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ORCIDSiddharth Singh
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j9]Ritesh Kumar
, Shyam Ratan, Siddharth Singh, Enakshi Nandi, Laishram Niranjana Devi, Akash Bhagat, Yogesh Dawer, Bornini Lahiri, Akanksha Bansal:
A multilingual, multimodal dataset of aggression and bias: the ComMA dataset. Lang. Resour. Evaluation 58(2): 757-837 (2024)- [j8]Prabir Mondal, Pulkit Kapoor, Siddharth Singh, Sriparna Saha, Jyoti Prakash Singh, Amit Kumar Singh:
Genre Effect Toward Developing a Multi-Modal Movie Recommendation System in Indian Setting. IEEE Trans. Consumer Electron. 70(1): 2517-2526 (2024) - [c37]Ritesh Kumar, Ojaswee Bhalla, Madhu Vanthi, Shehlat Maknoon Wani, Siddharth Singh:
HarmPot: An Annotation Framework for Evaluating Offline Harm Potential of Social Media Text. LREC/COLING 2024: 8016-8034 - [c36]Siddharth Singh, Shyam Ratan, Neerav Mathur, Ritesh Kumar:
Demo of LiFE: A web app for collection, management and annotation of linguistic data. COMAD/CODS 2024: 563-567 - [c35]Shyama Sastha Krishnamoorthy Srinivasan, Siddharth Singh, Pushpendra Singh, Mohan Kumar:
BLIPS: Bluetooth locator for an Indoor Positioning System in Realtime. COMPASS 2024: 18-29 - [c34]Siddharth Singh, Nancy Mehta, K. N. Prakash, Santosh Kumar Vipparthi, Subrahmanyam Murala:
Probing Attention-Driven Normalizing Flow Network for Low-Light Image Enhancement. ICPR (32) 2024: 137-151 - [c33]Jeeva Keshav S, K. B. S. D. Sai Praneeth, K. B. S. M. D. S. Sai Prasanth, Rohit Singh, S. R. Santhosh Kumar, Raj Surya, Siva P, Carlton D'silva, Palle Bharath, Hari Prakash, Lakshman S, Raviteja Devara, Parthiban, Aravind Gundlapalle, Siddharth Singh, Aswathylakshmi P., Prabha V, Kalyani Bhukya, Nirubana Jayapal, Jyotirmay Saini, Singiresu Yogesh, Akash KR, Dhupam Naveen, Radha Krishna Ganti, Rohit Budhiraja:
Physical Layer Design of a 5G NR Base Station. NCC 2024: 1-6 - [c32]Siddharth Singh, Prajwal Singhania, Aditya Ranjan, John Kirchenbauer, Jonas Geiping, Yuxin Wen, Neel Jain, Abhimanyu Hans, Manli Shu, Aditya Tomar, Tom Goldstein, Abhinav Bhatele:
Democratizing AI: Open-source Scalable LLM Training on GPU-based Supercomputers. SC 2024: 4 - [c31]Prabir Mondal, Siddharth Singh, Kushum, Sriparna Saha, Jyoti Prakash Singh, Brijraj Singh, Niranjan Pedanekar:
Efficacy of Large Language Models in Predicting Hindi Movies' Attributes: A Comprehensive Survey and Content-Based Analysis. WWW (Companion Volume) 2024: 947-950 - [i28]Ritesh Kumar, Ojaswee Bhalla, Madhu Vanthi, Shehlat Maknoon Wani, Siddharth Singh:
HarmPot: An Annotation Framework for Evaluating Offline Harm Potential of Social Media Text. CoRR abs/2403.11108 (2024) - [i27]Prajwal Singhania, Siddharth Singh, Shwai He, Soheil Feizi, Abhinav Bhatele:
Loki: Low-Rank Keys for Efficient Sparse Attention. CoRR abs/2406.02542 (2024) - [i26]Abhimanyu Hans, Yuxin Wen, Neel Jain, John Kirchenbauer, Hamid Kazemi, Prajwal Singhania, Siddharth Singh, Gowthami Somepalli, Jonas Geiping, Abhinav Bhatele, Tom Goldstein:
Be like a Goldfish, Don't Memorize! Mitigating Memorization in Generative LLMs. CoRR abs/2406.10209 (2024) - [i25]Siddharth Singh, Tian Xu, Qing Chang:
Collaborative motion planning for multi-manipulator systems through Reinforcement Learning and Dynamic Movement Primitives. CoRR abs/2410.00757 (2024) - [i24]William Smith, Siddharth Singh, Julia Rudy, Yuxiang Guan:
Lie Theory Based Optimization for Unified State Planning of Mobile Manipulators. CoRR abs/2410.15443 (2024) - [i23]Chujie Zheng, Jeffrey Wang, Shuqian Albee Zhang, Anand Kishore, Siddharth Singh:
Semantic Search Evaluation. CoRR abs/2410.21549 (2024) - [i22]Aman Chaturvedi, Daniel Nichols, Siddharth Singh, Abhinav Bhatele:
HPC-Coder-V2: Studying Code LLMs Across Low-Resource Parallel Languages. CoRR abs/2412.15178 (2024) - 2023
- [j7]William Smith, Yongming Qin, Siddharth Singh, Hudson Burke, Tomonari Furukawa, Gamini Dissanayake:
A Multistage Framework for Autonomous Robotic Mapping with Targeted Metrics. Robotics 12(2): 39 (2023) - [c30]Prabir Mondal, Pulkit Kapoor, Siddharth Singh, Sriparna Saha, Naoyuki Onoe, Brijraj Singh:
Impulsion of Movie's Content-Based Factors in Multi-modal Movie Recommendation System. ICONIP (15) 2023: 230-242 - [c29]Siddharth Singh, Olatunji Ruwase, Ammar Ahmad Awan, Samyam Rajbhandari, Yuxiong He, Abhinav Bhatele:
A Hybrid Tensor-Expert-Data Parallelism Approach to Optimize Mixture-of-Experts Training. ICS 2023: 203-214 - [c28]Siddharth Singh, Michael Durand, Edward Kim, Jinmei Pan, Do Hyuk Kang, Ana P. Barros:
A Physical-Statistical Retrieval Framework to Estimate SWE from X and Ku-Band SAR Observations. IGARSS 2023: 17-20 - [c27]Prabir Mondal, Pulkit Kapoor, Siddharth Singh, Sriparna Saha, Jyoti Prakash Singh, Naoyuki Onoe:
Task-Specific and Graph Convolutional Network based Multi-modal Movie Recommendation System in Indian Setting. INNS DLIA@IJCNN 2023: 591-600 - [c26]Siddharth Singh, Abhinav Bhatele:
Exploiting Sparsity in Pruned Neural Networks to Optimize Large Model Training. IPDPS 2023: 245-255 - [c25]Ifrah Idrees, Siddharth Singh, Kerui Xu, Dylan F. Glas:
A Framework for Realistic Simulation of Daily Human Activity. RO-MAN 2023: 30-37 - [i21]Siddharth Singh, Abhinav Bhatele:
Exploiting Sparsity in Pruned Neural Networks to Optimize Large Model Training. CoRR abs/2302.05045 (2023) - [i20]Siddharth Singh, Olatunji Ruwase, Ammar Ahmad Awan, Samyam Rajbhandari, Yuxiong He, Abhinav Bhatele:
A Novel Tensor-Expert Hybrid Parallelism Approach to Scale Mixture-of-Experts Training. CoRR abs/2303.06318 (2023) - [i19]Siddharth Singh, Zack Sating, Abhinav Bhatele:
Communication-minimizing Asynchronous Tensor Parallelism. CoRR abs/2305.13525 (2023) - [i18]Siddharth Singh, Zachary Sating, Abhinav Bhatele:
Jorge: Approximate Preconditioning for GPU-efficient Second-order Optimization. CoRR abs/2310.12298 (2023) - [i17]Ifrah Idrees, Siddharth Singh, Kerui Xu, Dylan F. Glas:
A Framework for Realistic Simulation of Daily Human Activity. CoRR abs/2311.15400 (2023) - 2022
- [j6]Anirban Ghose, Siddharth Singh, Vivek Kulaharia, Lokesh Dokara, Srijeeta Maity, Soumyajit Dey:
PySchedCL: Leveraging Concurrency in Heterogeneous Data-Parallel Systems. IEEE Trans. Computers 71(9): 2234-2247 (2022) - [c24]Pinkesh Badjatiya, Mausoom Sarkar, Nikaash Puri, Jayakumar Subramanian, Abhishek Sinha, Siddharth Singh, Balaji Krishnamurthy:
Status-quo Policy Gradient in Multi-Agent Reinforcement Learning. AAMAS 2022: 1530-1532 - [c23]Georgios Georgakis, Bernadette Bucher, Karl Schmeckpeper, Siddharth Singh, Kostas Daniilidis:
Learning to Map for Active Semantic Goal Navigation. ICLR 2022 - [c22]Siddharth Singh, Abhinav Bhatele:
AxoNN: An asynchronous, message-driven parallel framework for extreme-scale deep learning. IPDPS 2022: 606-616 - [c21]Ritesh Kumar, Shyam Ratan, Siddharth Singh, Enakshi Nandi, Laishram Niranjana Devi, Akash Bhagat, Yogesh Dawer, Bornini Lahiri, Akanksha Bansal, Atul Kr. Ojha:
The ComMA Dataset V0.2: Annotating Aggression and Bias in Multilingual Social Media Discourse. LREC 2022: 4149-4161 - [c20]Adeyemi Osigbesan, Solene Barrat, Harkeerat Singh, Dongzi Xia, Siddharth Singh, Yang Xing, Weisi Guo, Antonios Tsourdos:
Vision-based Fall Detection in Aircraft Maintenance Environment with Pose Estimation. MFI 2022: 1-6 - [c19]Guy Emerson, Natalie Schluter, Gabriel Stanovsky, Ritesh Kumar, Alexis Palmer, Nathan Schneider, Siddharth Singh, Shyam Ratan:
Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022). SemEval@NAACL 2022 - [e1]Guy Emerson, Natalie Schluter, Gabriel Stanovsky, Ritesh Kumar, Alexis Palmer, Nathan Schneider, Siddharth Singh, Shyam Ratan:
Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, Seattle, Washington, United States, July 14-15, 2022. Association for Computational Linguistics 2022, ISBN 978-1-955917-80-3 [contents] - [i16]Siddharth Singh, Ritesh Kumar, Shyam Ratan, Sonal Sinha:
Demo of the Linguistic Field Data Management and Analysis System - LiFE. CoRR abs/2203.11443 (2022) - [i15]Ritesh Kumar, Siddharth Singh, Shyam Ratan, Mohit Raj, Sonal Sinha, Bornini Lahiri, Vivek Seshadri, Kalika Bali, Atul Kr. Ojha:
Annotated Speech Corpus for Low Resource Indian Languages: Awadhi, Bhojpuri, Braj and Magahi. CoRR abs/2206.12931 (2022) - 2021
- [c18]Shyam Ratan, Sonal Sinha, Siddharth Singh:
SVM for Hate Speech and Offensive Content Detection. FIRE (Working Notes) 2021: 459-466 - [c17]Siddharth Singh, Ritesh Kumar, Shyam Ratan, Sonal Sinha:
Demo of the Linguistic Field Data Management and Analysis System - LiFE. ICON 2021: 660-662 - [i14]Georgios Georgakis, Bernadette Bucher, Karl Schmeckpeper, Siddharth Singh, Kostas Daniilidis:
Learning to Map for Active Semantic Goal Navigation. CoRR abs/2106.15648 (2021) - [i13]Brandon Leung, Siddharth Singh, Arik Horodniceanu:
Domain Adaptation for Real-World Single View 3D Reconstruction. CoRR abs/2108.10972 (2021) - [i12]Siddharth Singh, Abhinav Bhatele:
Myelin: An asynchronous, message-driven parallel framework for extreme-scale deep learning. CoRR abs/2110.13005 (2021) - [i11]Shu-Huai Lin, Daniel Nichols, Siddharth Singh, Abhinav Bhatele:
How to Train Your Neural Network: A Comparative Evaluation. CoRR abs/2111.04949 (2021) - [i10]Ritesh Kumar, Enakshi Nandi, Laishram Niranjana Devi, Shyam Ratan, Siddharth Singh, Akash Bhagat, Yogesh Dawer:
The ComMA Dataset V0.2: Annotating Aggression and Bias in Multilingual Social Media Discourse. CoRR abs/2111.10390 (2021) - [i9]Pinkesh Badjatiya, Mausoom Sarkar, Nikaash Puri, Jayakumar Subramanian, Abhishek Sinha, Siddharth Singh, Balaji Krishnamurthy:
Status-quo policy gradient in Multi-Agent Reinforcement Learning. CoRR abs/2111.11692 (2021) - 2020
- [j5]Chandan Kumar, Amit Kumar Singh, Pardeep Kumar, Rajiv Singh, Siddharth Singh:
SPIHT-based multiple image watermarking in NSCT domain. Concurr. Comput. Pract. Exp. 32(1) (2020) - [c16]Shiladitya Bhattacharya, Siddharth Singh, Ritesh Kumar, Akanksha Bansal, Akash Bhagat, Yogesh Dawer, Bornini Lahiri, Atul Kr. Ojha:
Developing a Multilingual Annotated Corpus of Misogyny and Aggression. TRAC@LREC 2020: 158-168 - [i8]Pinkesh Badjatiya, Mausoom Sarkar, Abhishek Sinha, Siddharth Singh, Nikaash Puri, Balaji Krishnamurthy:
Inducing Cooperation in Multi-Agent Games Through Status-Quo Loss. CoRR abs/2001.05458 (2020) - [i7]Shiladitya Bhattacharya, Siddharth Singh, Ritesh Kumar, Akanksha Bansal, Akash Bhagat, Yogesh Dawer, Bornini Lahiri, Atul Kr. Ojha:
Developing a Multilingual Annotated Corpus of Misogyny and Aggression. CoRR abs/2003.07428 (2020) - [i6]Shalmoli Ghosh, Prajwal Singhania, Siddharth Singh, Koustav Rudra, Saptarshi Ghosh:
Stance Detection in Web and Social Media: A Comparative Study. CoRR abs/2007.05976 (2020) - [i5]Anirban Ghose, Siddharth Singh, Vivek Kulaharia, Lokesh Dokara, Srijeeta Maity, Soumyajit Dey:
PySchedCL: Leveraging Concurrency in Heterogeneous Data-Parallel Systems. CoRR abs/2009.07482 (2020)
2010 – 2019
- 2019
- [c15]Siddharth Singh, Raaghavv Devgon:
Analysis of Encryption and Lossless Compression Techniques for Secure Data Transmission. ICCCS 2019: 1-5 - [c14]Shalmoli Ghosh, Prajwal Singhania, Siddharth Singh, Koustav Rudra, Saptarshi Ghosh:
Stance Detection in Web and Social Media: A Comparative Study. CLEF 2019: 75-87 - [c13]Sudeep Dasari, Frederik Ebert, Stephen Tian, Suraj Nair, Bernadette Bucher, Karl Schmeckpeper, Siddharth Singh, Sergey Levine, Chelsea Finn:
RoboNet: Large-Scale Multi-Robot Learning. CoRL 2019: 885-897 - [i4]Sudeep Dasari, Frederik Ebert, Stephen Tian, Suraj Nair, Bernadette Bucher, Karl Schmeckpeper, Siddharth Singh, Sergey Levine, Chelsea Finn:
RoboNet: Large-Scale Multi-Robot Learning. CoRR abs/1910.11215 (2019) - 2018
- [c12]Oleg Rybakov, Vijai Mohan, Avishkar Misra, Scott LeGrand, Rejith Joseph, Kiuk Chung, Siddharth Singh, Qian You, Eric T. Nalisnick, Leo Dirac, Runfei Luo:
The Effectiveness of a two-Layer Neural Network for Recommendations. ICLR (Workshop) 2018 - [c11]Indira Sen, Anupama Aggarwal, Shiven Mian, Siddharth Singh, Ponnurangam Kumaraguru, Anwitaman Datta:
Worth its Weight in Likes: Towards Detecting Fake Likes on Instagram. WebSci 2018: 205-209 - [i3]Adarsh Modh, Siddharth Singh, A. V. S. Sai Bhargav Kumar, Sriram N. N., K. Madhava Krishna:
Gradient Aware - Shrinking Domain based Control Design for Reactive Planning Frameworks used in Autonomous Vehicles. CoRR abs/1804.08679 (2018) - [i2]Tsung-Ting Kuo, Jina Huh, Jihoon Kim, Robert E. El-Kareh, Siddharth Singh, Stephanie Feudjio Feupe, Vincent Kuri, Gordon Lin, Michele E. Day, Lucila Ohno-Machado, Chun-Nan Hsu:
The Impact of Automatic Pre-annotation in Clinical Note Data Element Extraction - the CLEAN Tool. CoRR abs/1808.03806 (2018) - 2017
- [j4]Siddharth Singh, Vivek Singh Rathore, Rajiv Singh:
Hybrid NSCT domain multiple watermarking for medical images. Multim. Tools Appl. 76(3): 3557-3575 (2017) - [j3]Siddharth Singh, Vivek Singh Rathore, Rajiv Singh, Manoj Kumar Singh:
Hybrid semi-blind image watermarking in redundant wavelet domain. Multim. Tools Appl. 76(18): 19113-19137 (2017) - [c10]Siddharth Singh, Vedant Nanda, Rijurekha Sen, Satadal Sengupta, Ponnurangam Kumaraguru, Krishna P. Gummadi:
Leveraging Facebook's Free Basics Engine for Web Service Deployment in Developing Regions. ICTD 2017: 7:1-7:11 - [c9]Siddharth Singh, Vedant Nanda, Rijurekha Sen, Sohaib Ahmad, Satadal Sengupta, Amreesh Phokeer, Zaid Ahmed Farooq, Taslim Arefin Khan, Ponnurangam Kumaraguru, Ihsan Ayyub Qazi, David R. Choffnes, Krishna P. Gummadi:
An Empirical Analysis of Facebook's Free Basics. SIGMETRICS (Abstracts) 2017: 37-38 - 2016
- [c8]Siddharth Singh, Paulina Paul, Chun-Nan Hsu, Lucila Ohno-Machado:
Developing an Electronic Health Record-Based Cohort of Patients with Inflammatory Bowel Diseases for Observational Patient-Centered Outcomes Research. AMIA 2016 - 2015
- [c7]Siddharth Singh, Rajiv Singh, Tanveer J. Siddiqui:
Singular Value Decomposition Based Image Steganography Using Integer Wavelet Transform. SIRS 2015: 593-601 - [i1]Aranya Goswamy, Sagar Kumashi, Vikash Sehwag, Siddharth Singh, Manny Jain, Kaushik Roy, Mrigank Sharad:
Energy Efficient and High Performance Current-Mode Neural Network Circuit using Memristors and Digitally Assisted Analog CMOS Neurons. CoRR abs/1511.09085 (2015) - 2014
- [j2]Ramesh Kumar Mishra, Siddharth Singh:
Activation of shape and semantic information during ambiguous homophone processing: eye tracking evidence from Hindi. Cogn. Process. 15(4): 451-465 (2014) - 2013
- [j1]Siddharth Singh, Tanveer J. Siddiqui:
Robust Image Data Hiding Technique for Copyright Protection. Int. J. Inf. Secur. Priv. 7(2): 44-56 (2013)
2000 – 2009
- 2007
- [c6]Siddharth Singh, Krishnan Hajela, Ashwini Kumar Ramani:
RßHpred: Prediction of Right-Handed ß-Helix Fold from Protein Sequence Using SVM and Protein Threading. CIT 2007: 1116-1121 - [c5]Siddharth Singh, Krishnan Hajela, Ashwini Kumar Ramani:
SVM-BetaPred: Prediction of Right-Handed ß-Helix Fold from Protein Sequence Using SVM. PRIB 2007: 108-119 - 2006
- [c4]Aditya Bansal, Mesut Meterelliyoz, Siddharth Singh, Jung Hwan Choi, Jayathi Murthy, Kaushik Roy:
Compact thermal models for estimation of temperature-dependent power/performance in FinFET technology. ASP-DAC 2006: 237-242 - 2004
- [c3]Siddharth Singh, Adrian David Cheok, Soh Chor Kiong:
A step towards anywhere gaming. Advances in Computer Entertainment Technology 2004: 357-358 - [c2]Siddharth Singh, Adrian David Cheok, Guo Loong Ng, Farzam Farbiz:
Augmented reality post-it system. Advances in Computer Entertainment Technology 2004: 359 - [c1]Siddharth Singh, Adrian David Cheok, Guo Loong Ng, Farzam Farbiz:
3D augmented reality comic book and notes for children using mobile phones. IDC 2004: 149-150
Coauthor Index
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