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ORCIDVaibhav Singh
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. 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.
Person information
Other persons with the same name
- Vaibhav Singh 0001 — Carnegie Mellon University (CMU), Pittsburgh, PA, USA
- Vaibhav Singh 0002
![[0009-0006-4388-5920]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0009-0006-4388-5920")
— University of Washington, Department of Electrical and Computer Engineering, Seattle, WA, USA - Vaibhav Singh 0003 — University of Maryland (UMD), College Park, MD, USA
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2020 – today
- 2025
[c12]Soumya Suvra Ghosal, Souradip Chakraborty, Vaibhav Singh, Tianrui Guan, Mengdi Wang, Ahmad Beirami, Furong Huang, Alvaro Velasquez, Dinesh Manocha, Amrit Singh Bedi:
Immune: Improving Safety Against Jailbreaks in Multi-modal LLMs via Inference-Time Alignment. CVPR 2025: 25038-25049- [c11]Yaswanth M, Vaibhav Singh, Ayush Maheshwari, Amrith Krishna, Ganesh Ramakrishnan:
ARISE: Iterative Rule Induction and Synthetic Data Generation for Text Classification. NAACL (Findings) 2025: 6419-6434 - [i16]Yashwanth M., Vaibhav Singh, Ayush Maheshwari, Amrith Krishna, Ganesh Ramakrishnan:
ARISE: Iterative Rule Induction and Synthetic Data Generation for Text Classification. CoRR abs/2502.05923 (2025) - [i15]Vaibhav Singh, Paul Janson, Paria Mehrbod, Adam Ibrahim, Irina Rish, Eugene Belilovsky, Benjamin Thérien:
Beyond Cosine Decay: On the effectiveness of Infinite Learning Rate Schedule for Continual Pre-training. CoRR abs/2503.02844 (2025) - [i14]Soumya Suvra Ghosal, Vaibhav Singh, Akash Ghosh, Soumyabrata Pal, Subhadip Baidya, Sriparna Saha, Dinesh Manocha:
Relic: Enhancing Reward Model Generalization for Low-Resource Indic Languages with Few-Shot Examples. CoRR abs/2506.16502 (2025) - [i13]Vaibhav Singh, Zafir Khalid, Edouard Oyallon, Eugene Belilovsky:
Model Parallelism With Subnetwork Data Parallelism. CoRR abs/2507.09029 (2025) - [i12]Vaibhav Singh, Soumya Suvra Ghosal, Kapu Nirmal Joshua, Soumyabrata Pal, Sayak Ray Chowdhury:
KITE: Kernelized and Information Theoretic Exemplars for In-Context Learning. CoRR abs/2509.15676 (2025) - [i11]Hongbo Lan, Zhenlin An, Haoyu Li, Vaibhav Singh, Longfei Shangguan:
Accelerating Physical Property Reasoning for Augmented Visual Cognition. CoRR abs/2511.03126 (2025) - [i10]Vaibhav Singh, Eugene Belilovsky, Rahaf Aljundi:
When Data Falls Short: Grokking Below the Critical Threshold. CoRR abs/2511.04760 (2025) - [i9]Vaibhav Singh, Oleksiy Ostapenko, Pierre-André Noël, Torsten Scholak:
Breaking the Bottleneck with DiffuApriel: High-Throughput Diffusion LMs with Mamba Backbone. CoRR abs/2511.15927 (2025) - [i8]Nitin Priyadarshini Shankar, Vaibhav Singh, Sheetal Kalyani, Christian Maciocco:
BERTO: an Adaptive BERT-based Network Time Series Predictor with Operator Preferences in Natural Language. CoRR abs/2512.05721 (2025) - 2024
- [c10]Vaibhav Singh, Anna Choromanska, Shuang Li, Yilun Du:
Wake-Sleep Energy Based Models for Continual Learning. CVPR Workshops 2024: 4118-4127 - [c9]Vaibhav Singh, Christian Maciocco:
Effective AI/ML Training using Submodular Cell Selection for Network Energy Saving. ICC Workshops 2024: 1346-1351 - [c8]Utkarsh Arora, Upendra Mishra, Samaira Singh, Vaibhav Singh:
Comparative analysis of VGG16, Inception V4, AlexNet, and ResNet 50 for Plant Disease Identification. ICCCNT 2024: 1-7 - [c7]Vaibhav Singh, Tusher Chakraborty, Suraj Jog, Om Chabra, Deepak Vasisht, Ranveer Chandra:
Spectrumize: Spectrum-efficient Satellite Networks for the Internet of Things. NSDI 2024: 825-840 - [i7]Vaibhav Singh, Rahaf Aljundi, Eugene Belilovsky:
Controlling Forgetting with Test-Time Data in Continual Learning. CoRR abs/2406.13653 (2024) - [i6]Vaibhav Singh, Amrith Krishna, Karthika NJ, Ganesh Ramakrishnan:
A Three-Pronged Approach to Cross-Lingual Adaptation with Multilingual LLMs. CoRR abs/2406.17377 (2024) - [i5]Swayam Rajat Mohanty, Moin Uddin Maruf, Vaibhav Singh, Zeeshan Ahmad:
Machine learning approaches for automatic defect detection in photovoltaic systems. CoRR abs/2409.16069 (2024) - [i4]Soumya Suvra Ghosal, Souradip Chakraborty, Vaibhav Singh, Tianrui Guan, Mengdi Wang, Ahmad Beirami, Furong Huang, Alvaro Velasquez, Dinesh Manocha, Amrit Singh Bedi:
Immune: Improving Safety Against Jailbreaks in Multi-modal LLMs via Inference-Time Alignment. CoRR abs/2411.18688 (2024) - 2023
- [j5]Vaibhav Singh, Tusher Chakraborty, Suraj Jog, Om Chabra, Deepak Vasisht, Ranveer Chandra:
Exploiting Satellite Doppler for Reliable and Faster Data Download in IoT Satellite Networks. GetMobile Mob. Comput. Commun. 27(4): 11-14 (2023) - [c6]Tatiana Chakravorti, Vaibhav Singh, Sarah Rajtmajer, Michael McLaughlin, Robert Fraleigh, Christopher Griffin, Anthony Kwasnica, David M. Pennock, C. Lee Giles:
Artificial Prediction Markets Present a Novel Opportunity for Human-AI Collaboration. AAMAS 2023: 2304-2306 - [c5]Tatiana Chakravorti, Robert Fraleigh, Timothy Fritton, Michael McLaughlin, Vaibhav Singh, Christopher Griffin, Anthony Kwasnica, David M. Pennock, C. Lee Giles, Sarah Rajtmajer:
A Prototype Hybrid Prediction Market for Estimating Replicability of Published Work. HHAI 2023: 300-309 - [i3]Tatiana Chakravorti, Robert Fraleigh, Timothy Fritton, Michael McLaughlin, Vaibhav Singh, Christopher Griffin, Anthony Kwasnica, David M. Pennock, C. Lee Giles, Sarah Rajtmajer:
A prototype hybrid prediction market for estimating replicability of published work. CoRR abs/2303.00866 (2023) - 2022
- [c4]Anjali Gupta, Vaibhav Singh, Mayank Gautam, Abhishek Dixit:
Design and Implementation for a Duplex Visible Light Communication Link. COMSNETS 2022: 190-193 - [c3]Aarti Gupta, Roope Kaivola, Mihir Parang Mehta, Vaibhav Singh:
Error Correction Code Algorithm and Implementation Verification Using Symbolic Representations. FMCAD 2022: 151-159 - [c2]Vaibhav Singh, Maruti Gupta, Christian Maciocco:
Intelligent RAN Power Saving using Balanced Model Training in Cellular Networks. WiOpt 2022: 357-364 - [i2]Tatiana Chakravorti, Vaibhav Singh, Sarah Rajmajer, Michael McLaughlin, Robert Fraleigh, Christopher Griffin, Anthony Kwasnica, David M. Pennock, C. Lee Giles:
Artificial prediction markets present a novel opportunity for human-AI collaboration. CoRR abs/2211.16590 (2022) - 2021
- [j4]Nitesh Pradhan, Vaibhav Singh, Virat Kumar, Parth Goel, Vijaypal Singh Dhaka:
Conversion of two dimensional images into multi-view images of bone using deep learning. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 9(1): 106-113 (2021) - [j3]S. Krithiga, Vidhyacharan Bhaskar, S. Malarvizhi, Vaibhav Singh:
Noise Reduction in VCSEL Based Wavelength Division Multiplexing System. Wirel. Pers. Commun. 119(4): 3383-3397 (2021)
2010 – 2019
- 2019
- [c1]Vaibhav Singh, Kapil Sharma:
Empirical Analysis of Shallow and Deep Architecture Classifiers on Emotion Recognition from Speech. CSCloud/EdgeCom 2019: 69-73 - 2018
- [i1]Vinayak Kumar, Vaibhav Singh, P. K. Srijith, Andreas C. Damianou:
Deep Gaussian Processes with Convolutional Kernels. CoRR abs/1806.01655 (2018) - 2012
- [j2]Vaibhav Singh, Faizan Sarwar, Felix T. S. Chan, M. K. Tiwari:
Monitoring the performance of conveyor system using radio frequency identification in manufacturing environment: a recurrent neural network and genetic algorithm-based approach. Int. J. Comput. Integr. Manuf. 25(7): 551-564 (2012) - 2010
- [j1]Swades De, Vaibhav Singh, Hari Mohan Gupta, Navrati Saxena, Abhishek Roy:
A new predictive dynamic priority scheduling in Ethernet passive optical networks (EPONs). Opt. Switch. Netw. 7(4): 215-223 (2010)
Coauthor Index
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