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02/21/2022
Adaptive Discounting of Implicit Language Models in RNN-Transducers
RNN-Transducer (RNN-T) models have become synonymous with streaming end-...
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06/29/2021
Representation based meta-learning for few-shot spoken intent recognition
Spoken intent detection has become a popular approach to interface with ...
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04/01/2021
Multilingual and code-switching ASR challenges for low resource Indian languages
Recently, there is increasing interest in multilingual automatic speech ...
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11/08/2020
Adversarial Black-Box Attacks On Text Classifiers Using Multi-Objective Genetic Optimization Guided By Deep Networks
We propose a novel genetic-algorithm technique that generates black-box ...
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01/31/2020
Benchmarking Popular Classification Models' Robustness to Random and Targeted Corruptions
Text classification models, especially neural networks based models, hav...
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05/07/2019
A Visual Programming Paradigm for Abstract Deep Learning Model Development
Deep learning is one of the fastest growing technologies in computer sci...
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11/04/2018
Adversarial Black-Box Attacks for Automatic Speech Recognition Systems Using Multi-Objective Genetic Optimization
Fooling deep neural networks with adversarial input have exposed a signi...
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11/09/2017
DLPaper2Code: Auto-generation of Code from Deep Learning Research Papers
With an abundance of research papers in deep learning, reproducibility o...
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11/02/2017
Hi, how can I help you?: Automating enterprise IT support help desks
Question answering is one of the primary challenges of natural language ...
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08/16/2017
mAnI: Movie Amalgamation using Neural Imitation
Cross-modal data retrieval has been the basis of various creative tasks ...
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08/16/2017
