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07/03/2023
Multilingual Contextual Adapters To Improve Custom Word Recognition In Low-resource Languages
Connectionist Temporal Classification (CTC) models are popular for their...
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07/02/2023
Don't Stop Self-Supervision: Accent Adaptation of Speech Representations via Residual Adapters
Speech representations learned in a self-supervised fashion from massive...
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12/18/2022
Rethinking the Role of Scale for In-Context Learning: An Interpretability-based Case Study at 66 Billion Scale
Language models have been shown to perform better with an increase in sc...
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10/18/2022
Personalization of CTC Speech Recognition Models
End-to-end speech recognition models trained using joint Connectionist T...
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12/16/2021
Domain Prompts: Towards memory and compute efficient domain adaptation of ASR systems
Automatic Speech Recognition (ASR) systems have found their use in numer...
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10/13/2021
Efficient domain adaptation of language models in ASR systems using Prompt-tuning
Automatic Speech Recognition (ASR) systems have found their use in numer...
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01/17/2021
Few Shot Dialogue State Tracking using Meta-learning
Dialogue State Tracking (DST) forms a core component of automated chatbo...
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08/18/2020
Robust Handwriting Recognition with Limited and Noisy Data
Despite the advent of deep learning in computer vision, the general hand...
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07/06/2020
Covariate Distribution Aware Meta-learning
Meta-learning has proven to be successful at few-shot learning across th...
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03/09/2020
Finding Input Characterizations for Output Properties in ReLU Neural Networks
Deep Neural Networks (DNNs) have emerged as a powerful mechanism and are...
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08/02/2019
CVC4-SymBreak: Derived SMT solver at SMT Competition 2019
We present CVC4-SymBreak, a derived SMT solver based on CVC4, and a non-...
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02/05/2019