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Publication search results
found 1,087 matches
- 2024
- Pin-Hung Juan, Ja-Ling Wu:
Enhancing Communication Efficiency and Training Time Uniformity in Federated Learning through Multi-Branch Networks and the Oort Algorithm. Algorithms 17(2): 52 (2024) - Eren Bas, Erol Egrioglu, Turan Cansu:
Robust training of median dendritic artificial neural networks for time series forecasting. Expert Syst. Appl. 238(Part C): 122080 (2024) - Xiaoqian Chen, Lalit Gupta:
Training LSTMS with circular-shift epochs for accurate event forecasting in imbalanced time series. Expert Syst. Appl. 238(Part C): 121701 (2024) - Ryusei Kasai, Kouki Nagamune:
A Deep Learning Approach for Surgical Instruments Detection System in Total Knee Arthroplasty - Automatic Creation of Training Data and Reduction of Training Time -. J. Adv. Comput. Intell. Intell. Informatics 28(1): 150-158 (2024) - Dilliraj Ekambaram, Vijayakumar Ponnusamy:
Real-time AI-assisted visual exercise pose correctness during rehabilitation training for musculoskeletal disorder. J. Real Time Image Process. 21(1): 2 (2024) - Chenyu Zang, Wei Gai, Haodong Li, Chenzhi Xing, Wenfei Wang, Dongli Li, Gaorong Lv, Chenglei Yang:
Supporting foot interaction of reaction time training system. Comput. Animat. Virtual Worlds 35(1) (2024) - Sunwoo Kim, Youngjo Min, Younghun Jung, Seungryong Kim:
Controllable Style Transfer via Test-time Training of Implicit Neural Representation. Pattern Recognit. 146: 109988 (2024) - Lin Li, Xiao Han, Wei Ge:
Iterative Signal Detection and Channel Estimation with Superimposed Training Sequences for Underwater Acoustic Information Transmission in Time-Varying Environments. Remote. Sens. 16(7): 1209 (2024) - Ye Ye, Ming-xia Zhu, Changwei Ou, Bingzhu Wang, Lu Wang, Nenggang Xie:
Online pattern recognition of lower limb movements based on sEMG signals and its application in real-time rehabilitation training. Robotica 42(2): 389-414 (2024) - Marta Catillo, Antonio Pecchia, Umberto Villano:
Exploring the effect of training-time randomness on the performance of deep neural networks for intrusion detection. Soft Comput. 28(3): 1957-1969 (2024) - Weijian Pan, Xiumin Wang, Pan Zhou, Weiwei Lin:
Time-Sensitive Federated Learning With Heterogeneous Training Intensity: A Deep Reinforcement Learning Approach. IEEE Trans. Emerg. Top. Comput. Intell. 8(2): 1402-1415 (2024) - Mai Geisen, André Nicklas, Tobias Baumgartner, Stefanie Klatt:
Extended Reality as a Training Approach for Visual Real-Time Feedback in Golf. IEEE Trans. Learn. Technol. 17: 642-652 (2024) - Seunghan Lee, Amar Sadanand Shetty, Lora A. Cavuoto:
Modeling of Learning Processes Using Continuous-Time Markov Chain for Virtual-Reality-Based Surgical Training in Laparoscopic Surgery. IEEE Trans. Learn. Technol. 17: 462-473 (2024) - Xingang Fu, Jordan Sturtz, Eduardo Alonso, Rajab Challoo, Letu Qingge:
Parallel Trajectory Training of Recurrent Neural Network Controllers With Levenberg-Marquardt and Forward Accumulation Through Time in Closed-Loop Control Systems. IEEE Trans. Sustain. Comput. 9(2): 222-229 (2024) - Sebastian Rutkowski, Aleksandra Jakóbczyk, Kacper Abrahamek, Aleksandra Nowakowska, Magdalena Nowak, David Liska, Ladislav Batalik, Vera Colombo, Marco Sacco:
Training using a commercial immersive virtual reality system on hand-eye coordination and reaction time in students: a randomized controlled trial. Virtual Real. 28(1): 7 (2024) - Yiming Chen, Haiwei Wu, Jiantao Zhou:
Progressive Poisoned Data Isolation for Training-Time Backdoor Defense. AAAI 2024: 11425-11433 - Yongyi Su, Xun Xu, Kui Jia:
Towards Real-World Test-Time Adaptation: Tri-net Self-Training with Balanced Normalization. AAAI 2024: 15126-15135 - Zi Wang, Huaibo Huang, Aihua Zheng, Ran He:
Heterogeneous Test-Time Training for Multi-Modal Person Re-identification. AAAI 2024: 5850-5858 - Chendi Zhu, Lujun Li, Yuli Wu, Zhengxing Sun:
SasWOT: Real-Time Semantic Segmentation Architecture Search WithOut Training. AAAI 2024: 7722-7730 - Hristo Papazov, Scott Pesme, Nicolas Flammarion:
Leveraging Continuous Time to Understand Momentum When Training Diagonal Linear Networks. AISTATS 2024: 3556-3564 - Olle Hansson, Mahdieh Grailoo, Oscar Gustafsson, José L. Núñez-Yáñez:
Deep Quantization of Graph Neural Networks with Run-Time Hardware-Aware Training. ARC 2024: 33-47 - Ridhima Bector, Abhay Aradhya, Chai Quek, Zinovi Rabinovich:
Adaptive Discounting of Training Time Attacks. AAMAS 2024: 2150-2152 - Byung-Doh Oh, Shisen Yue, William Schuler:
Frequency Explains the Inverse Correlation of Large Language Models' Size, Training Data Amount, and Surprisal's Fit to Reading Times. EACL (1) 2024: 2644-2663 - Tanmaey Gupta, Sanjeev Krishnan, Rituraj Kumar, Abhishek Vijeev, Bhargav S. Gulavani, Nipun Kwatra, Ramachandran Ramjee, Muthian Sivathanu:
Just-In-Time Checkpointing: Low Cost Error Recovery from Deep Learning Training Failures. EuroSys 2024: 1110-1125 - Lachlan Driver, Nicole M. Duggan, Chares Brower, Mahdi Ebnali, Da'Marcus Baymon, Alexei Wagner, Roger D. Dias, Anthony E. Samir, Tina Kapur, Andrew J. Goldsmith, Christopher W. Baugh:
Machine Learning Models for Point-of-care Ultrasound Education and Training: National Cost Savings and Expert Time Reduction. HICSS 2024: 3915-3924 - Mauro Dalle Lucca Tosi, Vinu E. Venugopal, Martin Theobald:
TensAIR: Real-Time Training of Neural Networks from Data-streams. ICMLSC 2024: 73-82 - Zhao Song, Lichen Zhang, Ruizhe Zhang:
Training Multi-Layer Over-Parametrized Neural Network in Subquadratic Time. ITCS 2024: 93:1-93:15 - Shanfeng Hu, Ying Huang:
TOPOMA: Time-Series Orthogonal Projection Operator with Moving Average for Interpretable and Training-Free Anomaly Detection. PAKDD (1) 2024: 53-65 - Beth Lynn Nolen:
Adventures in Teams Calls: Developing training on a short timeline to support IU's Teams Phone migration. SIGUCCS 2024: 51 - Gilad Cohen, Raja Giryes:
Simple Post-Training Robustness using Test Time Augmentations and Random Forest. WACV 2024: 3984-3994
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