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cs.LG2022
Learning Label Modular Prompts for Text Classification in the Wild
Hailin Chen, Amrita Saha, Shafiq Joty +1
Machine learning models usually assume i.i.d data during training and testing, but data and tasks in real world often change over time. To emulate the transient nature of real worl…
cs.CL2022★ 2 cited
Vector-Quantized Input-Contextualized Soft Prompts for Natural Language Understanding
Rishabh Bhardwaj, Amrita Saha, Steven C. H. Hoi +1
Prompt Tuning has been largely successful as a parameter-efficient method of conditioning large-scale pre-trained language models to perform downstream tasks. Thus far, soft prompt…
cs.IR2022★ 25 cited
Mining Root Cause Knowledge from Cloud Service Incident Investigations for AIOps
Amrita Saha, Steven C. H. Hoi
Root Cause Analysis (RCA) of any service-disrupting incident is one of the most critical as well as complex tasks in IT processes, especially for cloud industry leaders like Salesf…