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Publication search results
found 178 matches
- 2024
- Tingjin Luo, Yang Yang, Dongyun Yi, Jieping Ye:
Robust discriminative feature learning with calibrated data reconstruction and sparse low-rank model. Appl. Intell. 54(3): 2867-2880 (2024) - Letian Xiao, Shijie Li, Kunpeng Wu, Shiyin Liu, Yu Zhu, Muhammad Mannan Afzal, Jun Zhou, Ying Yi, Jinyue Wei, Yunpeng Duan, Yiyuan Shen:
A Geodetic-Data-Calibrated Ice Flow Model to Simulate Historical and Future Response of Glaciers in Southeastern Tibetan Plateau. Remote. Sens. 16(3): 522 (2024) - Mingkui Tan, Guohao Chen, Jiaxiang Wu, Yifan Zhang, Yaofo Chen, Peilin Zhao, Shuaicheng Niu:
Uncertainty-Calibrated Test-Time Model Adaptation without Forgetting. CoRR abs/2403.11491 (2024) - Hee Suk Yoon, Eunseop Yoon, Joshua Tian Jin Tee, Mark Hasegawa-Johnson, Yingzhen Li, Chang D. Yoo:
C-TPT: Calibrated Test-Time Prompt Tuning for Vision-Language Models via Text Feature Dispersion. CoRR abs/2403.14119 (2024) - 2023
- Wenyuan Sun, Yuyun Zhao, Jihao Liu, Guoyan Zheng:
LatentPCN: latent space-constrained point cloud network for reconstruction of 3D patient-specific bone surface models from calibrated biplanar X-ray images. Int. J. Comput. Assist. Radiol. Surg. 18(6): 989-999 (2023) - Jarne Verhaeghe, Thomas De Corte, Christopher M. Sauer, Tom Hendriks, Olivier W. M. Thijssens, Femke Ongenae, Paul W. G. Elbers, Jan J. De Waele, Sofie Van Hoecke:
Generalizable calibrated machine learning models for real-time atrial fibrillation risk prediction in ICU patients. Int. J. Medical Informatics 175: 105086 (2023) - Julieta Reyna-Luna, Luis Soriano-Agueda, Christiaan Jardinez Vera, Marco Franco-Pérez:
Insights into the coordination chemistry of antineoplastic doxorubicin with 3d-transition metal ions Zn2+, Cu2+, and VO2+: a study using well-calibrated thermodynamic cycles and chemical interaction quantum chemistry models. J. Comput. Aided Mol. Des. 37(7): 279-299 (2023) - Kirti Jain, Vasudha Bhatnagar, Sharanjit Kaur:
Epidemic dynamics in census-calibrated modular contact network. Netw. Model. Anal. Health Informatics Bioinform. 12(1): 14 (2023) - Fei Zhu, Zhen Cheng, Xu-Yao Zhang, Cheng-Lin Liu:
Imitating the oracle: Towards calibrated model for class incremental learning. Neural Networks 164: 38-48 (2023) - Yi Huang, Ying Li, Guillaume Jourjon, Suranga Seneviratne, Kanchana Thilakarathna, Adriel Cheng, Darren Webb, Richard Yi Da Xu:
Calibrated reconstruction based adversarial autoencoder model for novelty detection. Pattern Recognit. Lett. 169: 50-57 (2023) - Md Sultan Ali, Henrick Haule, John Kodi, Priyanka Alluri, Thobias Sando:
Transferability of a calibrated microscopic simulation model parameters for operational assessment of transit signal priority. Public Transp. 15(3): 791-812 (2023) - Feijuan Li, Junyu Li, Lilong Liu, Liangke Huang, Lv Zhou, Hongchang He:
Machine Learning-Based Calibrated Model for Forecast Vienna Mapping Function 3 Zenith Wet Delay. Remote. Sens. 15(19): 4824 (2023) - Zongmin Wang, Mengdan Guo, Dong Zhang, Ruqi Chen, Chaofan Xi, Haibo Yang:
Coupling the Calibrated GlobalLand30 Data and Modified PLUS Model for Multi-Scenario Land Use Simulation and Landscape Ecological Risk Assessment. Remote. Sens. 15(21): 5186 (2023) - You Li, Zhuokang Huang, Xiaobo Liu, Yu Jie, Chaoyang Song, Chengzhi Hu:
Calibrated analytical model for magnetic localization of wireless capsule endoscope based on onboard sensing. Robotica 41(5): 1500-1514 (2023) - Qianwen Chao, Pengfei Liu, Yi Han, Yingying Lin, Chaoneng Li, Qiguang Miao, Xiaogang Jin:
A Calibrated Force-Based Model for Mixed Traffic Simulation. IEEE Trans. Vis. Comput. Graph. 29(3): 1664-1677 (2023) - Nikhil Gosala, Fangjinhua Wang, Zhaopeng Cui, Hanxue Liang, Oliver Glauser, Shihao Wu, Olga Sorkine-Hornung:
Self-Calibrated Multi-Sensor Wearable for Hand Tracking and Modeling. IEEE Trans. Vis. Comput. Graph. 29(3): 1769-1784 (2023) - Yuanhao Jiang, Shidong Zhou, Xiaofeng Zhong:
A Calibrated Permittivity Modeling Approach for Cross-Area Path Loss Prediction. IEEE Wirel. Commun. Lett. 12(8): 1299-1303 (2023) - Haotian Xu, Yingying Zhang:
Triple-Hybrid Energy-based Model Makes Better Calibrated Natural Language Understanding Models. EACL 2023: 274-285 - Sumeet Gupta, Shweta Jain, Shashi Shekhar Jha, Pao-Ann Hsiung, Ming-Hung Wang:
Take Expert Advice Judiciously: Combining Groupwise Calibrated Model Probabilities with Expert Predictions. ECAI 2023: 956-963 - Yanlin Feng, Adithya Pratapa, David R. Mortensen:
Calibrated Seq2seq Models for Efficient and Generalizable Ultra-fine Entity Typing. EMNLP (Findings) 2023: 15550-15560 - Hwanjun Song, Igor Shalyminov, Hang Su, Siffi Singh, Kaisheng Yao, Saab Mansour:
Enhancing Abstractiveness of Summarization Models through Calibrated Distillation. EMNLP (Findings) 2023: 7026-7036 - Katherine Tian, Eric Mitchell, Allan Zhou, Archit Sharma, Rafael Rafailov, Huaxiu Yao, Chelsea Finn, Christopher D. Manning:
Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback. EMNLP 2023: 5433-5442 - Katherine Tian, Eric Mitchell, Allan Zhou, Archit Sharma, Rafael Rafailov, Huaxiu Yao, Chelsea Finn, Christopher D. Manning:
Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback. CoRR abs/2305.14975 (2023) - Siyu Ren, Junhui Hou:
Unleash the Potential of 3D Point Cloud Modeling with A Calibrated Local Geometry-driven Distance Metric. CoRR abs/2306.00552 (2023) - Lukas Muttenthaler, Robert A. Vandermeulen, Qiuyi Zhang, Thomas Unterthiner, Klaus-Robert Müller:
Set Learning for Accurate and Calibrated Models. CoRR abs/2307.02245 (2023) - Wenqi Shao, Mengzhao Chen, Zhaoyang Zhang, Peng Xu, Lirui Zhao, Zhiqian Li, Kaipeng Zhang, Peng Gao, Yu Qiao, Ping Luo:
OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models. CoRR abs/2308.13137 (2023) - Anand Brahmbhatt, Vipul Rathore, Mausam, Parag Singla:
Towards Fair and Calibrated Models. CoRR abs/2310.10399 (2023) - Hwanjun Song, Igor Shalyminov, Hang Su, Siffi Singh, Kaisheng Yao, Saab Mansour:
Enhancing Abstractiveness of Summarization Models through Calibrated Distillation. CoRR abs/2310.13760 (2023) - Yanlin Feng, Adithya Pratapa, David R. Mortensen:
Calibrated Seq2seq Models for Efficient and Generalizable Ultra-fine Entity Typing. CoRR abs/2311.00835 (2023) - Changdae Oh, Mijoo Kim, Hyesu Lim, Junhyeok Park, Euiseog Jeong, Zhi-Qi Cheng, Kyungwoo Song:
Towards Calibrated Robust Fine-Tuning of Vision-Language Models. CoRR abs/2311.01723 (2023)
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