| 2024 | ACL | Surgical Feature-Space Decomposition of LLMs: Why, When and How? | Arnav Chavan, Nahush Lele, Deepak K. Gupta |
| 2024 | ICLR | Rethinking Compression: Reduced order modelling of Latent Features in Large Language Models. | Arnav Chavan, Nahush Lele, Deepak K. Gupta |
| 2024 | ICLR | Beyond Uniform Scaling: Exploring Depth Heterogeneity in Neural Architectures. | Akash Guna R. T., Arnav Chavan, Deepak K. Gupta |
| 2024 | IJCAI | Faster and Lighter LLMs: A Survey on Current Challenges and Way Forward. | Arnav Chavan, Raghav Magazine, Shubham Kushwaha, Mrouane Debbah, Deepak K. Gupta |
| 2024 | WACV | Partial Binarization of Neural Networks for Budget-Aware Efficient Learning. | Udbhav Bamba, Neeraj Anand, Saksham Aggarwal, Dilip K. Prasad, Deepak K. Gupta |
| 2023 | ICASSP | On Designing Light-Weight Object Trackers Through Network Pruning: Use CNNS or Transformers? | Saksham Aggarwal, Taneesh Gupta, Pawan Kumar Sahu, Arnav Chavan, Rishabh Tiwari, Dilip K. Prasad, Deepak K. Gupta |
| 2023 | ICASSP | Implicitly Rotation Equivariant Neural Networks. | Naman Khetan, Tushar Arora, Samee Ur Rehman, Deepak K. Gupta |
| 2022 | CVPR | Dynamic Kernel Selection for Improved Generalization and Memory Efficiency in Meta-learning. | Arnav Chavan, Rishabh Tiwari, Udbhav Bamba, Deepak K. Gupta |
| 2021 | AMIA | Parkinson and movement disorders ontology for clinically-oriented and clinicians-driven data mining of multi-center cohorts in Parkinson's disease. | Deepak K. Gupta, Massimo Marano, Raj Aurora, James Boyd, Satya S. Sahoo |
| 2021 | BMVC | Livestock Monitoring with Transformer. | Bhavesh Tangirala, Ishan Bhandari, Dniel Lszl, Deepak K. Gupta, Rajat Mani Thomas, Devanshu Arya |
| 2021 | CVPR | Rotation Equivariant Siamese Networks for Tracking. | Deepak K. Gupta, Devanshu Arya, Efstratios Gavves |
| 2021 | ICCV | Calibrated Adversarial Refinement for Stochastic Semantic Segmentation. | Elias Kassapis, Georgi Dikov, Deepak K. Gupta, Cedric Nugteren |
| 2021 | ICIP | Generating Annotated High-Fidelity Images Containing Multiple Coherent Objects. | Bryan G. Cardenas, Devanshu Arya, Deepak K. Gupta |
| 2021 | ICIP | Rescaling CNN Through Learnable Repetition of Network Parameters. | Arnav Chavan, Udbhav Bamba, Rishabh Tiwari, Deepak K. Gupta |
| 2021 | ICLR | ChipNet: Budget-Aware Pruning with Heaviside Continuous Approximations. | Rishabh Tiwari, Udbhav Bamba, Arnav Chavan, Deepak K. Gupta |
| 2020 | ECCV | Hard Occlusions in Visual Object Tracking. | Thijs P. Kuipers, Devanshu Arya, Deepak K. Gupta |
| 2020 | ICPR | Model Decay in Long-Term Tracking. | Efstratios Gavves, Ran Tao, Deepak K. Gupta, Arnold W. M. Smeulders |
| 2020 | ICPR | Tackling Occlusion in Siamese Tracking with Structured Dropouts. | Deepak K. Gupta, Efstratios Gavves, Arnold W. M. Smeulders |
| 2012 | AMIA | OPIC: Ontology-driven Patient Information Capturing System for Epilepsy. | Satya Sanket Sahoo, Meng Zhao, Lingyun Luo, Alireza Bozorgi, Deepak K. Gupta, Samden D. Lhatoo, Guo-Qiang Zhang |