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 001 (AMIA, 2012)

Recursive Ant Colony Optimization for estimation of parameters of a function. - Deepak K. Gupta; Yogesh Arora; Upendra K. Singh 001; Jai P. Gupta 001 (RAIT, 2012)

Review Paper on Linear and Nonlinear Acoustic Echo Cancellation. - Deepak Kumar Gupta; Vijay Kumar Gupta; Mahesh Chandra (FICTA (2), 2014)

Machine Learning Approach for Language Identification & Transliteration. - Deepak Kumar Gupta; Shubham Kumar; Asif Ekbal (FIRE, 2014)

IITP: Supervised Machine Learning for Aspect based Sentiment Analysis. - Deepak Kumar Gupta; Asif Ekbal (SemEval@COLING, 2014)

Epilepsy and seizure ontology: towards an epilepsy informatics infrastructure for clinical research and patient care. - Satya Sanket Sahoo; Samden D. Lhatoo; Deepak K. Gupta; Licong Cui; Meng Zhao; Catherine P. Jayapandian; Alireza Bozorgi; Guo-Qiang Zhang 001 (J. Am. Medical Informatics Assoc., 2014)

PSO-ASent: Feature Selection Using Particle Swarm Optimization for Aspect Based Sentiment Analysis. - Deepak Kumar Gupta; Kandula Srikanth Reddy; Shweta 001; Asif Ekbal (NLDB, 2015)

A Hybrid Approach for Entity Extraction in Code-Mixed Social Media Data. - Deepak Kumar Gupta; Shweta 001; Shubham Tripathi; Asif Ekbal; Pushpak Bhattacharyya (FIRE (Working Notes), 2016)

DoS attack detection technique using back propagation neural network. - Monika Khandelwal; Deepak Kumar Gupta; Pradeepkumar Bhale (ICACCI, 2016)

SMPOST: Parts of Speech Tagger for Code-Mixed Indic Social Media Text. - Deepak Kumar Gupta; Shubham Tripathi; Asif Ekbal; Pushpak Bhattacharyya (CoRR, 2017)

Feature selection and ensemble construction: A two-step method for aspect based sentiment analysis. - Md. Shad Akhtar; Deepak Kumar Gupta; Asif Ekbal; Pushpak Bhattacharyya (Knowl. Based Syst., 2017)

Helping each Other: A Framework for Customer-to-Customer Suggestion Mining using a Semi-supervised Deep Neural Network. - Hitesh Golchha; Deepak K. Gupta; Asif Ekbal; Pushpak Bhattacharyya (ICON, 2018)

Email Classification into Relevant Category Using Neural Networks. - Deepak Kumar Gupta; Shruti Goyal (CoRR, 2018)

Velocity-Porosity Supermodel: A Deep Neural Networks based concept. - Debjani Bhowmick; Deepak K. Gupta; Saumen Maiti; Uma Shankar (CoRR, 2018)

Deep Autoassociative Neural Networks for Noise Reduction in Seismic data. - Debjani Bhowmick; Deepak K. Gupta; Saumen Maiti; Uma Shankar (CoRR, 2018)

Design and analysis adaptivity in multi-resolution topology optimization. - Deepak K. Gupta; Fred van Keulen; Matthijs Langelaar (CoRR, 2018)

Real-Time Implementation of Parallel Architecture Based Noise Minimization from Speech Signals on FPGA. - Deepak Kumar Gupta; Vijay Kumar Gupta; Mahesh Chandra; Gaurav Verma (Wirel. Pers. Commun., 2018)

Unsupervised Automated Event Detection using an Iterative Clustering based Segmentation Approach. - Deepak K. Gupta; Rohit K. Shrivastava; Suhas Phadke; Jeroen Goudswaard (CoRR, 2019)

Tracking-Assisted Segmentation of Biological Cells. - Deepak K. Gupta; Nathan de Bruijn; Andreas Panteli; Efstratios Gavves (CoRR, 2019)

New optimal variable step size-adaptive regularized-affine projection algorithm. - Deepak Kumar Gupta; Vijay Kumar Gupta; Mahesh Chandra; Achyuta Nand Mishra (Int. J. Speech Technol., 2019)

Performance Analysis of MSFRLS-VFF Based Real-Time Adaptive Noise Canceller with RLS and APA Algorithms Using TMS320C6713 Processor. - Deepak Kumar Gupta; Vijay Kumar Gupta; Mahesh Chandra; Bishwajeet Pandey (Wirel. Pers. Commun., 2019)

Automated Comprehensive Interpretation of 12-lead Electrocardiograms Using Pre-trained Exponentially Dilated Causal Convolutional Neural Networks. - Max N. Bos; Rutger R. van de Leur; Jeroen F. Vranken; Deepak K. Gupta; Pim van der Harst; Pieter A. F. M. Doevendans; René van Es (CinC, 2020)

Hard Occlusions in Visual Object Tracking. - Thijs P. Kuipers; Devanshu Arya; Deepak K. Gupta (ECCV Workshops (5), 2020)

Model Decay in Long-Term Tracking. - Efstratios Gavves; Ran Tao 004; Deepak K. Gupta; Arnold W. M. Smeulders (ICPR, 2020)

Tackling Occlusion in Siamese Tracking with Structured Dropouts. - Deepak K. Gupta; Efstratios Gavves; Arnold W. M. Smeulders (ICPR, 2020)

Fusing Structural and Functional MRIs using Graph Convolutional Networks for Autism Classification. - Devanshu Arya; Richard Olij; Deepak K. Gupta; Ahmed El Gazzar; Guido van Wingen; Marcel Worring; Rajat Mani Thomas (MIDL, 2020)

Siamese Tracking of Cell Behaviour Patterns. - Andreas Panteli; Deepak K. Gupta; Nathan de Bruijn; Efstratios Gavves (MIDL, 2020)

Automated and Accurate Geometry Extraction and Shape Optimization of 3D Topology Optimization Results. - Marco K. Swierstra; Deepak K. Gupta; Matthijs Langelaar (CoRR, 2020)

Calibrated Adversarial Refinement for Multimodal Semantic Segmentation. - Elias Kassapis; Georgi Dikov; Deepak K. Gupta; Cedric Nugteren (CoRR, 2020)

HyperSAGE: Generalizing Inductive Representation Learning on Hypergraphs. - Devanshu Arya; Deepak K. Gupta; Stevan Rudinac; Marcel Worring (CoRR, 2020)

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 (AMIA, 2021)

Livestock Monitoring with Transformer. - Bhavesh Tangirala; Ishan Bhandari; Dániel László; Deepak K. Gupta; Rajat Mani Thomas; Devanshu Arya (BMVC, 2021)

Rotation Equivariant Siamese Networks for Tracking. - Deepak K. Gupta; Devanshu Arya; Efstratios Gavves (CVPR, 2021)

An Improved Particle Swarm Optimization Technique and its Application in Load Frequency Control. - Bhargav Appasani; Amitkumar Vidyakant Jha; Deepak Kumar Gupta; Nicu Bizon; Avireni Srinivasulu (ECAI, 2021)

Calibrated Adversarial Refinement for Stochastic Semantic Segmentation. - Elias Kassapis; Georgi Dikov; Deepak K. Gupta; Cedric Nugteren (ICCV, 2021)

Generating Annotated High-Fidelity Images Containing Multiple Coherent Objects. - Bryan G. Cardenas; Devanshu Arya; Deepak K. Gupta (ICIP, 2021)

Rescaling CNN Through Learnable Repetition of Network Parameters. - Arnav Chavan; Udbhav Bamba; Rishabh Tiwari; Deepak K. Gupta (ICIP, 2021)

ChipNet: Budget-Aware Pruning with Heaviside Continuous Approximations. - Rishabh Tiwari; Udbhav Bamba; Arnav Chavan; Deepak K. Gupta (ICLR, 2021)

Improving Solar Cell Metallization Designs using Convolutional Neural Networks. - Sumit Bhattacharya; Devanshu Arya; Debjani Bhowmick; Rajat Mani Thomas; Deepak Kumar Gupta (CoRR, 2021)

Implicit Equivariance in Convolutional Networks. - Naman Khetan; Tushar Arora; Samee Ur Rehman; Deepak K. Gupta (CoRR, 2021)

Dynamic Kernel Selection for Improved Generalization and Memory Efficiency in Meta-learning. - Arnav Chavan; Rishabh Tiwari; Udbhav Bamba; Deepak K. Gupta (CVPR, 2022)

Improved Squirrel Search Algorithm Driven Cascaded 2DOF-PID-FOI Controller for Load Frequency Control of Renewable Energy Based Hybrid Power System. - Geetanjali Dei; Deepak Kumar Gupta; Binod Kumar Sahu; Amitkumar Vidyakant Jha; Bhargav Appasani; Hossam M. Zawbaa; Salah Kamel (IEEE Access, 2022)

UltraMNIST Classification: A Benchmark to Train CNNs for Very Large Images. - Deepak K. Gupta; Udbhav Bamba; Abhishek Thakur; Akash Gupta; Suraj Sharan; Ertugrul Demir; Dilip K. Prasad (CoRR, 2022)

MixBin: Towards Budgeted Binarization. - Udbhav Bamba; Neeraj Anand; Dilip K. Prasad; Deepak K. Gupta (CoRR, 2022)

Guided U-Net Aided Efficient Image Data Storing with Shape Preservation. - Nirwan Banerjee; Samir Malakar; Deepak Kumar Gupta; Alexander Horsch; Dilip K. Prasad (ACPR (1), 2023)

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 (ICASSP, 2023)

Implicitly Rotation Equivariant Neural Networks. - Naman Khetan; Tushar Arora; Samee Ur Rehman; Deepak K. Gupta (ICASSP, 2023)

RCV2023 Challenges: Benchmarking Model Training and Inference for Resource-Constrained Deep Learning. - Rishabh Tiwari; Arnav Chavan; Deepak K. Gupta; Gowreesh Mago; Animesh Gupta; Akash Gupta; Suraj Sharan; Yukun Yang; Shanwei Zhao; Shihao Wang; Youngjun Kwak; Seonghun Jeong; et al. (ICCV (Workshops), 2023)

On Using Deep Learning Proxies as Forward Models in Deep Learning Problems. - Fatima Albreiki; Nidhal Belayouni; Deepak K. Gupta (CoRR, 2023)

Patch Gradient Descent: Training Neural Networks on Very Large Images. - Deepak K. Gupta; Gowreesh Mago; Arnav Chavan; Dilip K. Prasad (CoRR, 2023)

Data-Efficient Training of CNNs and Transformers with Coresets: A Stability Perspective. - Animesh Gupta; Irtiza Hasan; Dilip K. Prasad; Deepak K. Gupta (CoRR, 2023)

One-for-All: Generalized LoRA for Parameter-Efficient Fine-tuning. - Arnav Chavan; Zhuang Liu 003; Deepak K. Gupta; Eric P. Xing; Zhiqiang Shen (CoRR, 2023)

Latent Graph Attention for Enhanced Spatial Context. - Ayush Singh; Yash Bhambhu; Himanshu Buckchash; Deepak K. Gupta; Dilip K. Prasad (CoRR, 2023)

Aux-Drop: Handling Haphazard Inputs in Online Learning Using Auxiliary Dropouts. - Rohit Agarwal; Deepak K. Gupta; Alexander Horsch; Dilip K. Prasad (Trans. Mach. Learn. Res., 2023)

A reversible data hiding technique using lower magnitude error channel pair selection. - Sanjiu Raja Brahma; Samayveer Singh; Deepak Kumar Gupta; Aruna Malik (Multim. Tools Appl., 2023)

Surgical Feature-Space Decomposition of LLMs: Why, When and How? - Arnav Chavan; Nahush Lele; Deepak K. Gupta (ACL (1), 2024)

Rethinking Compression: Reduced order modelling of Latent Features in Large Language Models. - Arnav Chavan; Nahush Lele; Deepak K. Gupta (Tiny Papers @ ICLR, 2024)

Beyond Uniform Scaling: Exploring Depth Heterogeneity in Neural Architectures. - Akash Guna R. T.; Arnav Chavan; Deepak K. Gupta (Tiny Papers @ ICLR, 2024)

Faster and Lighter LLMs: A Survey on Current Challenges and Way Forward. - Arnav Chavan; Raghav Magazine; Shubham Kushwaha; Mérouane Debbah; Deepak K. Gupta (IJCAI, 2024)

Partial Binarization of Neural Networks for Budget-Aware Efficient Learning. - Udbhav Bamba; Neeraj Anand; Saksham Aggarwal; Dilip K. Prasad; Deepak K. Gupta (WACV, 2024)

Enhancing Deep Learning based RMT Data Inversion using Gaussian Random Field. - Koustav Ghosal; Arun Singh; Samir Malakar; Shalivahan Srivastava; Deepak K. Gupta (CoRR, 2024)

Parameter Efficient Fine-Tuning for Deep Learning-Based Full-Waveform Inversion. - Koustav Ghosal; Abhranta Panigrahi; Arnav Chavan; ArunSingh; Deepak K. Gupta (CoRR, 2024)

Preface. - Gurdeep S. Hura 001; Deepak Kumar Gupta (Int. J. Syst. Assur. Eng. Manag., 2024)

Pushing the Limits of Gradient Descent for Efficient Learning on Large Images. - Deepak K. Gupta; Gowreesh Mago; Arnav Chavan; Dilip K. Prasad; Rajat Mani Thomas (Trans. Mach. Learn. Res., 2024)

Multi-class classification of breast cancer abnormality using transfer learning. - Neha Rani; Deepak Kumar Gupta; Samayveer Singh (Multim. Tools Appl., 2024)

Rethinking the Value of Training-Free Structured Pruning of LLMs. - Nahush Lele; Arnav Chavan; Aryamaan Thakur; Deepak K. Gupta (Trans. Mach. Learn. Res., 2025)

Adaptive Neural Message Passing for Inductive Learning on Hypergraphs. - Devanshu Arya; Deepak K. Gupta; Stevan Rudinac; Marcel Worring (IEEE Trans. Pattern Anal. Mach. Intell., 2025)