Deepak K. Gupta

According to our database, Deepak K. Gupta authored at least 65 papers between 2012 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., January, 2025

2024

Multi-class classification of breast cancer abnormality using transfer learning.

Neha Rani, Deepak Kumar Gupta, Samayveer Singh

Multim. Tools Appl., September, 2024

Preface.

Gurdeep S. Hura, Deepak Kumar Gupta

Int. J. Syst. Assur. Eng. Manag., 2024

Parameter Efficient Fine-Tuning for Deep Learning-Based Full-Waveform Inversion.

Koustav Ghosal, Abhranta Panigrahi, Arnav Chavan, ArunSingh, Deepak K. Gupta

CoRR, 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

Partial Binarization of Neural Networks for Budget-Aware Efficient Learning.

Udbhav Bamba, Neeraj Anand, Saksham Aggarwal, Dilip K. Prasad, Deepak K. Gupta

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Faster and Lighter LLMs: A Survey on Current Challenges and Way Forward.

Arnav Chavan, Raghav Magazine, Shubham Kushwaha, Mérouane Debbah, Deepak K. Gupta

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Beyond Uniform Scaling: Exploring Depth Heterogeneity in Neural Architectures.

Akash Guna R. T., Arnav Chavan, Deepak K. Gupta

Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

Rethinking Compression: Reduced order modelling of Latent Features in Large Language Models.

Arnav Chavan, Nahush Lele, Deepak K. Gupta

Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

Surgical Feature-Space Decomposition of LLMs: Why, When and How?

Arnav Chavan, Nahush Lele, Deepak K. Gupta

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

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., March, 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

Latent Graph Attention for Enhanced Spatial Context.

Ayush Singh, Yash Bhambhu, Himanshu Buckchash, Deepak K. Gupta, Dilip K. Prasad

CoRR, 2023

One-for-All: Generalized LoRA for Parameter-Efficient Fine-tuning.

Arnav Chavan, Zhuang Liu, Deepak K. Gupta, Eric P. Xing, Zhiqiang Shen

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

Patch Gradient Descent: Training Neural Networks on Very Large Images.

Deepak K. Gupta, Gowreesh Mago, Arnav Chavan, Dilip K. Prasad

CoRR, 2023

On Using Deep Learning Proxies as Forward Models in Deep Learning Problems.

Fatima Albreiki, Nidhal Belayouni, Deepak K. Gupta

CoRR, 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, Yunseung Lee, Changick Kim, Subin Kim, Ganzorig Gankhuyag, Ho Jung, Junwhan Ryu, HaeMoon Kim, Byeong Hak Kim, Tu Vo, Sheir Zaheer, Alexander Holston, Chan Y. Park, Dheemant Dixit, Nahush Lele, Kushagra Bhushan, Debjani Bhowmick, Devanshu Arya, Sadaf Gulshad, Amirhossein Habibian, Amir Ghodrati, Babak Ehteshami Bejnordi, Jai Gupta, Zhuang Liu, Jiahui Yu, Dilip K. Prasad, Zhiqiang Shen

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Implicitly Rotation Equivariant Neural Networks.

Naman Khetan, Tushar Arora, Samee Ur Rehman, Deepak K. Gupta

Proceedings of the IEEE International Conference on Acoustics, 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

Proceedings of the IEEE International Conference on Acoustics, 2023

Guided U-Net Aided Efficient Image Data Storing with Shape Preservation.

Nirwan Banerjee, Samir Malakar, Deepak Kumar Gupta, Alexander Horsch, Dilip K. Prasad

Proceedings of the Pattern Recognition - 7th Asian Conference, 2023

2022

MixBin: Towards Budgeted Binarization.

Udbhav Bamba, Neeraj Anand, Dilip K. Prasad, Deepak K. Gupta

CoRR, 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

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

Dynamic Kernel Selection for Improved Generalization and Memory Efficiency in Meta-learning.

Arnav Chavan, Rishabh Tiwari, Udbhav Bamba, Deepak K. Gupta

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Implicit Equivariance in Convolutional Networks.

Naman Khetan, Tushar Arora, Samee Ur Rehman, Deepak K. Gupta

CoRR, 2021

Improving Solar Cell Metallization Designs using Convolutional Neural Networks.

Sumit Bhattacharya, Devanshu Arya, Debjani Bhowmick, Rajat Mani Thomas, Deepak Kumar Gupta

CoRR, 2021

ChipNet: Budget-Aware Pruning with Heaviside Continuous Approximations.

Rishabh Tiwari, Udbhav Bamba, Arnav Chavan, Deepak K. Gupta

Proceedings of the 9th International Conference on Learning Representations, 2021

Rescaling CNN Through Learnable Repetition of Network Parameters.

Arnav Chavan, Udbhav Bamba, Rishabh Tiwari, Deepak K. Gupta

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Generating Annotated High-Fidelity Images Containing Multiple Coherent Objects.

Bryan G. Cardenas, Devanshu Arya, Deepak K. Gupta

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Calibrated Adversarial Refinement for Stochastic Semantic Segmentation.

Elias Kassapis, Georgi Dikov, Deepak K. Gupta, Cedric Nugteren

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 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

Proceedings of the 13th International Conference on Electronics, 2021

Rotation Equivariant Siamese Networks for Tracking.

Deepak K. Gupta, Devanshu Arya, Efstratios Gavves

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Livestock Monitoring with Transformer.

Bhavesh Tangirala, Ishan Bhandari, Dániel László, Deepak K. Gupta, Rajat Mani Thomas, Devanshu Arya

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

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

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020

HyperSAGE: Generalizing Inductive Representation Learning on Hypergraphs.

Devanshu Arya, Deepak K. Gupta, Stevan Rudinac, Marcel Worring

CoRR, 2020

Calibrated Adversarial Refinement for Multimodal Semantic Segmentation.

Elias Kassapis, Georgi Dikov, Deepak K. Gupta, Cedric Nugteren

CoRR, 2020

Automated and Accurate Geometry Extraction and Shape Optimization of 3D Topology Optimization Results.

Marco K. Swierstra, Deepak K. Gupta, Matthijs Langelaar

CoRR, 2020

Siamese Tracking of Cell Behaviour Patterns.

Andreas Panteli, Deepak K. Gupta, Nathan de Bruijn, Efstratios Gavves

Proceedings of the International Conference on Medical Imaging with Deep Learning, 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

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

Tackling Occlusion in Siamese Tracking with Structured Dropouts.

Deepak K. Gupta, Efstratios Gavves, Arnold W. M. Smeulders

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Model Decay in Long-Term Tracking.

Efstratios Gavves, Ran Tao, Deepak K. Gupta, Arnold W. M. Smeulders

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Hard Occlusions in Visual Object Tracking.

Thijs P. Kuipers, Devanshu Arya, Deepak K. Gupta

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

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

Proceedings of the Computing in Cardiology, 2020

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

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

Tracking-Assisted Segmentation of Biological Cells.

Deepak K. Gupta, Nathan de Bruijn, Andreas Panteli, Efstratios Gavves

CoRR, 2019

Unsupervised Automated Event Detection using an Iterative Clustering based Segmentation Approach.

Deepak K. Gupta, Rohit K. Shrivastava, Suhas Phadke, Jeroen Goudswaard

CoRR, 2019

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

Design and analysis adaptivity in multi-resolution topology optimization.

Deepak K. Gupta, Fred van Keulen, Matthijs Langelaar

CoRR, 2018

Deep Autoassociative Neural Networks for Noise Reduction in Seismic data.

Debjani Bhowmick, Deepak K. Gupta, Saumen Maiti, Uma Shankar

CoRR, 2018

Velocity-Porosity Supermodel: A Deep Neural Networks based concept.

Debjani Bhowmick, Deepak K. Gupta, Saumen Maiti, Uma Shankar

CoRR, 2018

Email Classification into Relevant Category Using Neural Networks.

Deepak Kumar Gupta, Shruti Goyal

CoRR, 2018

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

Proceedings of the 15th International Conference on Natural Language Processing, 2018

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

SMPOST: Parts of Speech Tagger for Code-Mixed Indic Social Media Text.

Deepak Kumar Gupta, Shubham Tripathi, Asif Ekbal, Pushpak Bhattacharyya

CoRR, 2017

2016

DoS attack detection technique using back propagation neural network.

Monika Khandelwal, Deepak Kumar Gupta, Pradeep Bhale

Proceedings of the 2016 International Conference on Advances in Computing, 2016

A Hybrid Approach for Entity Extraction in Code-Mixed Social Media Data.

Deepak Kumar Gupta, Shweta, Shubham Tripathi, Asif Ekbal, Pushpak Bhattacharyya

Proceedings of the Working notes of FIRE 2016, 2016

2015

PSO-ASent: Feature Selection Using Particle Swarm Optimization for Aspect Based Sentiment Analysis.

Deepak Kumar Gupta, Kandula Srikanth Reddy, Shweta, Asif Ekbal

Proceedings of the Natural Language Processing and Information Systems, 2015

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

J. Am. Medical Informatics Assoc., 2014

IITP: Supervised Machine Learning for Aspect based Sentiment Analysis.

Deepak Kumar Gupta, Asif Ekbal

Proceedings of the 8th International Workshop on Semantic Evaluation, 2014

Machine Learning Approach for Language Identification & Transliteration.

Deepak Kumar Gupta, Shubham Kumar, Asif Ekbal

Proceedings of the Forum for Information Retrieval Evaluation, 2014

Review Paper on Linear and Nonlinear Acoustic Echo Cancellation.

Deepak Kumar Gupta, Vijay Kumar Gupta, Mahesh Chandra

Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2014, 2014

2012

Recursive Ant Colony Optimization for estimation of parameters of a function.

Deepak K. Gupta, Yogesh Arora, Upendra K. Singh, Jai P. Gupta

Proceedings of the 1st International Conference on Recent Advances in Information Technology, 2012

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

Proceedings of the AMIA 2012, 2012