25 citations · 59 across the 5 of their papers we have counts for
7 papers
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…
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…
Merlion: A Machine Learning Library for Time Series
Aadyot Bhatnagar, Paul Kassianik, Chenghao Liu +20
We introduce Merlion, an open-source machine learning library for time series. It features a unified interface for many commonly used models and datasets for anomaly detection and…
Weakly Supervised Neuro-Symbolic Module Networks for Numerical Reasoning
Amrita Saha, Shafiq Joty, Steven C. H. Hoi
Neural Module Networks (NMNs) have been quite successful in incorporating explicit reasoning as learnable modules in various question answering tasks, including the most generic fo…
Scene Graph based Image Retrieval -- A case study on the CLEVR Dataset
Sahana Ramnath, Amrita Saha, Soumen Chakrabarti +1
With the prolification of multimodal interaction in various domains, recently there has been much interest in text based image retrieval in the computer vision community. However m…
DuoRC: Towards Complex Language Understanding with Paraphrased Reading Comprehension
Amrita Saha, Rahul Aralikatte, Mitesh M. Khapra +1
We propose DuoRC, a novel dataset for Reading Comprehension (RC) that motivates several new challenges for neural approaches in language understanding beyond those offered by exist…