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CompeteSMoE - Effective Training of Sparse Mixture of Experts via Competition.

Q. Pham, G. Do, H. Nguyen, T. Nguyen, C. Liu, M. Sartipi, B. Nguyen, S. Ramasamy, X. Li, S. Hoi, and N. Ho. CoRR, (2024)

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A Cognitive Ensemble of Extreme Learning Machines for Steganalysis Based on Risk-Sensitive Hinge Loss Function.V. Sachnev, S. Ramasamy, S. Suresh, H. Kim, and H. Hwang. Cogn. Comput., 7 (1): 103-110 (2015)Meta-neuron learning based spiking neural classifier with time-varying weight model for credit scoring problem.A. Jeyasothy, S. Ramasamy, and S. Sundaram. Expert Syst. Appl., (2021)An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series.A. Garg, W. Zhang, J. Samaran, S. Ramasamy, and C. Foo. CoRR, (2021)Fast classification of small X-ray diffraction datasets using data augmentation and deep neural networks.F. Oviedo, Z. Ren, S. Sun, C. Settens, Z. Liu, N. Hartono, R. Savitha, B. DeCost, S. Tian, G. Romano and 2 other author(s). CoRR, (2018)Graph Convolutional Neural Networks for Polymers Property Prediction.M. Zeng, J. Kumar, Z. Zeng, R. Savitha, V. Chandrasekhar, and K. Hippalgaonkar. CoRR, (2018)PaRT: Parallel Learning Towards Robust and Transparent AI.M. Paknezhad, H. Rengarajan, C. Yuan, S. Suresh, M. Gupta, S. Ramasamy, and H. Lee. CoRR, (2022)Class-incremental Learning for Time Series: Benchmark and Evaluation.Z. Qiao, Q. Pham, Z. Cao, H. Le, P. Suganthan, X. Jiang, and S. Ramasamy. CoRR, (2024)A meta-cognitive interval type-2 fuzzy inference system and its projection based learning algorithm.K. Subramanian, A. Das, S. Sundaram, and S. Ramasamy. Evol. Syst., 5 (4): 219-230 (2014)Fast Prototyping a Dialogue Comprehension System for Nurse-Patient Conversations on Symptom Monitoring.Z. Liu, J. Lim, N. Sahimi, S. Tong, S. Ong, A. Ng, S. Guang, M. Macdonald, S. Ramasamy, P. Krishnaswamy and 2 other author(s). NAACL-HLT (2), page 24-31. Association for Computational Linguistics, (2019)Comprehensive study of features for subject-independent emotion recognition.A. Ashutosh, R. Savitha, and S. Sundaram. IJCNN, page 3114-3121. IEEE, (2017)

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Disambiguation of "Ramasamy, Savitha"

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CompeteSMoE - Effective Training of Sparse Mixture of Experts via Competition.

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Disambiguation of "Ramasamy, Savitha"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML CompeteSMoE - Effective Training of Sparse Mixture of Experts via Competition.

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CompeteSMoE - Effective Training of Sparse Mixture of Experts via Competition.