Rahil Parikh | DeepAI

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∙ 05/19/2023

Controlling the Extraction of Memorized Data from Large Language Models via Prompt-Tuning

Large Language Models (LLMs) are known to memorize significant portions ...

0 Mustafa Safa Ozdayi, et al. ∙

∙ 06/27/2022

Impact of Acoustic Event Tagging on Scene Classification in a Multi-Task Learning Framework

Acoustic events are sounds with well-defined spectro-temporal characteri...

2 Rahil Parikh, et al. ∙

∙ 06/20/2022

An Empirical Analysis on the Vulnerabilities of End-to-End Speech Segregation Models

End-to-end learning models have demonstrated a remarkable capability in ...

9 Rahil Parikh, et al. ∙

∙ 03/25/2022

Canary Extraction in Natural Language Understanding Models

Natural Language Understanding (NLU) models can be trained on sensitive ...

5 Rahil Parikh, et al. ∙

∙ 03/11/2022

Acoustic To Articulatory Speech Inversion Using Multi-Resolution Spectro-Temporal Representations Of Speech Signals

Multi-resolution spectro-temporal features of a speech signal represent ...

0 Rahil Parikh, et al. ∙

∙ 03/08/2022

Harmonicity Plays a Critical Role in DNN Based Versus in Biologically-Inspired Monaural Speech Segregation Systems

Recent advancements in deep learning have led to drastic improvements in...

13 Rahil Parikh, et al. ∙

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