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Publication search results
found 158 matches
- 2024
- Germán T. Eizaguirre, Marc Sánchez Artigas:
A Seer knows best: Auto-tuned object storage shuffling for serverless analytics. J. Parallel Distributed Comput. 183: 104763 (2024) - Wimonthip Saenprasert, Ei Ei Tun, Amir Hajian, Watchara Ruangsang, Supavadee Aramvith:
YOLO for Small Objects in Aerial Imagery: A Performance Evaluation. JCSSE 2024: 720-727 - Steinar Bjørnstad, Kristina Shizuka Yamase Skarvang, Dag Roar Hjelme, Asbjørn Tunheim, Frode Fjermestad, Eivind Østerli:
First Impact Movement Characterization of Shallow Buried Live Subsea-Cable. OFC 2024: 1-3 - Jan Kaiser, Annika Eichler, Anne Lauscher:
Large Language Models for Human-Machine Collaborative Particle Accelerator Tuning through Natural Language. CoRR abs/2405.08888 (2024) - Nway Nway Ei, Kitae Kim, Yan Kyaw Tun, Choong Seon Hong:
Data Service Maximization in Integrated Terrestrial-Non-Terrestrial 6G Networks: A Deep Reinforcement Learning Approach. CoRR abs/2405.19771 (2024) - Francisco Eiras, Aleksandar Petrov, Philip H. S. Torr, M. Pawan Kumar, Adel Bibi:
Mimicking User Data: On Mitigating Fine-Tuning Risks in Closed Large Language Models. CoRR abs/2406.10288 (2024) - Antonin Sulc, Alex Bien, Annika Eichler, Daniel Ratner, Florian Rehm, Frank Mayet, Gregor Hartmann, Hayden Hoschouer, Henrik Tünnermann, Jan Kaiser, Jason St. John, Jennefer Maldonado, Kyle J. Hazelwood, Raimund Kammering, Thorsten Hellert, Tim Wilksen, Verena Kain, Wan-Lin Hu:
Towards Unlocking Insights from Logbooks Using AI. CoRR abs/2406.12881 (2024) - Alon Halfon, Shai Gretz, Ofir Arviv, Artem Spector, Orith Toledo-Ronen, Yoav Katz, Liat Ein-Dor, Michal Shmueli-Scheuer, Noam Slonim:
Stay Tuned: An Empirical Study of the Impact of Hyperparameters on LLM Tuning in Real-World Applications. CoRR abs/2407.18990 (2024) - Meni Brief, Oded Ovadia, Gil Shenderovitz, Noga Ben Yoash, Rachel Lemberg, Eitam Sheetrit:
Mixing It Up: The Cocktail Effect of Multi-Task Fine-Tuning on LLM Performance - A Case Study in Finance. CoRR abs/2410.01109 (2024) - 2023
- Dara Molloy, Brian M. Deegan, Darragh Mullins, Enda Ward, Jonathan Horgan, Ciaran Eising, Patrick Denny, Edward Jones, Martin Glavin:
Impact of ISP Tuning on Object Detection. J. Imaging 9(12): 260 (2023) - Vinicius Eiji Martins, Alberto Cano, Sylvio Barbon Junior:
Meta-learning for dynamic tuning of active learning on stream classification. Pattern Recognit. 138: 109359 (2023) - Roy Eisenstadt, Abedelkader Asi, Royi Ronen:
Comparing Fine-Tuned Transformers and Large Language Models for Sales Call Classification: A Case Study. CIKM 2023: 5240-5241 - José Almeida, Fernando Lezama, João P. Soares, Zita Vale:
Comparing Manual vs Automatic Tuning of Differential Evolution Strategies for Energy Resource Management Optimization. EI.A 2023: 44-59 - Hoe Tung Yew, Adibah Dasuki, Ashdellther Eiry Asmat, Mohd Syaqir Japarudin, Mohd Nur Hafiy Herifian, Mazlina Mamat:
Internet-of-Things: Role of 5G Wireless Communications. iCAST 2023: 335-339 - Theresa Eimer, Marius Lindauer, Roberta Raileanu:
Hyperparameters in Reinforcement Learning and How To Tune Them. ICML 2023: 9104-9149 - Tosin P. Adewumi, Mofetoluwa Adeyemi, Aremu Anuoluwapo, Bukola Peters, Happy Buzaaba, Oyerinde Samuel, Amina Mardiyyah Rufai, Benjamin Ajibade, Tajudeen Gwadabe, Mory Moussou Koulibaly Traore, Tunde Oluwaseyi Ajayi, Shamsuddeen Hassan Muhammad, Ahmed Baruwa, Paul Owoicho, Tolúlopé Ògúnrèmí, Phylis Ngigi, Orevaoghene Ahia, Ruqayya Nasir, Foteini Liwicki, Marcus Liwicki:
AfriWOZ: Corpus for Exploiting Cross-Lingual Transfer for Dialogue Generation in Low-Resource, African Languages. IJCNN 2023: 1-8 - Ei Ei Tun, Aktanin Konkitkriengkrai, Watchara Ruangsang, Supavadee Aramvith:
Compressed Image Super Resolution using Convolutional Neural Network. TENCON 2023: 817-822 - Theresa Eimer, Marius Lindauer, Roberta Raileanu:
Hyperparameters in Reinforcement Learning and How To Tune Them. CoRR abs/2306.01324 (2023) - Jan Kaiser, Chenran Xu, Annika Eichler, Andrea Santamaría Garcia, Oliver Stein, Erik Bründermann, Willi Kuropka, Hannes Dinter, Frank Mayet, Thomas Vinatier, Florian Burkart, Holger Schlarb:
Learning to Do or Learning While Doing: Reinforcement Learning and Bayesian Optimisation for Online Continuous Tuning. CoRR abs/2306.03739 (2023) - Martin Skrodzki, Nicolas F. Chaves-de-Plaza, Klaus Hildebrandt, Thomas Höllt, Elmar Eisemann:
Tuning the perplexity for and computing sampling-based t-SNE embeddings. CoRR abs/2308.15513 (2023) - Antonin Sulc, Raimund Kammering, Annika Eichler, Tim Wilksen:
PACuna: Automated Fine-Tuning of Language Models for Particle Accelerators. CoRR abs/2310.19106 (2023) - 2022
- Chao Liu, Pengpeng Li, Fa Song, Eize J. Stamhuis, Jiyu Sun:
Design optimization and wind tunnel investigation of a flapping system based on the flapping wing trajectories of a beetle's hindwings. Comput. Biol. Medicine 140: 105085 (2022) - Edward De Brouwer, Thijs Becker, Yves Moreau, Eva Kubala Havrdova, Maria Trojano, Sara Eichau, Serkan Ozakbas, Marco Onofrj, Pierre Grammond, Jens Kuhle, Ludwig Kappos, Patrizia Sola, Elisabetta Cartechini, Jeannette Lechner-Scott, Raed Alroughani, Oliver Gerlach, Tomas Kalincik, Franco Granella, Francois Grand'Maison, Roberto Bergamaschi, Maria Jose Sa, Bart Van Wijmeersch, Aysun Soysal, Jose Luis Sanchez-Menoyo, Claudio Solaro, Cavit Boz, Gerardo Iuliano, Katherine Buzzard, Eduardo Aguera-Morales, Murat Terzi, Tamara Castillo Trivio, Daniele Spitaleri, Vincent Van Pesch, Vahid Shaygannejad, Fraser Moore, Celia Oreja Guevara, Davide Maimone, Riadh Gouider, Tunde Csepany, Cristina Ramo-Tello, Liesbet M. Peeters:
Corrigendum to Longitudinal machine learning modeling of MS patient trajectories improves predictions of disability progression: [Computer Methods and Programs in Biomedicine, Volume 208, (September 2021) 106180]. Comput. Methods Programs Biomed. 213: 106479 (2022) - Ei Ei Tun, Supavadee Aramvith, Takao Onoye:
Low complexity mode selection for H.266/VVC intra coding. ICT Express 8(1): 83-90 (2022) - Nway Nway Ei, Madyan Alsenwi, Yan Kyaw Tun, Zhu Han, Choong Seon Hong:
Energy-Efficient Resource Allocation in Multi-UAV-Assisted Two-Stage Edge Computing for Beyond 5G Networks. IEEE Trans. Intell. Transp. Syst. 23(9): 16421-16432 (2022) - C. Safranski, Guohan Hu, J. Z. Sun, P. Hashemi, S. L. Brown, L. Buzi, C. P. D'Emic, E. R. J. Edwards, Eileen A. Galligan, M. G. Gottwald, O. Gunawan, S. Karimeddiny, H. Jung, J. Kim, Kenneth F. Latzko, Philip Louis Trouilloud, S. Zare, Daniel Christopher Worledge:
Reliable Sub-nanosecond MRAM with Double Spin-torque Magnetic Tunnel Junctions. VLSI Technology and Circuits 2022: 288-289 - Tosin P. Adewumi, Mofetoluwa Adeyemi, Aremu Anuoluwapo, Bukola Peters, Happy Buzaaba, Samuel Oyerinde, Amina Mardiyyah Rufai, Benjamin Ajibade, Tajuddeen Gwadabe, Mory Moussou Koulibaly Traore, Tunde Ajayi, Shamsuddeen Hassan Muhammad, Ahmed Baruwa, Paul Owoicho, Tolúlopé Ògúnrèmí, Phylis Ngigi, Orevaoghene Ahia, Ruqayya Nasir, Foteini Liwicki, Marcus Liwicki:
Ìtàkúròso: Exploiting Cross-Lingual Transferability for Natural Language Generation of Dialogues in Low-Resource, African Languages. CoRR abs/2204.08083 (2022) - 2021
- Edward De Brouwer, Thijs Becker, Yves Moreau, Eva Kubala Havrdova, Maria Trojano, Sara Eichau, Serkan Ozakbas, Marco Onofrj, Pierre Grammond, Jens Kuhle, Ludwig Kappos, Patrizia Sola, Elisabetta Cartechini, Jeannette Lechner-Scott, Raed Alroughani, Oliver Gerlach, Tomas Kalincik, Franco Granella, Francois Grand'Maison, Roberto Bergamaschi, Maria Jose Sa, Bart Van Wijmeersch, Aysun Soysal, Jose Luis Sanchez-Menoyo, Claudio Solaro, Cavit Boz, Gerardo Iuliano, Katherine Buzzard, Eduardo Aguera-Morales, Murat Terzi, Tamara Castillo Trivio, Daniele Spitaleri, Vincent Van Pesch, Vahid Shaygannejad, Fraser Moore, Celia Oreja Guevara, Davide Maimone, Riadh Gouider, Tunde Csepany, Cristina Ramo-Tello, Liesbet M. Peeters:
Longitudinal machine learning modeling of MS patient trajectories improves predictions of disability progression. Comput. Methods Programs Biomed. 208: 106180 (2021) - Yen Liang Tung, Zubair Ahmad, Eisa Mahmoudi:
The Arcsine-X Family of Distributions with Applications to Financial Sciences. Comput. Syst. Sci. Eng. 39(3): 351-363 (2021) - Isabell Eischeid, Eeva M. Soininen, Jakob J. Assmann, Rolf A. Ims, Jesper Madsen, Åshild Ø. Pedersen, Francesco Pirotti, Nigel G. Yoccoz, Virve T. Ravolainen:
Disturbance Mapping in Arctic Tundra Improved by a Planning Workflow for Drone Studies: Advancing Tools for Future Ecosystem Monitoring. Remote. Sens. 13(21): 4466 (2021)
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