VisualBackProp for learning using privileged information with CNNs. - Devansh Bisla; Anna Choromanska (CoRR, 2018)

Towards Automated Melanoma Detection With Deep Learning: Data Purification and Augmentation. - Devansh Bisla; Anna Choromanska; Russell S. Berman; Jennifer A. Stein; David Polsky (CVPR Workshops, 2019)

Skin Lesion Segmentation and Classification with Deep Learning System. - Devansh Bisla; Anna Choromanska; Jennifer A. Stein; David Polsky; Russell S. Berman (CoRR, 2019)

A Theoretical-Empirical Approach to Estimating Sample Complexity of DNNs. - Devansh Bisla; Apoorva Nandini Saridena; Anna Choromanska (CVPR Workshops, 2021)

ESAFE: Enterprise Security and Forensics at Scale. - Bernard McShea; Kevin Wright; Denley Lam; Steve Schmidt; Anna Choromanska; Devansh Bisla; Shihong Fang; Alireza Sarmadi; Prashanth Krishnamurthy; Farshad Khorrami (CoRR, 2021)

Low-Pass Filtering SGD for Recovering Flat Optima in the Deep Learning Optimization Landscape. - Devansh Bisla; Jing Wang 178; Anna Choromanska (AISTATS, 2022)

ERASE-Net: Efficient Segmentation Networks for Automotive Radar Signals. - Shihong Fang; Haoran Zhu; Devansh Bisla; Anna Choromanska; Satish Ravindran; Dongyin Ren; Ryan Wu (ICRA, 2023)

Automatic document classification via transformers for regulations compliance management in large utility companies. - Tolga Dimlioglu; Jing Wang 178; Devansh Bisla; Anna Choromanska; Simon Odie; Leon Bukhman; Afolabi Olomola; James D. Wong (Neural Comput. Appl., 2023)

Data Scaling Laws for End-to-End Autonomous Driving. - Alexander Naumann; Xunjiang Gu; Tolga Dimlioglu; Mariusz Bojarski; Alperen Degirmenci; Alexander Popov; Devansh Bisla; Marco Pavone 001; Urs Muller; Boris Ivanovic (CVPR Workshops, 2025)