sina Ghorbani Kolahi, Sanaz Karimijafarbigloo, Bobby Azad, Afshin Bozorgpour, Soheila Hatami, +5 more

4

citations
BrainFocus: EEG-Guided ROI Selection for Efficient Vision-Language Models
2026 arXiv (Cornell University) preprint Computer Science Multimodal Machine Learning Applications Open access

Yihui Peng, G. Lu, Qinyu Chen

0

citations
Instruction Distillation Makes Large Language Models Efficient Zero-shot Rankers
2023 arXiv (Cornell University) preprint Computer Science Information Retrieval and Search Behavior Open access

Weiwei Sun, Zheng Chen, Xinyu Ma, Lingyong Yan, Shuaiqiang Wang, Pengjie Ren, +3 more

3

citations
Mask More and Mask Later: Efficient Pre-training of Masked Language Models by Disentangling the [MASK] Token
2022 arXiv (Cornell University) preprint Computer Science Topic Modeling Open access

Baohao Liao, David Thulke, Sanjika Hewavitharana, Hermann Ney, Christof Monz

0

citations
Controlling the Mutation in Large Language Models for the Efficient Evolution of Algorithms
2024 arXiv (Cornell University) preprint Computer Science Evolutionary Algorithms and Applications Open access

Haoran Yin, Anna V. Kononova, Thomas Bäck, Bas van Stein

0

citations
Efficient Supernet Training with Orthogonal Softmax for Scalable ASR Model Compression
2025 arXiv (Cornell University) preprint Computer Science Speech Recognition and Synthesis Open access

Jingjing Xu, Eugen Beck, Zijian Győző Yang, Ralf Schlüter

0

citations
Efficient Sequence Training of Attention Models using Approximative Recombination
2021 arXiv (Cornell University) preprint Computer Science Speech Recognition and Synthesis Open access

Nils-Philipp Wynands, Wilfried Michel, Jan Rosendahl, Ralf Schlüter, Hermann Ney

0

citations
LiteVSR: Efficient Visual Speech Recognition by Learning from Speech Representations of Unlabeled Data
2023 arXiv (Cornell University) preprint Computer Science Speech and Audio Processing Open access

Hendrik Laux, Emil Mededovic, Ahmed Hallawa, Lukas Märtin, Arne Peine, Anke Schmeink

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
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
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
First-Order Model-Checking in Random Graphs and Complex Networks
2020 arXiv (Cornell University) preprint Computer Science Advanced Graph Theory Research Open access

Jan Dreier, Philipp Kuinke, Peter Rossmanith

1

citations
Use of Federated Learning for validating and updating privacy-preserving decentralized multi-study prognostic models in Traumatic Brain Injury
2026 medRxiv preprint Computer Science Privacy-Preserving Technologies in Data Open access

Abel Torres-Espin, Justin C. Wong, H.E. Hinson, Thomas B. Kuipers, Bart P. T. Hoekstra, Sonia Jain, +12 more

0

citations
Reinforced Efficient Reasoning via Semantically Diverse Exploration
2026 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Ziqi Zhao, Zhaochun Ren, Jiahong Zou, Liu Yang, Zhiwei Xu, Xuri Ge, +6 more

0

citations
Reinforced Efficient Reasoning via Semantically Diverse Exploration
2026 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Ziqi Zhao, Zhaochun Ren, Jiahong Zou, Liu Yang, Zhiwei Xu, Xuri Ge, +6 more

0

citations
Document-Level Language Models for Machine Translation
2023 arXiv (Cornell University) preprint Computer Science Natural Language Processing Techniques Open access

Frithjof Petrick, Christian Herold, Pavel Petrushkov, Shahram Khadivi, Hermann Ney

0

citations
On the relation between trainability and dequantization of variational quantum learning models
2024 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Elies Gil-Fuster, Casper Gyurik, Adrián Pérez-Salinas, Vedran Dunjko

1

citations
Data-efficient Deep Reinforcement Learning for Vehicle Trajectory Control
2023 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Bernd Frauenknecht, Tobias Ehlgen, Sebastian Trimpe

0

citations
Compute-Efficient Medical Image Classification with Softmax-Free Transformers and Sequence Normalization
2024 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access

Firas Khader, Omar S. M. El Nahhas, Tianyu Han, Gustav Anton Müller‐Franzes, Sven Nebelung, Jakob Nikolas Kather, +1 more

0

citations
Full-Sum Decoding for Hybrid HMM based Speech Recognition using LSTM Language Model
2020 arXiv (Cornell University) preprint Computer Science Speech Recognition and Synthesis Open access

Wei Guo Zhou, Ralf Schlüter, Hermann Ney

1

citations
Localized Latent Updates for Fine-Tuning Vision-Language Models
2022 arXiv (Cornell University) preprint Computer Science Domain Adaptation and Few-Shot Learning Open access

Moritz Ibing, Isaak Lim, Leif P. Kobbelt

0

citations
Out of Control: Reducing Probabilistic Models by Control-State Elimination
2020 arXiv (Cornell University) preprint Computer Science Formal Methods in Verification Open access

Johannes C. Lehmann, Joost-Pieter Katoen

0

citations
Soft Preference Optimization: Aligning Language Models to Expert Distributions
2024 arXiv (Cornell University) preprint Computer Science Topic Modeling Open access

Arsalan Sharifnassab, Saber Salehkaleybar, Sina Ghiassian, Surya Kanoria, Dale Schuurmans

0

citations
Divide-Then-Aggregate: An Efficient Tool Learning Method via Parallel Tool Invocation
2025 arXiv (Cornell University) preprint Computer Science AI-based Problem Solving and Planning Open access

Zhaochun Ren, Shuaiqiang Wang, Lisong Yan, Dawei Yin

0

citations