Deepak K. Gupta

Orcid: 0000-0003-0994-9282

According to our database1, Deepak K. Gupta authored at least 58 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

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

Partial Binarization of Neural Networks for Budget-Aware Efficient Learning.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
A reversible data hiding technique using lower magnitude error channel pair selection.
Multim. Tools Appl., March, 2023

Rethinking Compression: Reduced Order Modelling of Latent Features in Large Language Models.
CoRR, 2023

Latent Graph Attention for Enhanced Spatial Context.
CoRR, 2023

One-for-All: Generalized LoRA for Parameter-Efficient Fine-tuning.
CoRR, 2023

Aux-Drop: Handling Haphazard Inputs in Online Learning Using Auxiliary Dropouts.
CoRR, 2023

Data-Efficient Training of CNNs and Transformers with Coresets: A Stability Perspective.
CoRR, 2023

Patch Gradient Descent: Training Neural Networks on Very Large Images.
CoRR, 2023

On Using Deep Learning Proxies as Forward Models in Deep Learning Problems.
CoRR, 2023

Implicitly Rotation Equivariant Neural Networks.
Proceedings of the IEEE International Conference on Acoustics, 2023

On Designing Light-Weight Object Trackers Through Network Pruning: Use CNNS or Transformers?
Proceedings of the IEEE International Conference on Acoustics, 2023

Guided U-Net Aided Efficient Image Data Storing with Shape Preservation.
Proceedings of the Pattern Recognition - 7th Asian Conference, 2023

2022
MixBin: Towards Budgeted Binarization.
CoRR, 2022

UltraMNIST Classification: A Benchmark to Train CNNs for Very Large Images.
CoRR, 2022

Improved Squirrel Search Algorithm Driven Cascaded 2DOF-PID-FOI Controller for Load Frequency Control of Renewable Energy Based Hybrid Power System.
IEEE Access, 2022

Dynamic Kernel Selection for Improved Generalization and Memory Efficiency in Meta-learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Implicit Equivariance in Convolutional Networks.
CoRR, 2021

Adaptive Neural Message Passing for Inductive Learning on Hypergraphs.
CoRR, 2021

Improving Solar Cell Metallization Designs using Convolutional Neural Networks.
CoRR, 2021

ChipNet: Budget-Aware Pruning with Heaviside Continuous Approximations.
Proceedings of the 9th International Conference on Learning Representations, 2021

Rescaling CNN Through Learnable Repetition of Network Parameters.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Generating Annotated High-Fidelity Images Containing Multiple Coherent Objects.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Calibrated Adversarial Refinement for Stochastic Semantic Segmentation.
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.
Proceedings of the 13th International Conference on Electronics, 2021

Rotation Equivariant Siamese Networks for Tracking.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Livestock Monitoring with Transformer.
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.
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.
CoRR, 2020

Calibrated Adversarial Refinement for Multimodal Semantic Segmentation.
CoRR, 2020

Automated and Accurate Geometry Extraction and Shape Optimization of 3D Topology Optimization Results.
CoRR, 2020

Siamese Tracking of Cell Behaviour Patterns.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

Fusing Structural and Functional MRIs using Graph Convolutional Networks for Autism Classification.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

Tackling Occlusion in Siamese Tracking with Structured Dropouts.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Model Decay in Long-Term Tracking.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Hard Occlusions in Visual Object Tracking.
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.
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.
Wirel. Pers. Commun., 2019

New optimal variable step size-adaptive regularized-affine projection algorithm.
Int. J. Speech Technol., 2019

Tracking-Assisted Segmentation of Biological Cells.
CoRR, 2019

Unsupervised Automated Event Detection using an Iterative Clustering based Segmentation Approach.
CoRR, 2019

2018
Real-Time Implementation of Parallel Architecture Based Noise Minimization from Speech Signals on FPGA.
Wirel. Pers. Commun., 2018

Design and analysis adaptivity in multi-resolution topology optimization.
CoRR, 2018

Deep Autoassociative Neural Networks for Noise Reduction in Seismic data.
CoRR, 2018

Velocity-Porosity Supermodel: A Deep Neural Networks based concept.
CoRR, 2018

Email Classification into Relevant Category Using Neural Networks.
CoRR, 2018

Helping each Other: A Framework for Customer-to-Customer Suggestion Mining using a Semi-supervised Deep Neural Network.
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.
Knowl. Based Syst., 2017

SMPOST: Parts of Speech Tagger for Code-Mixed Indic Social Media Text.
CoRR, 2017

2016
DoS attack detection technique using back propagation neural network.
Proceedings of the 2016 International Conference on Advances in Computing, 2016

A Hybrid Approach for Entity Extraction in Code-Mixed Social Media Data.
Proceedings of the Working notes of FIRE 2016, 2016

2015
PSO-ASent: Feature Selection Using Particle Swarm Optimization for Aspect Based Sentiment Analysis.
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.
J. Am. Medical Informatics Assoc., 2014

IITP: Supervised Machine Learning for Aspect based Sentiment Analysis.
Proceedings of the 8th International Workshop on Semantic Evaluation, 2014

Machine Learning Approach for Language Identification & Transliteration.
Proceedings of the Forum for Information Retrieval Evaluation, 2014

Review Paper on Linear and Nonlinear Acoustic Echo Cancellation.
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.
Proceedings of the 1st International Conference on Recent Advances in Information Technology, 2012

OPIC: Ontology-driven Patient Information Capturing System for Epilepsy.
Proceedings of the AMIA 2012, 2012


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