Niraj Jha
Princeton University
H-index: 84
North America-United States
Top articles of Niraj Jha
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Ctrl: Clustering training losses for label error detection | IEEE Transactions on Artificial Intelligence | Chang Yue Niraj K Jha | 2024/2/12 |
PAGE: Domain-Incremental Adaptation with Past-Agnostic Generative Replay for Smart Healthcare | arXiv preprint arXiv:2403.08197 | Chia-Hao Li Niraj K Jha | 2024/3/13 |
SECRETS: Subject-efficient clinical randomized controlled trials using synthetic intervention | Contemporary Clinical Trials Communications | Sayeri Lala Niraj K Jha | 2024/2/3 |
Im-Promptu: In-Context Composition from Image Prompts | Advances in Neural Information Processing Systems | Bhishma Dedhia Michael Chang Jake Snell Tom Griffiths Niraj Jha | 2024/2/13 |
TAD-SIE: Sample Size Estimation for Clinical Randomized Controlled Trials using a Trend-Adaptive Design with a Synthetic-Intervention-Based Estimator | arXiv preprint arXiv:2401.03693 | Sayeri Lala Niraj K Jha | 2024/1/8 |
System and method for energy efficient sensors with compression, artificial intelligence, and security | 2023/10/10 | ||
TransCODE: Co-design of transformers and accelerators for efficient training and inference | IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems | Shikhar Tuli Niraj K Jha | 2023/3/27 |
REPAIRS: Gaussian Mixture Model-based Completion and Optimization of Partially Specified Systems | ACM Transactions on Embedded Computing Systems | Prerit Terway Niraj K Jha | 2023/7/24 |
System and method for machine learning assisted security analysis of 5g network connected systems | 2023/12/28 | ||
EdgeTran: Co-designing transformers for efficient inference on mobile edge platforms | arXiv preprint arXiv:2303.13745 | Shikhar Tuli Niraj K Jha | 2023/3/24 |
FlexiBERT: Are current transformer architectures too homogeneous and rigid? | Journal of Artificial Intelligence Research | Shikhar Tuli Bhishma Dedhia Shreshth Tuli Niraj K Jha | 2023/5/6 |
DOCTOR: A Multi-Disease Detection Continual Learning Framework Based on Wearable Medical Sensors | arXiv preprint arXiv:2305.05738 | Chia-Hao Li Niraj K Jha | 2023/5/9 |
Zero-TPrune: Zero-Shot Token Pruning through Leveraging of the Attention Graph in Pre-Trained Transformers | arXiv preprint arXiv:2305.17328 | Hongjie Wang Bhishma Dedhia Niraj K Jha | 2023/5/27 |
How MagNet: Machine learning framework for modeling power magnetic material characteristics | IEEE Transactions on Power Electronics | Haoran Li Diego Serrano Thomas Guillod Shukai Wang Evan Dogariu | 2023/8/28 |
SCouT: Synthetic Counterfactuals via Spatiotemporal Transformers for Actionable Healthcare | ACM Transactions on Computing for Healthcare | Bhishma Dedhia Roshini Balasubramanian Niraj K Jha | 2023/10/13 |
Why magnet: Quantifying the complexity of modeling power magnetic material characteristics | IEEE Transactions on Power Electronics | Diego Serrano Haoran Li Shukai Wang Thomas Guillod Min Luo | 2023/6/30 |
ML-FEED: machine learning framework for efficient exploit detection (extended version) | Tanujay Saha Tamjid Al Rahat Najwa Aaraj Yuan Tian Niraj K Jha | 2022 | |
CODEBench: A neural architecture and hardware accelerator co-design framework | ACM Transactions on Embedded Computing Systems | Shikhar Tuli Chia-Hao Li Ritvik Sharma Niraj K Jha | 2023/4/20 |
AccelTran: A sparsity-aware accelerator for dynamic inference with transformers | IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems | Shikhar Tuli Niraj K Jha | 2023/2/28 |
AIMED: AI-Mediated Exploration of Design: An Experience Report | Sanjai Narain Dana Chee Pranav Iyer Emily Mak Ricardo Valdez | 2023/5/9 |
Co-Authors
