most citedMSTREAM: Fast Anomaly Detection in Multi-Aspect Streams

63 citations · 93 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SD2021

SpliceOut: A Simple and Efficient Audio Augmentation Method

Arjit Jain, Pranay Reddy Samala, Deepak Mittal +2

Time masking has become a de facto augmentation technique for speech and audio tasks, including automatic speech recognition (ASR) and audio classification, most notably as a part…

cs.LG2021★ 1 cited

MemStream: Memory-Based Streaming Anomaly Detection

Siddharth Bhatia, Arjit Jain, Shivin Srivastava +2

Given a stream of entries over time in a multi-dimensional data setting where concept drift is present, how can we detect anomalous activities? Most of the existing unsupervised an…

cs.DB2021★ 27 cited

Deep Indexed Active Learning for Matching Heterogeneous Entity Representations

Arjit Jain, Sunita Sarawagi, Prithviraj Sen

Given two large lists of records, the task in entity resolution (ER) is to find the pairs from the Cartesian product of the lists that correspond to the same real world entity. Typ…

cs.LG2020★ 2 cited

ExGAN: Adversarial Generation of Extreme Samples

Siddharth Bhatia, Arjit Jain, Bryan Hooi

Mitigating the risk arising from extreme events is a fundamental goal with many applications, such as the modelling of natural disasters, financial crashes, epidemics, and many oth…

cs.LG2020★ 63 cited

MSTREAM: Fast Anomaly Detection in Multi-Aspect Streams

Siddharth Bhatia, Arjit Jain, Pan Li +2

Given a stream of entries in a multi-aspect data setting i.e., entries having multiple dimensions, how can we detect anomalous activities in an unsupervised manner? For example, in…