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Bhanu Garg
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2020 – today
- 2024
- [j1]Ruobing Han, Jun Chen, Bhanu Garg, Xule Zhou, John Lu, Jeffrey Young, Jaewoong Sim, Hyesoon Kim:
CuPBoP: Making CUDA a Portable Language. ACM Trans. Design Autom. Electr. Syst. 29(4): 1-25 (2024) - 2023
- [c6]Bhanu Garg, Alexander Postlmayr, Pamela C. Cosman, Sujit Dey:
Short: Deep Learning Approach to Skeletal Performance Evaluation of Physical Therapy Exercises. CHASE 2023: 168-172 - [c5]Ramtin Hosseini, Li Zhang, Bhanu Garg, Pengtao Xie:
Fair and Accurate Decision Making through Group-Aware Learning. ICML 2023: 13254-13269 - [c4]Ruobing Han, Jun Chen, Bhanu Garg, Jeffrey Young, Jaewoong Sim, Hyesoon Kim:
CuPBoP: A Framework to Make CUDA Portable. PPoPP 2023: 444-446 - [i4]Ramtin Hosseini, Li Zhang, Bhanu Garg, Pengtao Xie:
Learning by Grouping: A Multilevel Optimization Framework for Improving Fairness in Classification without Losing Accuracy. CoRR abs/2304.00486 (2023) - 2022
- [c3]Bhanu Garg, Li Zhang, Pradyumna Sridhara, Ramtin Hosseini, Eric P. Xing, Pengtao Xie:
Learning from Mistakes - a Framework for Neural Architecture Search. AAAI 2022: 10184-10192 - [c2]Bhanu Garg, Kijun Kim, Sudhanshu Ranjan:
From Video to Images: Contrastive Pretraining for Emotion Recognition from Single Image (Student Abstract). AAAI 2022: 12951-12952 - [i3]Ruobing Han, Jun Chen, Bhanu Garg, Jeffrey Young, Jaewoong Sim, Hyesoon Kim:
CuPBoP: CUDA for Parallelized and Broad-range Processors. CoRR abs/2206.07896 (2022) - 2021
- [i2]Bhanu Garg, Li Zhang, Pradyumna Sridhara, Ramtin Hosseini, Eric P. Xing, Pengtao Xie:
Learning from Mistakes - A Framework for Neural Architecture Search. CoRR abs/2111.06353 (2021) - 2020
- [c1]Bhanu Garg, Naresh Manwani:
Robust Deep Ordinal Regression under Label Noise. ACML 2020: 782-796
2010 – 2019
- 2019
- [i1]Bhanu Garg, Naresh Manwani:
Robust Deep Ordinal Regression Under Label Noise. CoRR abs/1912.03488 (2019)
Coauthor Index
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