| Vision-language pre-training with triple contrastive learning J Yang, J Duan, S Tran, Y Xu, S Chanda, L Chen, B Zeng, T Chilimbi, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 440 | 2022 |
| Multi-modal alignment using representation codebook J Duan, L Chen, S Tran, J Yang, Y Xu, B Zeng, T Chilimbi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 97 | 2022 |
| Understanding and constructing latent modality structures in multi-modal representation learning Q Jiang, C Chen, H Zhao, L Chen, Q Ping, SD Tran, Y Xu, B Zeng, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 86 | 2023 |
| Why do we need large batchsizes in contrastive learning? a gradient-bias perspective C Chen, J Zhang, Y Xu, L Chen, J Duan, Y Chen, S Tran, B Zeng, ... Advances in Neural Information Processing Systems 35, 33860-33875, 2022 | 60 | 2022 |
| CTR-BERT: Cost-effective knowledge distillation for billion-parameter teacher models A Muhamed, I Keivanloo, S Perera, J Mracek, Y Xu, Q Cui, S Rajagopalan, ... NeurIPS Efficient Natural Language and Speech Processing Workshop, 2021 | 60 | 2021 |
| Graph-aware language model pre-training on a large graph corpus can help multiple graph applications H Xie, D Zheng, J Ma, H Zhang, VN Ioannidis, X Song, Q Ping, S Wang, ... Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 56 | 2023 |
| Reaugkd: Retrieval-augmented knowledge distillation for pre-trained language models J Zhang, A Muhamed, A Anantharaman, G Wang, C Chen, K Zhong, ... The 61st Annual Meeting of the Association for Computational Linguistics 2, 2023 | 33 | 2023 |
| Simpler, faster, stronger: Breaking the log-k curse on contrastive learners with flatnce J Chen, Z Gan, X Li, Q Guo, L Chen, S Gao, T Chung, Y Xu, B Zeng, W Lu, ... arXiv preprint arXiv:2107.01152, 2021 | 28 | 2021 |
| Efficient and effective training of language and graph neural network models VN Ioannidis, X Song, D Zheng, H Zhang, J Ma, Y Xu, B Zeng, T Chilimbi, ... arXiv preprint arXiv:2206.10781, 2022 | 23 | 2022 |
| Robust multi-task learning with excess risks Y He, S Zhou, G Zhang, H Yun, Y Xu, B Zeng, T Chilimbi, H Zhao arXiv preprint arXiv:2402.02009, 2024 | 21 | 2024 |
| Magic pyramid: Accelerating inference with early exiting and token pruning X He, I Keivanloo, Y Xu, X He, B Zeng, S Rajagopalan, T Chilimbi arXiv preprint arXiv:2111.00230, 2021 | 19 | 2021 |
| Diffusion models for multi-task generative modeling C Chen, H Ding, B Sisman, Y Xu, O Xie, BZ Yao, SD Tran, B Zeng The Twelfth International Conference on Learning Representations, 2024 | 14 | 2024 |
| Web-scale semantic product search with large language models A Muhamed, S Srinivasan, CH Teo, Q Cui, B Zeng, T Chilimbi, ... Pacific-Asia Conference on Knowledge Discovery and Data Mining, 73-85, 2023 | 13 | 2023 |
| Top-down attention in end-to-end spoken language understanding Y Chen, W Lu, A Mottini, LE Li, J Droppo, Z Du, B Zeng ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 12 | 2021 |
| Vidla: Video-language alignment at scale MN Rizve, F Fei, J Unnikrishnan, S Tran, BZ Yao, B Zeng, M Shah, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 10 | 2024 |
| Diffusion models for multi-modal generative modeling C Chen, H Ding, B Sisman, Y Xu, O Xie, BZ Yao, SD Tran, B Zeng arXiv preprint arXiv:2407.17571, 2024 | 8 | 2024 |
| Mlim: Vision-and-language model pre-training with masked language and image modeling T Arici, MS Seyfioglu, T Neiman, Y Xu, S Train, T Chilimbi, B Zeng, I Tutar arXiv preprint arXiv:2109.12178, 2021 | 8 | 2021 |
| Vision-language pre-training with triple contrastive learning. 2022 IEEE J Yang, J Duan, S Tran, Y Xu, S Chanda, L Chen, B Zeng, TM Chilimbi, ... CVF Conference on Computer Vision and Pattern Recognition (CVPR), 15650-15659, 2022 | 6 | 2022 |
| 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, X Zhu Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | 5 | 2023 |
| Asynchronous convergence in multi-task learning via knowledge distillation from converged tasks W Liu, S Rajagopalan, P Nigam, J Singh, X Sun, Y Xu, B Zeng, T Chilimbi Proceedings of the 2022 conference of the North American chapter of the …, 2022 | 4 | 2022 |
