Gaurav Srivastava

11 papers A* 2C 1Misc 2Journal 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
An Industrial-Scale Sequential Recommender for LinkedIn Feed Ranking.
CoRR
Lars Hertel, Gaurav Srivastava, Syed Ali Naqvi, Satyam Kumar, Yue Zhang, Borja Ocejo, Benjamin Zelditch, Adrian Englhardt, Hailing Cheng, Andy Hu, Antonio Alonso, Daming Li, Siddharth Dangi, Chen Zhu, Mingzhou Zhou, Wanning Li, Tao Huang, Fedor Borisyuk, Ganesh Parameswaran, Birjodh Singh Tiwana, Sriram Sankar, Qing Lan, Julie Choi, Souvik Ghosh
2024 A* conf
LiMAML: Personalization of Deep Recommender Models via Meta Learning.
KDD
Ruofan Wang, Prakruthi Prabhakar, Gaurav Srivastava, Tianqi Wang, Zeinab S. Jalali, Varun Bharill, Yunbo Ouyang, Aastha Nigam, Divya Venugopalan, Aman Gupta, Fedor Borisyuk, S. Sathiya Keerthi, Ajith Muralidharan
2024 J jnl
LiMAML: Personalization of Deep Recommender Models via Meta Learning.
CoRR
Ruofan Wang, Prakruthi Prabhakar, Gaurav Srivastava, Tianqi Wang, Zeinab S. Jalali, Varun Bharill, Yunbo Ouyang, Aastha Nigam, Divya Venugopalan, Aman Gupta, Fedor Borisyuk, Sathiya Keerthi Selvaraj, Ajith Muralidharan
2022 J jnl
Training and challenging models for text-guided fashion image retrieval.
CoRR
Eric Dodds, Jack Culpepper, Gaurav Srivastava
2021 A* conf
VisualTextRank: Unsupervised Graph-based Content Extraction for Automating Ad Text to Image Search.
KDD
Shaunak Mishra, Mikhail Kuznetsov, Gaurav Srivastava, Maxim Sviridenko
2021 J jnl
VisualTextRank: Unsupervised Graph-based Content Extraction for Automating Ad Text to Image Search.
CoRR
Shaunak Mishra, Mikhail Kuznetsov, Gaurav Srivastava, Maxim Sviridenko
2020 J jnl
ECG Authentication Hardware Design With Low-Power Signal Processing and Neural Network Optimization With Low Precision and Structured Compression.
IEEE Trans. Biomed. Circuits Syst.
Sai Kiran Cherupally, Shihui Yin, Deepak Kadetotad, Gaurav Srivastava, ChiSung Bae, Sang Joon Kim, Jae-sun Seo
2019 C conf
ECG Authentication Neural Network Hardware Design with Collective Optimization of Low Precision and Structured Compression.
ISCAS
Sai Kiran Cherupally, Gaurav Srivastava, Shihui Yin, Deepak Kadetotad, ChiSung Bae, Sang Joon Kim, Jae-sun Seo
2019 Misc conf
Joint Optimization of Quantization and Structured Sparsity for Compressed Deep Neural Networks.
ICASSP
Gaurav Srivastava, Deepak Kadetotad, Shihui Yin, Visar Berisha, Chaitali Chakrabarti, Jae-sun Seo
2018 J jnl
Minimizing Area and Energy of Deep Learning Hardware Design Using Collective Low Precision and Structured Compression.
CoRR
Shihui Yin, Gaurav Srivastava, Shreyas K. Venkataramanaiah, Chaitali Chakrabarti, Visar Berisha, Jae-sun Seo
2017 Misc conf
Minimizing area and energy of deep learning hardware design using collective low precision and structured compression.
ACSSC
Shihui Yin, Gaurav Srivastava, Shreyas K. Venkataramanaiah, Chaitali Chakrabarti, Visar Berisha, Jae-sun Seo