Gaurav Srivastava

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All published works

Action	Title	Year	Authors
+ PDF Chat	LiMAML: Personalization of Deep Recommender Models via Meta Learning	2024	Ruofan Wang Prakruthi Prabhakar Gaurav Srivastava T. W. Wang Zeinab S. Jalali Varun Bharill Yunbo Ouyang Aastha Nigam Divya Venugopalan Aman Gupta
+	VisualTextRank: Unsupervised Graph-based Content Extraction for Automating Ad Text to Image Search	2021	Shaunak Mishra Mikhail Kuznetsov Gaurav Srivastava Maxim Sviridenko
+	VisualTextRank: Unsupervised Graph-based Content Extraction for Automating Ad Text to Image Search	2021	Shaunak Mishra Mikhail Kuznetsov Gaurav Srivastava Maxim Sviridenko
+	Minimizing Area and Energy of Deep Learning Hardware Design Using Collective Low Precision and Structured Compression	2018	Shihui Yin Gaurav Srivastava Shreyas Kolala Venkataramanaiah Chaitali Chakrabarti Visar Berisha Jae-sun Seo
+ PDF Chat	Minimizing area and energy of deep learning hardware design using collective low precision and structured compression	2017	Shihui Yin Gaurav Srivastava Shreyas Kolala Venkataramanaiah Chaitali Chakrabarti Visar Berisha Jae-sun Seo
+	Randomized Subspace Learning Algorithms with Subspace Structure Preservation Guarantees.	2014	Devansh Arpit Gaurav Srivastava Venu Govindaraju
+	Randomized Subspace Learning with Structure Preservation	2014	Devansh Arpit Gaurav Srivastava Venu Govindaraju
+	An Analysis of Random Projections in Cancelable Biometrics	2014	Devansh Arpit Ifeoma Nwogu Gaurav Srivastava Venu Govindaraju

Common Coauthors

Coauthor	Papers Together
Venu Govindaraju	3
Devansh Arpit	3
Visar Berisha	2
Maxim Sviridenko	2
Jae-sun Seo	2
Chaitali Chakrabarti	2
Mikhail Kuznetsov	2
Shreyas Kolala Venkataramanaiah	2
Shihui Yin	2
Shaunak Mishra	2
Ajith Muralidharan	1
Yunbo Ouyang	1
Sathiya Keerthi	1
Aastha Nigam	1
Fedor Borisyuk	1
Ruofan Wang	1
Divya Venugopalan	1
Aman Gupta	1
Ifeoma Nwogu	1
Varun Bharill	1
Zeinab S. Jalali	1
T. W. Wang	1
Prakruthi Prabhakar	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Is margin preserved after random projection	2012	Qinfeng Shi Chunhua Shen Rhys Hill Anton van den Hengel	3
+ PDF Chat	Model Selection and Estimation in Regression with Grouped Variables	2005	Ming Yuan Yi Lin	2
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	2
+ PDF Chat	XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks	2016	Mohammad Rastegari Vicente Ordóñez Joseph Redmon Ali Farhadi	2
+ PDF Chat	ADVISE: Symbolism and External Knowledge for Decoding Advertisements	2018	Keren Ye Adriana Kovashka	2
+	Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1	2016	Matthieu Courbariaux Itay Hubara Daniel Soudry Ran El‐Yaniv Yoshua Bengio	2
+	Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks	2015	Shaoqing Ren Kaiming He Ross Girshick Jian Sun	2
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	2
+	DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution	2020	Siyuan Qiao Liang-Chieh Chen Alan Yuille	2
+	cuDNN: Efficient Primitives for Deep Learning	2014	Sharan Chetlur Cliff Woolley Philippe Vandermersch Jonathan Cohen John Tran Bryan Catanzaro Evan Shelhamer	2
+ PDF Chat	Automatic Understanding of Image and Video Advertisements	2017	Zaeem Hussain Mingda Zhang Xiaozhong Zhang Keren Ye Christopher Thomas Zuha Agha Nathan Ong Adriana Kovashka	1
+ PDF Chat	Sequential Scenario-Specific Meta Learner for Online Recommendation	2019	Zhengxiao Du Xiaowei Wang Hongxia Yang Jingren Zhou Jie Tang	1
+	Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks	2019	Nils Reimers Iryna Gurevych	1
+	Image Captioning: Transforming Objects into Words	2019	Simao Herdade Armin Kappeler Kofi Boakye João Carlos Virgolino Soares	1
+	Recommending Themes for Ad Creative Design via Visual-Linguistic Representations	2020	Yichao Zhou Shaunak Mishra Manisha Verma Narayan Bhamidipati Wei Wang	1
+ PDF Chat	MetaSelector: Meta-Learning for Recommendation with User-Level Adaptive Model Selection	2020	Mi Luo Fei Chen Pengxiang Cheng Zhenhua Dong Xiuqiang He Jiashi Feng Zhenguo Li	1
+ PDF Chat	Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks	2020	Xiujun Li Xi Yin Chunyuan Li Pengchuan Zhang Xiaowei Hu Lei Zhang Lijuan Wang Houdong Hu Dong Li Furu Wei	1
+ PDF Chat	DCN V2: Improved Deep & Cross Network and Practical Lessons for Web-scale Learning to Rank Systems	2021	Ruoxi Wang Rakesh Shivanna Derek Zhiyuan Cheng Sagar Jain Dong Lin Lichan Hong Ed H.	1
+ PDF Chat	Learning Graph Meta Embeddings for Cold-Start Ads in Click-Through Rate Prediction	2021	Wentao Ouyang Xiuwu Zhang Shukui Ren Li Li Kun Zhang Jinmei Luo Zhaojie Liu Yanlong Du	1
+ PDF Chat	Personalized Adaptive Meta Learning for Cold-start User Preference Prediction	2021	Runsheng Yu Yu Gong Xu He Yu Zhu Qingwen Liu Wenwu Ou Bo An	1
+ PDF Chat	Learning an Adaptive Meta Model-Generator for Incrementally Updating Recommender Systems	2021	Danni Peng Sinno Jialin Pan Jie Zhang Anxiang Zeng	1
+ PDF Chat	A Dynamic Meta-Learning Model for Time-Sensitive Cold-Start Recommendations	2022	Krishna Prasad Neupane Ervine Zheng Yu Kong Qi Yu	1
+ PDF Chat	Meta-Learning for Online Update of Recommender Systems	2022	Minseok Kim Hwanjun Song Yooju Shin Dongmin Park Kijung Shin Jae-Gil Lee	1
+ PDF Chat	Multi-objective Optimization of Notifications Using Offline Reinforcement Learning	2022	Prakruthi Prabhakar Yiping Yuan Guangyu Yang Wensheng Sun Ajith Muralidharan	1
+	G-Meta: Distributed Meta Learning in GPU Clusters for Large-Scale Recommender Systems	2023	Youshao Xiao Shangchun Zhao Zhenglei Zhou Zhaoxin Huan Lin Ju Xiaolu Zhang Lin Wang Jun Zhou	1
+	Neighborhood preserving embedding	2005	Xiaofei He Deng Cai Shuicheng Yan Hao Zhang	1
+	Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding	2015	Song Han Huizi Mao William J. Dally	1
+	Wide & Deep Learning for Recommender Systems	2016	Heng-Tze Cheng Levent Koç Jeremiah Harmsen Tal Shaked Tushar Chandra Hrishi Aradhye Glen Anderson Greg S. Corrado Wei Koong Chai Mustafa Ispir	1
+ PDF Chat	Product-Based Neural Networks for User Response Prediction	2016	Yanru Qu Han Cai Kan Ren Weinan Zhang Yong Yu Ying Wen Jun Wang	1
+	Automatic Understanding of Image and Video Advertisements	2017	Zaeem Hussain Mingda Zhang Xiaozhong Zhang Keren Ye Christopher Thomas Zuha Agha Nathan Ong Adriana Kovashka	1
+	BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding	2018	Jacob Devlin Ming‐Wei Chang Kenton Lee Kristina Toutanova	1
+	Distributed Representations of Words and Phrases and their Compositionality	2013	Tomáš Mikolov Ilya Sutskever Kai Chen Greg S. Corrado Jay B. Dean	1
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	1
+	Learning Structured Sparsity in Deep Neural Networks	2016	Wei Wen Chunpeng Wu Yandan Wang Yiran Chen Hai Li	1