4 papers
FlowTrain: Flow-Based Decoupled Training for Industrial-Grade Vision-Language Models
Zhida Jiang, Zhaolong Xing, Yang Pei +14
Industrial-grade distributed training of vision-language models (VLMs) remains far less efficient than that of unimodal LLMs. Existing solutions either follow a monolithic design t…
Single-User Injection for Invisible Shilling Attack against Recommender Systems
Chengzhi Huang, Hui Li
Recommendation systems (RS) are crucial for alleviating the information overload problem. Due to its pivotal role in guiding users to make decisions, unscrupulous parties are lured…
Challenges and Solutions to Build a Data Pipeline to Identify Anomalies in Enterprise System Performance
Xiaobo Huang, Amitabha Banerjee, Chien-Chia Chen +4
We discuss how VMware is solving the following challenges to harness data to operate our ML-based anomaly detection system to detect performance issues in our Software Defined Data…
Zero-Shot Language Transfer vs Iterative Back Translation for Unsupervised Machine Translation
Aviral Joshi, Chengzhi Huang, Har Simrat Singh
This work focuses on comparing different solutions for machine translation on low resource language pairs, namely, with zero-shot transfer learning and unsupervised machine transla…