Robust Deep Ordinal Regression under Label Noise. - Bhanu Garg; Naresh Manwani (ACML, 2020)

From Video to Images: Contrastive Pretraining for Emotion Recognition from Single Image (Student Abstract). - Bhanu Garg; Kijun Kim; Sudhanshu Ranjan (AAAI, 2022)

Learning from Mistakes - a Framework for Neural Architecture Search. - Bhanu Garg; Li Zhang; Pradyumna Sridhara; Ramtin Hosseini; Eric P. Xing; Pengtao Xie (AAAI, 2022)

CuPBoP: CUDA for Parallelized and Broad-range Processors. - Ruobing Han; Jun Chen; Bhanu Garg; Jeffrey Young 001; Jaewoong Sim; Hyesoon Kim (CoRR, 2022)

Short: Deep Learning Approach to Skeletal Performance Evaluation of Physical Therapy Exercises. - Bhanu Garg; Alexander Postlmayr; Pamela C. Cosman; Sujit Dey (CHASE, 2023)

Fair and Accurate Decision Making through Group-Aware Learning. - Ramtin Hosseini; Li Zhang; Bhanu Garg; Pengtao Xie (ICML, 2023)

CuPBoP: A Framework to Make CUDA Portable. - Ruobing Han; Jun Chen; Bhanu Garg; Jeffrey Young 001; Jaewoong Sim; Hyesoon Kim (PPoPP, 2023)

Learning by Grouping: A Multilevel Optimization Framework for Improving Fairness in Classification without Losing Accuracy. - Ramtin Hosseini; Li Zhang; Bhanu Garg; Pengtao Xie (CoRR, 2023)

CuPBoP: Making CUDA a Portable Language. - Ruobing Han; Jun Chen; Bhanu Garg; Xule Zhou; John Lu; Jeffrey Young 001; Jaewoong Sim; Hyesoon Kim (ACM Trans. Design Autom. Electr. Syst., 2024)

Learning From Mistakes: A Multilevel Optimization Framework. - Li Zhang; Bhanu Garg; Pradyumna Sridhara; Ramtin Hosseini; Pengtao Xie (IEEE Trans. Artif. Intell., 2025)