Saket Dingliwal

According to our database, Saket Dingliwal authored at least 15 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Multilingual Contextual Adapters To Improve Custom Word Recognition In Low-resource Languages.

Devang Kulshreshtha, Saket Dingliwal, Brady Houston, Sravan Bodapati

CoRR, 2023

Don't Stop Self-Supervision: Accent Adaptation of Speech Representations via Residual Adapters.

Anshu Bhatia, Sanchit Sinha, Saket Dingliwal, Karthik Gopalakrishnan, Sravan Bodapati, Katrin Kirchhoff

CoRR, 2023

Retrieve and Copy: Scaling ASR Personalization to Large Catalogs.

Sai Muralidhar Jayanthi, Devang Kulshreshtha, Saket Dingliwal, Srikanth Ronanki, Sravan Bodapati

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023

Rethinking the Role of Scale for In-Context Learning: An Interpretability-based Case Study at 66 Billion Scale.

Hritik Bansal, Karthik Gopalakrishnan, Saket Dingliwal, Sravan Bodapati, Katrin Kirchhoff, Dan Roth

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Personalization of CTC Speech Recognition Models.

Saket Dingliwal, Monica Sunkara, Srikanth Ronanki, Jeff Farris, Katrin Kirchhoff, Sravan Bodapati

Proceedings of the IEEE Spoken Language Technology Workshop, 2022

Domain Prompts: Towards memory and compute efficient domain adaptation of ASR systems.

Saket Dingliwal, Ashish Shenoy, Sravan Bodapati, Ankur Gandhe, Ravi Teja Gadde, Katrin Kirchhoff

Proceedings of the Interspeech 2022, 2022

2021

Efficient domain adaptation of language models in ASR systems using Prompt-tuning.

Saket Dingliwal, Ashish Shenoy, Sravan Bodapati, Ankur Gandhe, Ravi Teja Gadde, Katrin Kirchhoff

CoRR, 2021

Few Shot Dialogue State Tracking using Meta-learning.

Saket Dingliwal, Bill Gao, Sanchit Agarwal, Chien-Wei Lin, Tagyoung Chung, Dilek Hakkani-Tür

CoRR, 2021

Few Shot Dialogue State Tracking using Meta-learning.

Saket Dingliwal, Shuyang Gao, Sanchit Agarwal, Chien-Wei Lin, Tagyoung Chung, Dilek Hakkani-Tür

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

2020

Covariate Distribution Aware Meta-learning.

Amrith Setlur, Saket Dingliwal, Barnabás Póczos

CoRR, 2020

Finding Input Characterizations for Output Properties in ReLU Neural Networks.

Saket Dingliwal, Divyansh Pareek, Jatin Arora

CoRR, 2020

Robust Handwriting Recognition with Limited and Noisy Data.

Hai Pham, Amrith Setlur, Saket Dingliwal, Tzu-Hsiang Lin, Barnabás Póczos, Kang Huang, Zhuo Li, Jae Lim, Collin McCormack, Tam Vu

Proceedings of the 17th International Conference on Frontiers in Handwriting Recognition, 2020

2019

CVC4-SymBreak: Derived SMT solver at SMT Competition 2019.

Saket Dingliwal, Ronak Agarwal, Happy Mittal, Parag Singla

CoRR, 2019

Literature Survey on Finding Influential Communities in Large Scale Networks.

Prakhar Ganesh, Saket Dingliwal, Rahul Agarwal

CoRR, 2019

Abstractive Summarization of Spoken and Written Conversation.

Prakhar Ganesh, Saket Dingliwal

CoRR, 2019