Trishul Chilimbi

According to our database, Trishul Chilimbi authored at least 22 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

VidLA: Video-Language Alignment at Scale.

Mamshad Nayeem Rizve, Fan Fei, Jayakrishnan Unnikrishnan, Son Tran, Benjamin Z. Yao, Belinda Zeng, Mubarak Shah, Trishul Chilimbi

CoRR, 2024

Robust Multi-Task Learning with Excess Risks.

Yifei He, Shiji Zhou, Guojun Zhang, Hyokun Yun, Yi Xu, Belinda Zeng, Trishul Chilimbi, Han Zhao

CoRR, 2024

2023

Web-Scale Semantic Product Search with Large Language Models.

Aashiq Muhamed, Sriram Srinivasan, Choon Hui Teo, Qingjun Cui, Belinda Zeng, Trishul Chilimbi, S. V. N. Vishwanathan

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Graph-Aware Language Model Pre-Training on a Large Graph Corpus Can Help Multiple Graph Applications.

Han Xie, Da Zheng, Jun Ma, Houyu Zhang, Vassilis N. Ioannidis, Xiang Song, Qing Ping, Sheng Wang, Carl Yang, Yi Xu, Belinda Zeng, Trishul Chilimbi

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

OssCSE: Overcoming Surface Structure Bias in Contrastive Learning for Unsupervised Sentence Embedding.

Zhan Shi, Guoyin Wang, Ke Bai, Jiwei Li, Xiang Li, Qingjun Cui, Belinda Zeng, Trishul Chilimbi, Xiaodan Zhu

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

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

Qian Jiang, Changyou Chen, Han Zhao, Liqun Chen, Qing Ping, Son Dinh Tran, Yi Xu, Belinda Zeng, Trishul Chilimbi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

SST: Semantic and Structural Transformers for Hierarchy-aware Language Models in E-commerce.

Karan Samel, Houyu Zhang, Jun Ma, Haoming Jiang, Qing Ping, Sheng Wang, Yi Xu, Belinda Zeng, Trishul Chilimbi

Proceedings of the IEEE International Conference on Big Data, 2023

ReAugKD: Retrieval-Augmented Knowledge Distillation For Pre-trained Language Models.

Jianyi Zhang, Aashiq Muhamed, Aditya Anantharaman, Guoyin Wang, Changyou Chen, Kai Zhong, Qingjun Cui, Yi Xu, Belinda Zeng, Trishul Chilimbi, Yiran Chen

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

2022

MiCS: Near-linear Scaling for Training Gigantic Model on Public Cloud.

Zhen Zhang, Shuai Zheng, Yida Wang, Justin Chiu, George Karypis, Trishul Chilimbi, Mu Li, Xin Jin

Proc. VLDB Endow., 2022

SMILE: Scaling Mixture-of-Experts with Efficient Bi-level Routing.

Chaoyang He, Shuai Zheng, Aston Zhang, George Karypis, Trishul Chilimbi, Mahdi Soltanolkotabi, Salman Avestimehr

CoRR, 2022

Efficient and effective training of language and graph neural network models.

Vassilis N. Ioannidis, Xiang Song, Da Zheng, Houyu Zhang, Jun Ma, Yi Xu, Belinda Zeng, Trishul Chilimbi, George Karypis

CoRR, 2022

DynaMaR: Dynamic Prompt with Mask Token Representation.

Xiaodi Sun, Sunny Rajagopalan, Priyanka Nigam, Weiyi Lu, Yi Xu, Belinda Zeng, Trishul Chilimbi

CoRR, 2022

DCAF-BERT: A Distilled Cachable Adaptable Factorized Model For Improved Ads CTR Prediction.

Aashiq Muhamed, Jaspreet Singh, Shuai Zheng, Iman Keivanloo, Sujan Perera, James Mracek, Yi Xu, Qingjun Cui, Santosh Rajagopalan, Belinda Zeng, Trishul Chilimbi

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

Why do We Need Large Batchsizes in Contrastive Learning? A Gradient-Bias Perspective.

Changyou Chen, Jianyi Zhang, Yi Xu, Liqun Chen, Jiali Duan, Yiran Chen, Son Tran, Belinda Zeng, Trishul Chilimbi

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Asynchronous Convergence in Multi-Task Learning via Knowledge Distillation from Converged Tasks.

Weiyi Lu, Sunny Rajagopalan, Priyanka Nigam, Jaspreet Singh, Xiaodi Sun, Yi Xu, Belinda Zeng, Trishul Chilimbi

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track, 2022

DynaMaR: Dynamic Prompt with Mask Token Representation.

Xiaodi Sun, Sunny Rajagopalan, Priyanka Nigam, Weiyi Lu, Yi Xu, Iman Keivanloo, Belinda Zeng, Trishul Chilimbi

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: EMNLP 2022 - Industry Track, Abu Dhabi, UAE, December 7, 2022

Vision-Language Pre-Training with Triple Contrastive Learning.

Jinyu Yang, Jiali Duan, Son Tran, Yi Xu, Sampath Chanda, Liqun Chen, Belinda Zeng, Trishul Chilimbi, Junzhou Huang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Multi-modal Alignment using Representation Codebook.

Jiali Duan, Liqun Chen, Son Tran, Jinyu Yang, Yi Xu, Belinda Zeng, Trishul Chilimbi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

MICO: Selective Search with Mutual Information Co-training.

Zhanyu Wang, Xiao Zhang, Hyokun Yun, Choon Hui Teo, Trishul Chilimbi

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021

Magic Pyramid: Accelerating Inference with Early Exiting and Token Pruning.

Xuanli He, Iman Keivanloo, Yi Xu, Xiang He, Belinda Zeng, Santosh Rajagopalan, Trishul Chilimbi

CoRR, 2021

MLIM: Vision-and-Language Model Pre-training with Masked Language and Image Modeling.

Tarik Arici, Mehmet Saygin Seyfioglu, Tal Neiman, Yi Xu, Son Tran, Trishul Chilimbi, Belinda Zeng, Ismail B. Tutar

CoRR, 2021

2020

Tiering as a Stochastic Submodular Optimization Problem.

Hyokun Yun, Michael Froh, Roshan Makhijani, Brian Luc, Alex Smola, Trishul Chilimbi

CoRR, 2020