Siddharth Singh

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 58

Top Topics

Heterogeneous Data

Annotated Corpus

Top Venues

Multim. Tools Appl.

Publications

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)
Shyama Sastha Krishnamoorthy Srinivasan, Siddharth Singh, Pushpendra Singh, Mohan Kumar
BLIPS: Bluetooth locator for an Indoor Positioning System in Realtime. COMPASS (2024)
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) (2024)
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)
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 (2024)
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) (2024)
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 (2024)
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)
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)
Prajwal Singhania, Siddharth Singh, Shwai He, Soheil Feizi, Abhinav Bhatele
Loki: Low-Rank Keys for Efficient Sparse Attention. CoRR (2024)
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) (2023)
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)
Siddharth Singh, Abhinav Bhatele
Exploiting Sparsity in Pruned Neural Networks to Optimize Large Model Training. CoRR (2023)
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)
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 (2023)
Siddharth Singh, Zack Sating, Abhinav Bhatele
Communication-minimizing Asynchronous Tensor Parallelism. CoRR (2023)
Ifrah Idrees, Siddharth Singh, Kerui Xu, Dylan F. Glas
A Framework for Realistic Simulation of Daily Human Activity. RO-MAN (2023)
Siddharth Singh, Abhinav Bhatele
Exploiting Sparsity in Pruned Neural Networks to Optimize Large Model Training. IPDPS (2023)
Siddharth Singh, Zachary Sating, Abhinav Bhatele
Jorge: Approximate Preconditioning for GPU-efficient Second-order Optimization. CoRR (2023)
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)
Ifrah Idrees, Siddharth Singh, Kerui Xu, Dylan F. Glas
A Framework for Realistic Simulation of Daily Human Activity. CoRR (2023)
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)
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 (2022)
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)
Siddharth Singh, Ritesh Kumar, Shyam Ratan, Sonal Sinha
Demo of the Linguistic Field Data Management and Analysis System - LiFE. CoRR (2022)
Siddharth Singh, Abhinav Bhatele
AxoNN: An asynchronous, message-driven parallel framework for extreme-scale deep learning. IPDPS (2022)
Georgios Georgakis, Bernadette Bucher, Karl Schmeckpeper, Siddharth Singh, Kostas Daniilidis
Learning to Map for Active Semantic Goal Navigation. ICLR (2022)
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)
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)
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)
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) (2022)
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 (2021)
Brandon Leung, Siddharth Singh, Arik Horodniceanu
Domain Adaptation for Real-World Single View 3D Reconstruction. CoRR (2021)
Pinkesh Badjatiya, Mausoom Sarkar, Nikaash Puri, Jayakumar Subramanian, Abhishek Sinha, Siddharth Singh, Balaji Krishnamurthy
Status-quo policy gradient in Multi-Agent Reinforcement Learning. CoRR (2021)
Siddharth Singh, Ritesh Kumar, Shyam Ratan, Sonal Sinha
Demo of the Linguistic Field Data Management and Analysis System - LiFE. ICON (2021)
Georgios Georgakis, Bernadette Bucher, Karl Schmeckpeper, Siddharth Singh, Kostas Daniilidis
Learning to Map for Active Semantic Goal Navigation. CoRR (2021)
Siddharth Singh, Abhinav Bhatele
Myelin: An asynchronous, message-driven parallel framework for extreme-scale deep learning. CoRR (2021)
Shu-Huai Lin, Daniel Nichols, Siddharth Singh, Abhinav Bhatele
How to Train Your Neural Network: A Comparative Evaluation. CoRR (2021)
Shyam Ratan, Sonal Sinha, Siddharth Singh
SVM for Hate Speech and Offensive Content Detection. FIRE (Working Notes) (2021)
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)
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)
Anirban Ghose, Siddharth Singh, Vivek Kulaharia, Lokesh Dokara, Srijeeta Maity, Soumyajit Dey
PySchedCL: Leveraging Concurrency in Heterogeneous Data-Parallel Systems. CoRR (2020)
Pinkesh Badjatiya, Mausoom Sarkar, Abhishek Sinha, Siddharth Singh, Nikaash Puri, Balaji Krishnamurthy
Inducing Cooperation in Multi-Agent Games Through Status-Quo Loss. CoRR (2020)
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 (2020)
Shalmoli Ghosh, Prajwal Singhania, Siddharth Singh, Koustav Rudra, Saptarshi Ghosh
Stance Detection in Web and Social Media: A Comparative Study. CoRR (2020)
Shalmoli Ghosh, Prajwal Singhania, Siddharth Singh, Koustav Rudra, Saptarshi Ghosh
Stance Detection in Web and Social Media: A Comparative Study. CLEF (2019)
Siddharth Singh, Raaghavv Devgon
Analysis of Encryption and Lossless Compression Techniques for Secure Data Transmission. ICCCS (2019)
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)
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 (2019)
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 (2018)
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 (2018)
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)
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)
Siddharth Singh, Vivek Singh Rathore, Rajiv Singh
Hybrid NSCT domain multiple watermarking for medical images. Multim. Tools Appl. 76 (3) (2017)
Siddharth Singh, Vivek Singh Rathore, Rajiv Singh, Manoj Kumar Singh
Hybrid semi-blind image watermarking in redundant wavelet domain. Multim. Tools Appl. 76 (18) (2017)
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)
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)
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)
Siddharth Singh, Rajiv Singh, Tanveer J. Siddiqui
Singular Value Decomposition Based Image Steganography Using Integer Wavelet Transform. SIRS (2015)
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 (2015)
Ramesh Kumar Mishra, Siddharth Singh
Activation of shape and semantic information during ambiguous homophone processing: eye tracking evidence from Hindi. Cogn. Process. 15 (4) (2014)
Siddharth Singh, Tanveer J. Siddiqui
Robust Image Data Hiding Technique for Copyright Protection. Int. J. Inf. Secur. Priv. 7 (2) (2013)
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)
Siddharth Singh, Krishnan Hajela, Ashwini Kumar Ramani
SVM-BetaPred: Prediction of Right-Handed ß-Helix Fold from Protein Sequence Using SVM. PRIB (2007)
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)
Siddharth Singh, Adrian David Cheok, Soh Chor Kiong
A step towards anywhere gaming. Advances in Computer Entertainment Technology (2004)
Siddharth Singh, Adrian David Cheok, Guo Loong Ng, Farzam Farbiz
Augmented reality post-it system. Advances in Computer Entertainment Technology (2004)
Siddharth Singh, Adrian David Cheok, Guo Loong Ng, Farzam Farbiz
3D augmented reality comic book and notes for children using mobile phones. IDC (2004)