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Understanding and Constructing Latent Modality Structures in Multi-Modal Representation Learning.

Q. Jiang, C. Chen, H. Zhao, L. Chen, Q. Ping, S. Tran, Y. Xu, B. Zeng, and T. Chilimbi. CVPR, page 7661-7671. IEEE, (2023)

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Asynchronous Convergence in Multi-Task Learning via Knowledge Distillation from Converged Tasks.W. Lu, S. Rajagopalan, P. Nigam, J. Singh, X. Sun, Y. Xu, B. Zeng, and T. Chilimbi. NAACL-HLT (Industry Papers), page 149-159. Association for Computational Linguistics, (2022)Understanding and Constructing Latent Modality Structures in Multi-Modal Representation Learning.Q. Jiang, C. Chen, H. Zhao, L. Chen, Q. Ping, S. Tran, Y. Xu, B. Zeng, and T. Chilimbi. CVPR, page 7661-7671. IEEE, (2023)Tiering as a Stochastic Submodular Optimization Problem.H. Yun, M. Froh, R. Makhijani, B. Luc, A. Smola, and T. Chilimbi. CoRR, (2020)VidLA: Video-Language Alignment at Scale.M. Rizve, F. Fei, J. Unnikrishnan, S. Tran, B. Yao, B. Zeng, M. Shah, and T. Chilimbi. CoRR, (2024)DCAF-BERT: A Distilled Cachable Adaptable Factorized Model For Improved Ads CTR Prediction.A. Muhamed, J. Singh, S. Zheng, I. Keivanloo, S. Perera, J. Mracek, Y. Xu, Q. Cui, S. Rajagopalan, B. Zeng and 1 other author(s). WWW (Companion Volume), page 110-115. ACM, (2022)Multi-modal Alignment using Representation Codebook.J. Duan, L. Chen, S. Tran, J. Yang, Y. Xu, B. Zeng, and T. Chilimbi. CVPR, page 15630-15639. IEEE, (2022)MICO: Selective Search with Mutual Information Co-training.Z. Wang, X. Zhang, H. Yun, C. Teo, and T. Chilimbi. COLING, page 1179-1192. International Committee on Computational Linguistics, (2022)SMILE: Scaling Mixture-of-Experts with Efficient Bi-level Routing.C. He, S. Zheng, A. Zhang, G. Karypis, T. Chilimbi, M. Soltanolkotabi, and S. Avestimehr. CoRR, (2022)Graph-Aware Language Model Pre-Training on a Large Graph Corpus Can Help Multiple Graph Applications.H. Xie, D. Zheng, J. Ma, H. Zhang, V. Ioannidis, X. Song, Q. Ping, S. Wang, C. Yang, Y. Xu and 2 other author(s). KDD, page 5270-5281. ACM, (2023)OssCSE: Overcoming Surface Structure Bias in Contrastive Learning for Unsupervised Sentence Embedding.Z. Shi, G. Wang, K. Bai, J. Li, X. Li, Q. Cui, B. Zeng, T. Chilimbi, and X. Zhu. EMNLP, page 7242-7254. Association for Computational Linguistics, (2023)

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Understanding and Constructing Latent Modality Structures in Multi-Modal Representation Learning.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Understanding and Constructing Latent Modality Structures in Multi-Modal Representation Learning.

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Understanding and Constructing Latent Modality Structures in Multi-Modal Representation Learning.