Search Results for author: Arjit Jain

Found 6 papers, 5 papers with code

SpliceOut: A Simple and Efficient Audio Augmentation Method

no code implementations30 Sep 2021 Arjit Jain, Pranay Reddy Samala, Deepak Mittal, Preethi Jyoti, Maneesh Singh

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 of SpecAugment.

Audio Classification Automatic Speech Recognition +5

MemStream: Memory-Based Streaming Anomaly Detection

1 code implementation7 Jun 2021 Siddharth Bhatia, Arjit Jain, Shivin Srivastava, Kenji Kawaguchi, Bryan Hooi

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

Denoising Unsupervised Anomaly Detection

Deep Indexed Active Learning for Matching Heterogeneous Entity Representations

1 code implementation8 Apr 2021 Arjit Jain, Sunita Sarawagi, Prithviraj Sen

We propose DIAL, a scalable active learning approach that jointly learns embeddings to maximize recall for blocking and accuracy for matching blocked pairs.

Active Learning Blocking +1

ExGAN: Adversarial Generation of Extreme Samples

1 code implementation17 Sep 2020 Siddharth Bhatia, Arjit Jain, Bryan Hooi

Hence, in this work, we propose ExGAN, a GAN-based approach to generate realistic and extreme samples.

Extreme Sample Generation

MSTREAM: Fast Anomaly Detection in Multi-Aspect Streams

1 code implementation17 Sep 2020 Siddharth Bhatia, Arjit Jain, Pan Li, Ritesh Kumar, Bryan Hooi

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?

Group Anomaly Detection Intrusion Detection

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