16 citations · 41 across the 8 of their papers we have counts for
8 papers
Vernacular Search Query Translation with Unsupervised Domain Adaptation
Mandar Kulkarni, Nikesh Garera
With the democratization of e-commerce platforms, an increasingly diversified user base is opting to shop online. To provide a comfortable and reliable shopping experience, it's im…
Soft Attention Convolutional Neural Networks for Rare Event Detection in Sequences
Mandar Kulkarni, Aria Abubakar
Automated event detection in the sequences is an important aspect of temporal data analytics. The events can be in the form of peaks, changes in data distribution, changes of spect…
Deep Q learning for fooling neural networks
Mandar Kulkarni
Deep learning models are vulnerable to external attacks. In this paper, we propose a Reinforcement Learning (RL) based approach to generate adversarial examples for the pre-trained…
Siamese networks for generating adversarial examples
Mandar Kulkarni, Aria Abubakar
Machine learning models are vulnerable to adversarial examples. An adversary modifies the input data such that humans still assign the same label, however, machine learning models…
Knowledge distillation using unlabeled mismatched images
Mandar Kulkarni, Kalpesh Patil, Shirish Karande
Current approaches for Knowledge Distillation (KD) either directly use training data or sample from the training data distribution. In this paper, we demonstrate effectiveness of '…
Layer-wise training of deep networks using kernel similarity
Mandar Kulkarni, Shirish Karande
Deep learning has shown promising results in many machine learning applications. The hierarchical feature representation built by deep networks enable compact and precise encoding…