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Publication search results
found 71 matches
- 2024
- Han Li, Yukai Ma, Yaqing Gu, Kewei Hu, Yong Liu, Xingxing Zuo:
RadarCam-Depth: Radar-Camera Fusion for Depth Estimation with Learned Metric Scale. CoRR abs/2401.04325 (2024) - 2023
- Terézia Slanináková, Matej Antol, Jaroslav Olha, Vlastislav Dohnal, Susana Ladra, Miguel A. Martínez-Prieto:
Reproducible experiments with Learned Metric Index Framework. Inf. Syst. 118: 102255 (2023) - Yao Tian, Tingyun Yan, Xi Zhao, Kai Huang, Xiaofang Zhou:
A Learned Index for Exact Similarity Search in Metric Spaces. IEEE Trans. Knowl. Data Eng. 35(8): 7624-7638 (2023) - Liam Cripwell, Joël Legrand, Claire Gardent:
Simplicity Level Estimate (SLE): A Learned Reference-Less Metric for Sentence Simplification. EMNLP 2023: 12053-12059 - Ross E. Allen, Wei Xiao, Daniela Rus:
Learned Risk Metric Maps for Kinodynamic Systems. ICRA 2023: 961-967 - Shuai Li, Azarakhsh Keipour, Kevin G. Jamieson, Nicolas Hudson, Charles Swan, Kostas E. Bekris:
Demonstrating Large-Scale Package Manipulation via Learned Metrics of Pick Success. Robotics: Science and Systems 2023 - Terézia Slanináková, David Procházka, Matej Antol, Jaroslav Olha, Vlastislav Dohnal:
SISAP 2023 Indexing Challenge - Learned Metric Index. SISAP 2023: 282-290 - Ross E. Allen, Wei Xiao, Daniela Rus:
Learned Risk Metric Maps for Kinodynamic Systems. CoRR abs/2302.14803 (2023) - Shuai Li, Azarakhsh Keipour, Kevin Jamieson, Nicolas Hudson, Charles Swan, Kostas E. Bekris:
Large-Scale Package Manipulation via Learned Metrics of Pick Success. CoRR abs/2305.10272 (2023) - Liam Cripwell, Joël Legrand, Claire Gardent:
Simplicity Level Estimate (SLE): A Learned Reference-Less Metric for Sentence Simplification. CoRR abs/2310.08170 (2023) - Vinayak Sharma, Aviral Shrivastava:
Quantum Polar Metric Learning: Efficient Classically Learned Quantum Embeddings. CoRR abs/2312.01655 (2023) - 2022
- Avisek Gupta, Swagatam Das:
Transfer Clustering Using a Multiple Kernel Metric Learned Under Multi-Instance Weak Supervision. IEEE Trans. Emerg. Top. Comput. Intell. 6(4): 828-838 (2022) - Dongqi Fu, Liri Fang, Ross Maciejewski, Vetle I. Torvik, Jingrui He:
Meta-Learned Metrics over Multi-Evolution Temporal Graphs. KDD 2022: 367-377 - Yao Tian, Tingyun Yan, Xi Zhao, Kai Huang, Xiaofang Zhou:
A Learned Index for Exact Similarity Search in Metric Spaces. CoRR abs/2204.10028 (2022) - Konstantin Kobs, Michael Steininger, Andrzej Dulny, Andreas Hotho:
Do Different Deep Metric Learning Losses Lead to Similar Learned Features? CoRR abs/2205.02698 (2022) - Per Berglund, Giorgi Butbaia, Tristan Hübsch, Vishnu Jejjala, Damián Mayorga Peña, Challenger Mishra, Justin Tan:
Machine Learned Calabi-Yau Metrics and Curvature. CoRR abs/2211.09801 (2022) - 2021
- Matej Antol, Jaroslav Olha, Terézia Slanináková, Vlastislav Dohnal:
Learned Metric Index - Proposition of learned indexing for unstructured data. Inf. Syst. 100: 101774 (2021) - Jing Gu, Qingyang Wu, Zhou Yu:
Perception Score: A Learned Metric for Open-ended Text Generation Evaluation. AAAI 2021: 12902-12910 - Glen Chou, Necmiye Ozay, Dmitry Berenson:
Model Error Propagation via Learned Contraction Metrics for Safe Feedback Motion Planning of Unknown Systems. CDC 2021: 3576-3583 - Konstantin Kobs, Michael Steininger, Andrzej Dulny, Andreas Hotho:
Do Different Deep Metric Learning Losses Lead to Similar Learned Features? ICCV 2021: 10624-10634 - Maciej Janik, Niklas Gard, Anna Hilsmann, Peter Eisert:
Zero in on Shape: A Generic 2D-3D Instance Similarity Metric Learned from Synthetic Data. ICIP 2021: 2638-2642 - Florian von Unold, Monika Wintergerst, Lenz Belzner, Georg Groh:
DYME: A Dynamic Metric for Dialog Modeling Learned from Human Conversations. ICONIP (5) 2021: 257-264 - Steffen Czolbe, Oswin Krause, Aasa Feragen:
Semantic similarity metrics for learned image registration. MIDL 2021: 105-118 - Terézia Slanináková, Matej Antol, Jaroslav Olha, Vojtech Kana, Vlastislav Dohnal:
Data-Driven Learned Metric Index: An Unsupervised Approach. SISAP 2021: 81-94 - Raphael Shu, Kang Min Yoo, Jung-Woo Ha:
Reward Optimization for Neural Machine Translation with Learned Metrics. CoRR abs/2104.07541 (2021) - Glen Chou, Necmiye Ozay, Dmitry Berenson:
Model Error Propagation via Learned Contraction Metrics for Safe Feedback Motion Planning of Unknown Systems. CoRR abs/2104.08695 (2021) - Steffen Czolbe, Oswin Krause, Aasa Feragen:
Semantic similarity metrics for learned image registration. CoRR abs/2104.10051 (2021) - Maciej Janik, Niklas Gard, Anna Hilsmann, Peter Eisert:
Zero in on Shape: A Generic 2D-3D Instance Similarity Metric learned from Synthetic Data. CoRR abs/2108.04091 (2021) - Baocheng Sun, Meng Gu, Dailan He, Tongda Xu, Yan Wang, Hongwei Qin:
HLIC: Harmonizing Optimization Metrics in Learned Image Compression by Reinforcement Learning. CoRR abs/2109.14863 (2021) - 2020
- Shao-peng Li, Yong Xian, Tao Zhang, Bangjie Li, Daqiao Zhang, Weilin Guo:
Vision-Based Pose Optimization Using Learned Metrics. IEEE Access 8: 164313-164324 (2020)
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