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Publication search results
found 105 matches
- 2024
- Hengmin Zhang, Jian Yang, Jianjun Qian, Chen Gong, Xin Ning, Zhiyuan Zha, Bihan Wen:
Faster nonconvex low-rank matrix learning for image low-level and high-level vision: A unified framework. Inf. Fusion 108: 102347 (2024) - Yuan Wang, Zhiqiang Tao, Yi Fang:
A Unified Meta-Learning Framework for Fair Ranking With Curriculum Learning. IEEE Trans. Knowl. Data Eng. 36(9): 4386-4397 (2024) - Bo Lv, Chen Tang, Yanan Zhang, Xin Liu, Ping Luo, Yue Yu:
URG: A Unified Ranking and Generation Method for Ensembling Language Models. ACL (Findings) 2024: 4421-4434 - Hao Yu, Minghao Fu, Jiandong Ding, Yusheng Zhou, Jianxin Wu:
Unified Low-rank Compression Framework for Click-through Rate Prediction. KDD 2024: 6169-6180 - Jinhan Liu, Qiyu Chen, Junjie Xu, Junjie Li, Baoli Li, Sulong Xu:
A Unified Search and Recommendation Framework Based on Multi-Scenario Learning for Ranking in E-commerce. SIGIR 2024: 2890-2894 - Alireza Salemi, Hamed Zamani:
Towards a Search Engine for Machines: Unified Ranking for Multiple Retrieval-Augmented Large Language Models. SIGIR 2024: 741-751 - Kai Zheng, Haijun Zhao, Rui Huang, Beichuan Zhang, Na Mou, Yanan Niu, Yang Song, Hongning Wang, Kun Gai:
Full Stage Learning to Rank: A Unified Framework for Multi-Stage Systems. WWW 2024: 3621-3631 - Alireza Salemi, Hamed Zamani:
Towards a Search Engine for Machines: Unified Ranking for Multiple Retrieval-Augmented Large Language Models. CoRR abs/2405.00175 (2024) - Kai Zheng, Haijun Zhao, Rui Huang, Beichuan Zhang, Na Mou, Yanan Niu, Yang Song, Hongning Wang, Kun Gai:
Full Stage Learning to Rank: A Unified Framework for Multi-Stage Systems. CoRR abs/2405.04844 (2024) - Jinhan Liu, Qiyu Chen, Junjie Xu, Junjie Li, Baoli Li, Sulong Xu:
A Unified Search and Recommendation Framework Based on Multi-Scenario Learning for Ranking in E-commerce. CoRR abs/2405.10835 (2024) - Hao Yu, Minghao Fu, Jiandong Ding, Yusheng Zhou, Jianxin Wu:
Unified Low-rank Compression Framework for Click-through Rate Prediction. CoRR abs/2405.18146 (2024) - 2023
- Yanhong Li, Gang Sun:
A unified ranking method of intuitionistic fuzzy numbers and Pythagorean fuzzy numbers based on geometric area characterization. Comput. Appl. Math. 42(1) (2023) - Yuan Zhang, Yuanqing Xia, Yufeng Zhan:
On real structured controllability/stabilizability/stability radius: Complexity and unified rank-relaxation based methods. Syst. Control. Lett. 178: 105578 (2023) - James Demmel, Laura Grigori, Alexander Rusciano:
An Improved Analysis and Unified Perspective on Deterministic and Randomized Low-Rank Matrix Approximation. SIAM J. Matrix Anal. Appl. 44(2): 559-591 (2023) - Shuqin Wang, Yongyong Chen, Zhiping Lin, Yigang Cen, Qi Cao:
Robustness Meets Low-Rankness: Unified Entropy and Tensor Learning for Multi-View Subspace Clustering. IEEE Trans. Circuits Syst. Video Technol. 33(11): 6302-6316 (2023) - Le Sun, Chengxun He, Yuhui Zheng, Zebin Wu, Byeungwoo Jeon:
Tensor Cascaded-Rank Minimization in Subspace: A Unified Regime for Hyperspectral Image Low-Level Vision. IEEE Trans. Image Process. 32: 100-115 (2023) - Lele Fu, Zhaoliang Chen, Yongyong Chen, Shiping Wang:
Unified Low-Rank Tensor Learning and Spectral Embedding for Multi-View Subspace Clustering. IEEE Trans. Multim. 25: 4972-4985 (2023) - Sixiang Chen, Tian Ye, Jinbin Bai, Erkang Chen, Jun Shi, Lei Zhu:
Sparse Sampling Transformer with Uncertainty-Driven Ranking for Unified Removal of Raindrops and Rain Streaks. ICCV 2023: 13060-13071 - Zhijian Zhuo, Yifei Wang, Jinwen Ma, Yisen Wang:
Towards a Unified Theoretical Understanding of Non-contrastive Learning via Rank Differential Mechanism. ICLR 2023 - Rufeng Xiao, Yuze Ge, Rujun Jiang, Yifan Yan:
A Unified Framework for Rank-based Loss Minimization. NeurIPS 2023 - Zeyu Zhang, Yi Su, Hui Yuan, Yiran Wu, Rishab Balasubramanian, Qingyun Wu, Huazheng Wang, Mengdi Wang:
Unified Off-Policy Learning to Rank: a Reinforcement Learning Perspective. NeurIPS 2023 - Zhijian Zhuo, Yifei Wang, Jinwen Ma, Yisen Wang:
Towards a Unified Theoretical Understanding of Non-contrastive Learning via Rank Differential Mechanism. CoRR abs/2303.02387 (2023) - Zeyu Zhang, Yi Su, Hui Yuan, Yiran Wu, Rishab Balasubramanian, Qingyun Wu, Huazheng Wang, Mengdi Wang:
Unified Off-Policy Learning to Rank: a Reinforcement Learning Perspective. CoRR abs/2306.07528 (2023) - Sixiang Chen, Tian Ye, Jinbin Bai, Erkang Chen, Jun Shi, Lei Zhu:
Sparse Sampling Transformer with Uncertainty-Driven Ranking for Unified Removal of Raindrops and Rain Streaks. CoRR abs/2308.14153 (2023) - Chupeng Ma:
A unified framework for multiscale spectral generalized FEMs and low-rank approximations to multiscale PDEs. CoRR abs/2311.08761 (2023) - 2022
- Qian-Zhen Zheng, Ping-Feng Xu:
A unified framework for nonconvex nonsmooth sparse and low-rank decomposition by majorization-minimization algorithm. J. Frankl. Inst. 359(16): 9376-9400 (2022) - Michael Pearce, Elena A. Erosheva:
A Unified Statistical Learning Model for Rankings and Scores with Application to Grant Panel Review. J. Mach. Learn. Res. 23: 210:1-210:33 (2022) - Teng-Yu Ji, Delin Chu, Xi-Le Zhao, Danfeng Hong:
A Unified Framework of Cloud Detection and Removal Based on Low-Rank and Group Sparse Regularizations for Multitemporal Multispectral Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
Two Birds with One Stone: Unified Model Learning for Both Recall and Ranking in News Recommendation. ACL (Findings) 2022: 3474-3480 - Yuan Zhang, Yuanqing Xia, Yufeng Zhan:
On real structured controllability/stabilizability/stability radius: Complexity and unified rank-relaxation based methods. CoRR abs/2201.01112 (2022)
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