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Publication search results
found 184 matches
- 2024
- Ali Muhammad Shaikh, Yun-Bo Zhao, Aakash Kumar, Munawar Ali, Yu Kang:
Efficient Bayesian CNN Model Compression using Bayes by Backprop and L1-Norm Regularization. Neural Process. Lett. 56(2): 140 (2024) - Elías Abad-Rocamora, Fanghui Liu, Grigorios G. Chrysos, Pablo M. Olmos, Volkan Cevher:
Efficient local linearity regularization to overcome catastrophic overfitting. CoRR abs/2401.11618 (2024) - Yuanhang Zhang, Zhidi Lin, Yiyong Sun, Feng Yin, Carsten Fritsche:
Regularization-Based Efficient Continual Learning in Deep State-Space Models. CoRR abs/2403.10123 (2024) - Khiem Le-Huy, Long Ho, Cuong Do, Danh Le Phuoc, Kok-Seng Wong:
Efficiently Assemble Normalization Layers and Regularization for Federated Domain Generalization. CoRR abs/2403.15605 (2024) - Boyuan Liang, Lingfeng Sun, Xinghao Zhu, Bike Zhang, Ziyin Xiong, Chenran Li, Koushil Sreenath, Masayoshi Tomizuka:
Adaptive Energy Regularization for Autonomous Gait Transition and Energy-Efficient Quadruped Locomotion. CoRR abs/2403.20001 (2024) - 2023
- Renxing Li, Zhiwei Shang, Chunhua Zheng, Huiyun Li, Qing Liang, Yunduan Cui:
Efficient distributional reinforcement learning with Kullback-Leibler divergence regularization. Appl. Intell. 53(21): 24847-24863 (2023) - Neeraj Kumar Sharma, Subodh Kumar, Naveen Kumar:
HGSmark: An efficient ECG watermarking scheme using hunger games search and Bayesian regularization BPNN. Biomed. Signal Process. Control. 83: 104633 (2023) - Xueshuang Ma, Shenglong Hu, Jie Wang:
Efficient low-rank regularization-based algorithms combining advanced techniques for solving tensor completion problems with application to color image recovering. J. Comput. Appl. Math. 423: 114947 (2023) - Jinwei Xing, Takashi Nagata, Xinyun Zou, Emre Neftci, Jeffrey L. Krichmar:
Achieving efficient interpretability of reinforcement learning via policy distillation and selective input gradient regularization. Neural Networks 161: 228-241 (2023) - Tian Xie, Rajgopal Kannan, C.-C. Jay Kuo:
Label Efficient Regularization and Propagation for Graph Node Classification. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 14856-14871 (2023) - Hermes H. Ferreira, Eduardo Simoes Lopes Gastal:
Efficient 2D Tikhonov smoothness regularization with recursive filtering. Pattern Recognit. Lett. 175: 95-103 (2023) - Jiaxing Sun, Xiaobo Shen, Quansen Sun:
Efficient Feature Reconstruction via l2,1-Norm Regularization for Few-Shot Classification. IEEE Trans. Circuits Syst. Video Technol. 33(12): 7452-7465 (2023) - Yizhe Xu, Liangliang Yan, Jie Jiang:
EI-HCR: An Efficient End-to-End Hybrid Consistency Regularization Algorithm for Semisupervised Remote Sensing Image Segmentation. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023) - Kunyao Chen, Fei Yin, Bang Du, Baichuan Wu, Truong Q. Nguyen:
Efficient Registration for Human Surfaces via Isometric Regularization on Embedded Deformation. IEEE Trans. Vis. Comput. Graph. 29(12): 5020-5032 (2023) - Jiahui Fan, Beibei Wang, Wenshi Wu, Milos Hasan, Jian Yang, Ling-Qi Yan:
Efficient Specular Glints Rendering With Differentiable Regularization. IEEE Trans. Vis. Comput. Graph. 29(6): 2940-2949 (2023) - Junpeng Zhang, Yue Ju, Bo Wahlberg, Biqiang Mu, Tianshi Chen:
An Efficient Implementation for Bayesian Manifold Regularization Method. CDC 2023: 6223-6228 - Zhihao Liang, Zhangjin Huang, Changxing Ding, Kui Jia:
HelixSurf: A Robust and Efficient Neural Implicit Surface Learning of Indoor Scenes with Iterative Intertwined Regularization. CVPR 2023: 13165-13174 - Junha Song, Jungsoo Lee, In So Kweon, Sungha Choi:
EcoTTA: Memory-Efficient Continual Test-Time Adaptation via Self-Distilled Regularization. CVPR 2023: 11920-11929 - Biao Zhang, Barry Haddow, Rico Sennrich:
Efficient CTC Regularization via Coarse Labels for End-to-End Speech Translation. EACL 2023: 2256-2268 - Ronak Mehta, Jeffery Kline, Vishnu Suresh Lokhande, Glenn Fung, Vikas Singh:
Efficient Discrete Multi Marginal Optimal Transport Regularization. ICLR 2023 - Ryo Karakida, Tomoumi Takase, Tomohiro Hayase, Kazuki Osawa:
Understanding Gradient Regularization in Deep Learning: Efficient Finite-Difference Computation and Implicit Bias. ICML 2023: 15809-15827 - Xujing Li, Min Liu, Sheng Sun, Yuwei Wang, Hui Jiang, Xuefeng Jiang:
FedTrip: A Resource-Efficient Federated Learning Method with Triplet Regularization. IPDPS 2023: 809-819 - Vladimir Feinberg, Xinyi Chen, Y. Jennifer Sun, Rohan Anil, Elad Hazan:
Sketchy: Memory-efficient Adaptive Regularization with Frequent Directions. NeurIPS 2023 - Yao Ni, Piotr Koniusz:
NICE: NoIse-modulated Consistency rEgularization for Data-Efficient GANs. NeurIPS 2023 - Zhenqian Shen, Hansi Yang, Yong Li, James T. Kwok, Quanming Yao:
Efficient Hyper-parameter Optimization with Cubic Regularization. NeurIPS 2023 - Vladimir Feinberg, Xinyi Chen, Y. Jennifer Sun, Rohan Anil, Elad Hazan:
Sketchy: Memory-efficient Adaptive Regularization with Frequent Directions. CoRR abs/2302.03764 (2023) - Biao Zhang, Barry Haddow, Rico Sennrich:
Efficient CTC Regularization via Coarse Labels for End-to-End Speech Translation. CoRR abs/2302.10871 (2023) - Zhihao Liang, Zhangjin Huang, Changxing Ding, Kui Jia:
HelixSurf: A Robust and Efficient Neural Implicit Surface Learning of Indoor Scenes with Iterative Intertwined Regularization. CoRR abs/2302.14340 (2023) - Junha Song, Jungsoo Lee, In So Kweon, Sungha Choi:
EcoTTA: Memory-Efficient Continual Test-time Adaptation via Self-distilled Regularization. CoRR abs/2303.01904 (2023) - Xujing Li, Min Liu, Sheng Sun, Yuwei Wang, Hui Jiang, Xuefeng Jiang:
FedTrip: A Resource-Efficient Federated Learning Method with Triplet Regularization. CoRR abs/2304.05824 (2023)
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