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2020 – today
- 2024
[c9]Cheng Chang, Keyu Long, Zijian Li, Himanshu Rai:
Classifier Guided Cluster Density Reduction for Dataset Selection. CVPR Workshops 2024: 7338-7347- [c8]Rashmi Saikia, Himanshu Rai, Souvik Mahapatra:
Modeling of Post-Cycling Retention Bake in 3-D CTF TLC NAND Arrays. IRPS 2024: 1-6 - 2023
- [j3]Malvika Chhatwani
, Sushanta Kumar Mishra, Himanshu Rai:
Active and passive social media usage and depression among the elderly during COVID-19: does race matter? Behav. Inf. Technol. 42(2): 215-226 (2023) - [j2]Himanshu Rai, M. S. Panwar, Sanjeev K. Tomer:
Analysis of masked data with Lindley failure model. Commun. Stat. Simul. Comput. 52(4): 1192-1211 (2023) - 2021
- [c7]Yichao Lu, Himanshu Rai, Jason Chang, Boris Knyazev, Guang Wei Yu, Shashank Shekhar, Graham W. Taylor, Maksims Volkovs:
Context-aware Scene Graph Generation with Seq2Seq Transformers. ICCV 2021: 15911-15921 - 2020
- [c6]Swarnim Narayan, Chepuri Shri Krishna, Varun Mishra, Abhinav Rai, Himanshu Rai, Chandrakant Bharti, Gursirat Singh Sodhi, Ashish Gupta, Nitinbalaji Singh:
Ultron-AutoML: an open-source, distributed, scalable framework for efficient hyper-parameter optimization. IEEE BigData 2020: 1584-1593 - [c5]Chepuri Shri Krishna, Ashish Gupta, Swarnim Narayan, Himanshu Rai, Diksha Manchanda:
Hyper-parameter optimization with REINFORCE and Masked Attention Auto-regressive Density Estimators. IEEE BigData 2020: 5108-5117 - [i4]Chepuri Shri Krishna, Ashish Gupta, Himanshu Rai, Swarnim Narayan:
Neural Architecture Search with Reinforce and Masked Attention Autoregressive Density Estimators. CoRR abs/2006.00939 (2020)
2010 – 2019
- 2019
- [c4]Chundi Liu, Guang Wei Yu, Maksims Volkovs, Cheng Chang, Himanshu Rai, Junwei Ma, Satya Krishna Gorti:
Guided Similarity Separation for Image Retrieval. NeurIPS 2019: 1554-1564 - [c3]Ga Wu, Maksims Volkovs, Chee Loong Soon, Scott Sanner, Himanshu Rai:
Noise Contrastive Estimation for One-Class Collaborative Filtering. SIGIR 2019: 135-144 - [i3]Cheng Chang, Himanshu Rai, Satya Krishna Gorti, Junwei Ma, Chundi Liu, Guang Wei Yu, Maksims Volkovs:
Semi-Supervised Exploration in Image Retrieval. CoRR abs/1906.04944 (2019) - [i2]Yichao Lu, Cheng Chang, Himanshu Rai, Guang Wei Yu, Maksims Volkovs:
Learning Effective Visual Relationship Detector on 1 GPU. CoRR abs/1912.06185 (2019) - 2018
- [c2]Maksims Volkovs, Himanshu Rai, Zhaoyue Cheng, Ga Wu, Yichao Lu, Scott Sanner:
Two-stage Model for Automatic Playlist Continuation at Scale. RecSys Challenge 2018: 9:1-9:6 - [i1]Ga Wu, Maksims Volkovs, Chee Loong Soon, Scott Sanner, Himanshu Rai:
Noise Contrastive Estimation for Scalable Linear Models for One-Class Collaborative Filtering. CoRR abs/1811.00697 (2018) - 2014
- [j1]Himanshu Rai, Anamika Yadav:
Iris recognition using combined support vector machine and Hamming distance approach. Expert Syst. Appl. 41(2): 588-593 (2014) - [c1]Himanshu Rai, Maheshkumar H. Kolekar, Neelabh Keshav, J. K. Mukherjee:
Trajectory Based Unusual Human Movement Identification for Video Surveillance System. ICSEng 2014: 789-794
Coauthor Index
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