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Deepak K. Gupta
Deepak Kumar Gupta
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2020 – today
- 2024
- [j10]Neha Rani
, Deepak Kumar Gupta, Samayveer Singh
Multi-class classification of breast cancer abnormality using transfer learning. Multim. Tools Appl. 83(30): 75085-75100 (2024) - [j9]Gurdeep S. Hura, Deepak Kumar Gupta:
Preface. Int. J. Syst. Assur. Eng. Manag. 15(2): 577 (2024) - [c33]Arnav Chavan, Nahush Lele, Deepak K. Gupta:
Surgical Feature-Space Decomposition of LLMs: Why, When and How? ACL (1) 2024: 2389-2400 - [c32]Arnav Chavan, Nahush Lele, Deepak K. Gupta:
Rethinking Compression: Reduced order modelling of Latent Features in Large Language Models. Tiny Papers @ ICLR 2024 - [c31]Akash Guna R. T., Arnav Chavan, Deepak K. Gupta:
Beyond Uniform Scaling: Exploring Depth Heterogeneity in Neural Architectures. Tiny Papers @ ICLR 2024 - [c30]Arnav Chavan, Raghav Magazine, Shubham Kushwaha, Mérouane Debbah, Deepak K. Gupta:
Faster and Lighter LLMs: A Survey on Current Challenges and Way Forward. IJCAI 2024: 7980-7988 - [c29]Udbhav Bamba, Neeraj Anand, Saksham Aggarwal, Dilip K. Prasad, Deepak K. Gupta:
Partial Binarization of Neural Networks for Budget-Aware Efficient Learning. WACV 2024: 2325-2334 - [i36]Arnav Chavan, Raghav Magazine, Shubham Kushwaha, Mérouane Debbah, Deepak K. Gupta:
Faster and Lighter LLMs: A Survey on Current Challenges and Way Forward. CoRR abs/2402.01799 (2024) - [i35]Akash Guna R. T., Arnav Chavan, Deepak K. Gupta:
Beyond Uniform Scaling: Exploring Depth Heterogeneity in Neural Architectures. CoRR abs/2402.12418 (2024) - [i34]Arnav Chavan, Nahush Lele, Deepak K. Gupta:
Surgical Feature-Space Decomposition of LLMs: Why, When and How? CoRR abs/2405.13039 (2024) - 2023
- [j8]Sanjiu Raja Brahma, Samayveer Singh, Deepak Kumar Gupta, Aruna Malik:
A reversible data hiding technique using lower magnitude error channel pair selection. Multim. Tools Appl. 82(6): 8467-8488 (2023) - [j7]Rohit Agarwal, Deepak K. Gupta, Alexander Horsch, Dilip K. Prasad:
Aux-Drop: Handling Haphazard Inputs in Online Learning Using Auxiliary Dropouts. Trans. Mach. Learn. Res. 2023 (2023) - [c28]Nirwan Banerjee, Samir Malakar, Deepak Kumar Gupta, Alexander Horsch, Dilip K. Prasad:
Guided U-Net Aided Efficient Image Data Storing with Shape Preservation. ACPR (1) 2023: 317-330 - [c27]Saksham Aggarwal, Taneesh Gupta, Pawan Kumar Sahu, Arnav Chavan, Rishabh Tiwari, Dilip K. Prasad, Deepak K. Gupta:
On Designing Light-Weight Object Trackers Through Network Pruning: Use CNNS or Transformers? ICASSP 2023: 1-5 - [c26]Naman Khetan, Tushar Arora, Samee Ur Rehman, Deepak K. Gupta:
Implicitly Rotation Equivariant Neural Networks. ICASSP 2023: 1-5 - [c25]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:
RCV2023 Challenges: Benchmarking Model Training and Inference for Resource-Constrained Deep Learning. ICCV (Workshops) 2023: 1526-1535 - [i33]Fatima Albreiki, Nidhal Belayouni, Deepak K. Gupta:
On Using Deep Learning Proxies as Forward Models in Deep Learning Problems. CoRR abs/2301.07102 (2023) - [i32]Deepak K. Gupta, Gowreesh Mago, Arnav Chavan, Dilip K. Prasad:
Patch Gradient Descent: Training Neural Networks on Very Large Images. CoRR abs/2301.13817 (2023) - [i31]Animesh Gupta, Irtiza Hasan, Dilip K. Prasad, Deepak K. Gupta:
Data-Efficient Training of CNNs and Transformers with Coresets: A Stability Perspective. CoRR abs/2303.02095 (2023) - [i30]Rohit Agarwal
Aux-Drop: Handling Haphazard Inputs in Online Learning Using Auxiliary Dropouts. CoRR abs/2303.05155 (2023) - [i29]Arnav Chavan, Zhuang Liu, Deepak K. Gupta, Eric P. Xing, Zhiqiang Shen:
One-for-All: Generalized LoRA for Parameter-Efficient Fine-tuning. CoRR abs/2306.07967 (2023) - [i28]Ayush Singh, Yash Bhambhu, Himanshu Buckchash, Deepak K. Gupta, Dilip K. Prasad:
Latent Graph Attention for Enhanced Spatial Context. CoRR abs/2307.04149 (2023) - [i27]Arnav Chavan, Nahush Lele, Deepak K. Gupta:
Rethinking Compression: Reduced Order Modelling of Latent Features in Large Language Models. CoRR abs/2312.07046 (2023) - 2022
- [j6]Geetanjali Dei, Deepak Kumar Gupta
Improved Squirrel Search Algorithm Driven Cascaded 2DOF-PID-FOI Controller for Load Frequency Control of Renewable Energy Based Hybrid Power System. IEEE Access 10: 46372-46391 (2022) - [c24]Arnav Chavan, Rishabh Tiwari, Udbhav Bamba, Deepak K. Gupta:
Dynamic Kernel Selection for Improved Generalization and Memory Efficiency in Meta-learning. CVPR 2022: 9841-9850 - [i26]Arnav Chavan, Rishabh Tiwari, Udbhav Bamba, Deepak K. Gupta:
Dynamic Kernel Selection for Improved Generalization and Memory Efficiency in Meta-learning. CoRR abs/2206.01690 (2022) - [i25]Deepak K. Gupta, Udbhav Bamba, Abhishek Thakur, Akash Gupta, Suraj Sharan, Ertugrul Demir, Dilip K. Prasad:
UltraMNIST Classification: A Benchmark to Train CNNs for Very Large Images. CoRR abs/2206.12681 (2022) - [i24]Udbhav Bamba, Neeraj Anand, Dilip K. Prasad, Deepak K. Gupta:
MixBin: Towards Budgeted Binarization. CoRR abs/2211.06739 (2022) - [i23]Saksham Aggarwal, Taneesh Gupta, Pawan Kumar Sahu, Arnav Chavan, Rishabh Tiwari, Dilip K. Prasad, Deepak K. Gupta:
On designing light-weight object trackers through network pruning: Use CNNs or transformers? CoRR abs/2211.13769 (2022) - 2021
- [c23]Deepak K. Gupta, Massimo Marano, Raj Aurora, James Boyd, Satya S. Sahoo:
Parkinson and movement disorders ontology for clinically-oriented and clinicians-driven data mining of multi-center cohorts in Parkinson's disease. AMIA 2021 - [c22]Bhavesh Tangirala, Ishan Bhandari, Dániel László, Deepak K. Gupta, Rajat Mani Thomas, Devanshu Arya:
Livestock Monitoring with Transformer. BMVC 2021: 323 - [c21]Deepak K. Gupta, Devanshu Arya, Efstratios Gavves:
Rotation Equivariant Siamese Networks for Tracking. CVPR 2021: 12362-12371 - [c20]Bhargav Appasani, Amitkumar Vidyakant Jha
An Improved Particle Swarm Optimization Technique and its Application in Load Frequency Control. ECAI 2021: 1-5 - [c19]Elias Kassapis, Georgi Dikov, Deepak K. Gupta, Cedric Nugteren:
Calibrated Adversarial Refinement for Stochastic Semantic Segmentation. ICCV 2021: 7037-7047 - [c18]Arnav Chavan, Udbhav Bamba, Rishabh Tiwari, Deepak K. Gupta:
Rescaling CNN Through Learnable Repetition of Network Parameters. ICIP 2021: 754-758 - [c17]Bryan G. Cardenas, Devanshu Arya, Deepak K. Gupta:
Generating Annotated High-Fidelity Images Containing Multiple Coherent Objects. ICIP 2021: 834-838 - [c16]Rishabh Tiwari, Udbhav Bamba, Arnav Chavan, Deepak K. Gupta:
ChipNet: Budget-Aware Pruning with Heaviside Continuous Approximations. ICLR 2021 - [i22]Arnav Chavan, Udbhav Bamba, Rishabh Tiwari, Deepak K. Gupta:
Rescaling CNN through Learnable Repetition of Network Parameters. CoRR abs/2101.05650 (2021) - [i21]Rishabh Tiwari, Udbhav Bamba, Arnav Chavan, Deepak K. Gupta:
ChipNet: Budget-Aware Pruning with Heaviside Continuous Approximations. CoRR abs/2102.07156 (2021) - [i20]Sumit Bhattacharya, Devanshu Arya, Debjani Bhowmick, Rajat Mani Thomas, Deepak Kumar Gupta:
Improving Solar Cell Metallization Designs using Convolutional Neural Networks. CoRR abs/2104.04017 (2021) - [i19]Devanshu Arya, Deepak K. Gupta, Stevan Rudinac, Marcel Worring:
Adaptive Neural Message Passing for Inductive Learning on Hypergraphs. CoRR abs/2109.10683 (2021) - [i18]Bhavesh Tangirala, Ishan Bhandari, Dániel László, Deepak K. Gupta, Rajat Mani Thomas, Devanshu Arya:
Livestock Monitoring with Transformer. CoRR abs/2111.00801 (2021) - [i17]Naman Khetan, Tushar Arora, Samee Ur Rehman, Deepak K. Gupta:
Implicit Equivariance in Convolutional Networks. CoRR abs/2111.14157 (2021) - 2020
- [c15]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:
Automated Comprehensive Interpretation of 12-lead Electrocardiograms Using Pre-trained Exponentially Dilated Causal Convolutional Neural Networks. CinC 2020: 1-4 - [c14]Thijs P. Kuipers
Hard Occlusions in Visual Object Tracking. ECCV Workshops (5) 2020: 299-314 - [c13]Efstratios Gavves, Ran Tao, Deepak K. Gupta, Arnold W. M. Smeulders:
Model Decay in Long-Term Tracking. ICPR 2020: 2685-2692 - [c12]Deepak K. Gupta, Efstratios Gavves, Arnold W. M. Smeulders:
Tackling Occlusion in Siamese Tracking with Structured Dropouts. ICPR 2020: 5804-5811 - [c11]Devanshu Arya, Richard Olij, Deepak K. Gupta, Ahmed El Gazzar, Guido van Wingen, Marcel Worring, Rajat Mani Thomas:
Fusing Structural and Functional MRIs using Graph Convolutional Networks for Autism Classification. MIDL 2020: 44-61 - [c10]Andreas Panteli, Deepak K. Gupta, Nathan de Bruijn, Efstratios Gavves:
Siamese Tracking of Cell Behaviour Patterns. MIDL 2020: 570-587 - [i16]Marco K. Swierstra, Deepak K. Gupta, Matthijs Langelaar:
Automated and Accurate Geometry Extraction and Shape Optimization of 3D Topology Optimization Results. CoRR abs/2004.05448 (2020) - [i15]Bryan G. Cardenas, Devanshu Arya, Deepak K. Gupta:
Generating Annotated High-Fidelity Images Containing Multiple Coherent Objects. CoRR abs/2006.12150 (2020) - [i14]Elias Kassapis, Georgi Dikov, Deepak K. Gupta, Cedric Nugteren:
Calibrated Adversarial Refinement for Multimodal Semantic Segmentation. CoRR abs/2006.13144 (2020) - [i13]Deepak K. Gupta, Efstratios Gavves, Arnold W. M. Smeulders:
Tackling Occlusion in Siamese Tracking with Structured Dropouts. CoRR abs/2006.16571 (2020) - [i12]Thijs P. Kuipers, Devanshu Arya, Deepak K. Gupta:
Hard Occlusions in Visual Object Tracking. CoRR abs/2009.04787 (2020) - [i11]Devanshu Arya, Deepak K. Gupta, Stevan Rudinac, Marcel Worring:
HyperSAGE: Generalizing Inductive Representation Learning on Hypergraphs. CoRR abs/2010.04558 (2020) - [i10]Deepak K. Gupta, Devanshu Arya, Efstratios Gavves:
Rotation Equivariant Siamese Networks for Tracking. CoRR abs/2012.13078 (2020)
2010 – 2019
- 2019
- [j5]Deepak Kumar Gupta
New optimal variable step size-adaptive regularized-affine projection algorithm. Int. J. Speech Technol. 22(1): 179-189 (2019) - [j4]Deepak Kumar Gupta
Performance Analysis of MSFRLS-VFF Based Real-Time Adaptive Noise Canceller with RLS and APA Algorithms Using TMS320C6713 Processor. Wirel. Pers. Commun. 106(4): 2113-2127 (2019) - [i9]Deepak K. Gupta, Rohit K. Shrivastava, Suhas Phadke, Jeroen Goudswaard:
Unsupervised Automated Event Detection using an Iterative Clustering based Segmentation Approach. CoRR abs/1901.07222 (2019) - [i8]Efstratios Gavves, Ran Tao, Deepak K. Gupta, Arnold W. M. Smeulders:
Model Decay in Long-Term Tracking. CoRR abs/1908.01603 (2019) - [i7]Deepak K. Gupta, Nathan de Bruijn, Andreas Panteli, Efstratios Gavves:
Tracking-Assisted Segmentation of Biological Cells. CoRR abs/1910.08735 (2019) - 2018
- [j3]Deepak Kumar Gupta
Real-Time Implementation of Parallel Architecture Based Noise Minimization from Speech Signals on FPGA. Wirel. Pers. Commun. 103(3): 1941-1963 (2018) - [c9]Hitesh Golchha, Deepak K. Gupta, Asif Ekbal, Pushpak Bhattacharyya:
Helping each Other: A Framework for Customer-to-Customer Suggestion Mining using a Semi-supervised Deep Neural Network. ICON 2018: 183-192 - [i6]Deepak Kumar Gupta, Shruti Goyal:
Email Classification into Relevant Category Using Neural Networks. CoRR abs/1802.03971 (2018) - [i5]Debjani Bhowmick, Deepak K. Gupta, Saumen Maiti, Uma Shankar:
Velocity-Porosity Supermodel: A Deep Neural Networks based concept. CoRR abs/1804.07112 (2018) - [i4]Debjani Bhowmick, Deepak K. Gupta, Saumen Maiti, Uma Shankar:
Deep Autoassociative Neural Networks for Noise Reduction in Seismic data. CoRR abs/1805.00291 (2018) - [i3]Hitesh Golchha, Deepak K. Gupta, Asif Ekbal, Pushpak Bhattacharyya:
Helping each Other: A Framework for Customer-to-Customer Suggestion Mining using a Semi-supervised Deep Neural Network. CoRR abs/1811.00379 (2018) - [i2]Deepak K. Gupta, Fred van Keulen, Matthijs Langelaar:
Design and analysis adaptivity in multi-resolution topology optimization. CoRR abs/1811.09821 (2018) - 2017
- [j2]Md. Shad Akhtar, Deepak Kumar Gupta, Asif Ekbal, Pushpak Bhattacharyya:
Feature selection and ensemble construction: A two-step method for aspect based sentiment analysis. Knowl. Based Syst. 125: 116-135 (2017) - [i1]Deepak Kumar Gupta, Shubham Tripathi, Asif Ekbal, Pushpak Bhattacharyya:
SMPOST: Parts of Speech Tagger for Code-Mixed Indic Social Media Text. CoRR abs/1702.00167 (2017) - 2016
- [c8]Deepak Kumar Gupta, Shweta, Shubham Tripathi, Asif Ekbal, Pushpak Bhattacharyya:
A Hybrid Approach for Entity Extraction in Code-Mixed Social Media Data. FIRE (Working Notes) 2016: 298-303 - [c7]Monika Khandelwal, Deepak Kumar Gupta
DoS attack detection technique using back propagation neural network. ICACCI 2016: 1064-1068 - 2015
- [c6]Deepak Kumar Gupta, Kandula Srikanth Reddy, Shweta, Asif Ekbal:
PSO-ASent: Feature Selection Using Particle Swarm Optimization for Aspect Based Sentiment Analysis. NLDB 2015: 220-233 - 2014
- [j1]Satya Sanket Sahoo
Epilepsy and seizure ontology: towards an epilepsy informatics infrastructure for clinical research and patient care. J. Am. Medical Informatics Assoc. 21(1): 82-89 (2014) - [c5]Deepak Kumar Gupta
Review Paper on Linear and Nonlinear Acoustic Echo Cancellation. FICTA (2) 2014: 465-473 - [c4]Deepak Kumar Gupta, Shubham Kumar, Asif Ekbal:
Machine Learning Approach for Language Identification & Transliteration. FIRE 2014: 60-64 - [c3]Deepak Kumar Gupta, Asif Ekbal:
IITP: Supervised Machine Learning for Aspect based Sentiment Analysis. SemEval@COLING 2014: 319-323 - 2012
- [c2]Satya Sanket Sahoo, Meng Zhao, Lingyun Luo, Alireza Bozorgi, Deepak K. Gupta, Samden D. Lhatoo, Guo-Qiang Zhang:
OPIC: Ontology-driven Patient Information Capturing System for Epilepsy. AMIA 2012 - [c1]Deepak K. Gupta, Yogesh Arora, Upendra K. Singh, Jai P. Gupta:
Recursive Ant Colony Optimization for estimation of parameters of a function. RAIT 2012: 448-454
Coauthor Index
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last updated on 2024-10-23 20:32 CEST by the dblp team
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