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Saket Dingliwal
Saket Dingliwal
Applied Scientist, AWS AI Labs
Verified email at amazon.com
Title
Cited by
Cited by
Year
Rethinking the role of scale for in-context learning: An interpretability-based case study at 66 billion scale
H Bansal, K Gopalakrishnan, S Dingliwal, S Bodapati, K Kirchhoff, D Roth
arXiv preprint arXiv:2212.09095, 2022
232022
Abstractive summarization of spoken and written conversation
P Ganesh, S Dingliwal
arXiv preprint arXiv:1902.01615, 2019
20*2019
Personalization of ctc speech recognition models
S Dingliwal, M Sunkara, S Ronanki, J Farris, K Kirchhoff, S Bodapati
2022 IEEE Spoken Language Technology Workshop (SLT), 302-309, 2023
182023
Domain prompts: Towards memory and compute efficient domain adaptation of asr systems
S Dingliwa, A Shenoy, S Bodapati, A Gandhe, RT Gadde, K Kirchhoff
18*2022
Few shot dialogue state tracking using meta-learning
S Dingliwal, B Gao, S Agarwal, CW Lin, T Chung, D Hakkani-Tur
arXiv preprint arXiv:2101.06779, 2021
172021
Robust handwriting recognition with limited and noisy data
H Pham, A Setlur, S Dingliwal, TH Lin, B Póczos, K Huang, Z Li, J Lim, ...
2020 17th International conference on frontiers in handwriting recognition …, 2020
122020
Don’t stop self-supervision: Accent adaptation of speech representations via residual adapters
A Bhatia, S Sinha, S Dingliwal, K Gopalakrishnan, S Bodapati, K Kirchhoff
22023
Literature Survey on Finding Influential Communities in Large Scale Networks
P Ganesh, S Dingliwal, R Agarwal
arXiv preprint arXiv:1902.01629, 2019
22019
Multilingual contextual adapters to improve custom word recognition in low-resource languages
D Kulshreshtha, S Dingliwal, B Houston, S Bodapati
arXiv preprint arXiv:2307.00759, 2023
12023
CVC4-SymBreak: derived SMT solver at SMT competition 2019
S Dingliwal, R Agarwal, H Mittal, P Singla
CoRR, abs/1908.00860, 2019
12019
Retrieve and copy: Scaling ASR personalization to large catalogs
SM Jayanthi, D Kulshreshtha, S Dingliwal, S Ronanki, S Bodapati
arXiv preprint arXiv:2311.08402, 2023
2023
Towards Personalization of CTC Speech Recognition Models with Contextual Adapters and Adaptive Boosting
S Dingliwal, M Sunkara, S Bodapati, S Ronanki, J Farris, K Kirchhoff
arXiv preprint arXiv:2210.09510, 2022
2022
Covariate Distribution Aware Meta-learning
A Setlur, S Dingliwal, B Poczos
arXiv preprint arXiv:2007.02523, 2020
2020
Property Inference in ReLU nets using Linear Interpolants
D Pareek, S Dingliwal, J Arora
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