78 citations · 115 across the 10 of their papers we have counts for
11 papers
Adaptive Discounting of Implicit Language Models in RNN-Transducers
Vinit Unni, Shreya Khare, Ashish Mittal +3
RNN-Transducer (RNN-T) models have become synonymous with streaming end-to-end ASR systems. While they perform competitively on a number of evaluation categories, rare words pose a…
Representation based meta-learning for few-shot spoken intent recognition
Ashish Mittal, Samarth Bharadwaj, Shreya Khare +3
Spoken intent detection has become a popular approach to interface with various smart devices with ease. However, such systems are limited to the preset list of intents-terms or co…
Multilingual and code-switching ASR challenges for low resource Indian languages
Anuj Diwan, Rakesh Vaideeswaran, Sanket Shah +19
Recently, there is increasing interest in multilingual automatic speech recognition (ASR) where a speech recognition system caters to multiple low resource languages by taking adva…
Adversarial Black-Box Attacks On Text Classifiers Using Multi-Objective Genetic Optimization Guided By Deep Networks
Alex Mathai, Shreya Khare, Srikanth Tamilselvam +1
We propose a novel genetic-algorithm technique that generates black-box adversarial examples which successfully fool neural network based text classifiers. We perform a genetic sea…
Benchmarking Popular Classification Models' Robustness to Random and Targeted Corruptions
Utkarsh Desai, Srikanth Tamilselvam, Jassimran Kaur +2
Text classification models, especially neural networks based models, have reached very high accuracy on many popular benchmark datasets. Yet, such models when deployed in real worl…
A Visual Programming Paradigm for Abstract Deep Learning Model Development
Srikanth Tamilselvam, Naveen Panwar, Shreya Khare +3
Deep learning is one of the fastest growing technologies in computer science with a plethora of applications. But this unprecedented growth has so far been limited to the consumpti…
Adversarial Black-Box Attacks on Automatic Speech Recognition Systems using Multi-Objective Evolutionary Optimization
Shreya Khare, Rahul Aralikatte, Senthil Mani
Fooling deep neural networks with adversarial input have exposed a significant vulnerability in the current state-of-the-art systems in multiple domains. Both black-box and white-b…
DLPaper2Code: Auto-generation of Code from Deep Learning Research Papers
Akshay Sethi, Anush Sankaran, Naveen Panwar +2
With an abundance of research papers in deep learning, reproducibility or adoption of the existing works becomes a challenge. This is due to the lack of open source implementations…
Hi, how can I help you?: Automating enterprise IT support help desks
Senthil Mani, Neelamadhav Gantayat, Rahul Aralikatte +7
Question answering is one of the primary challenges of natural language understanding. In realizing such a system, providing complex long answers to questions is a challenging task…
mAnI: Movie Amalgamation using Neural Imitation
Naveen Panwar, Shreya Khare, Neelamadhav Gantayat +3
Cross-modal data retrieval has been the basis of various creative tasks performed by Artificial Intelligence (AI). One such highly challenging task for AI is to convert a book into…
DARVIZ: Deep Abstract Representation, Visualization, and Verification of Deep Learning Models
Anush Sankaran, Rahul Aralikatte, Senthil Mani +3
Traditional software engineering programming paradigms are mostly object or procedure oriented, driven by deterministic algorithms. With the advent of deep learning and cognitive s…