13 citations · 18 across the 4 of their papers we have counts for
4 papers
AQuA: A Benchmarking Tool for Label Quality Assessment
Mononito Goswami, Vedant Sanil, Arjun Choudhry +3
Machine learning (ML) models are only as good as the data they are trained on. But recent studies have found datasets widely used to train and evaluate ML models, e.g. ImageNet, to…
Graph Anomaly Detection with Unsupervised GNNs
Lingxiao Zhao, Saurabh Sawlani, Arvind Srinivasan +1
Graph-based anomaly detection finds numerous applications in the real-world. Thus, there exists extensive literature on the topic that has recently shifted toward deep detection mo…
Graph Based Temporal Aggregation for Video Retrieval
Arvind Srinivasan, Aprameya Bharadwaj, Aveek Saha +1
Large scale video retrieval is a field of study with a lot of ongoing research. Most of the work in the field is on video retrieval through text queries using techniques such as VS…
Optimization of Image Embeddings for Few Shot Learning
Arvind Srinivasan, Aprameya Bharadwaj, Manasa Sathyan +1
In this paper we improve the image embeddings generated in the graph neural network solution for few shot learning. We propose alternate architectures for existing networks such as…