1 code implementation • 17 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?
Ranked #1 on Intrusion Detection on CIC-DDoS
1 code implementation • 7 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?
1 code implementation • 17 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.
1 code implementation • 8 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.
1 code implementation • IJCAI 2021 • Arjit Jain, Pranay Reddy Samala, Preethi Jyothi, Deepak Mittal, Maneesh Singh
The original algorithm relies on computationally expensive data augmentation steps that involve perturbing the raw images and computing features for each perturbed image.
Image Augmentation Semi Supervised Learning for Image Captioning
no code implementations • 30 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.