Deepak K. Gupta

66 papers A* 5A 2B 4Misc 4Journal 41Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	S2D: Selective Spectral Decay for Quantization-Friendly Conditioning of Neural Activations. CoRR Arnav Chavan, Nahush Lele, Udbhav Bamba, Sankalp Dayal, Aditi Raghunathan, Deepak K. Gupta
2025	J	`jnl`	Adaptive Neural Message Passing for Inductive Learning on Hypergraphs. IEEE Trans. Pattern Anal. Mach. Intell. Devanshu Arya, Deepak K. Gupta, Stevan Rudinac, Marcel Worring
2025	J	`jnl`	Rethinking the Value of Training-Free Structured Pruning of LLMs. Trans. Mach. Learn. Res. Nahush Lele, Arnav Chavan, Aryamaan Thakur, Deepak K. Gupta
2024	—	`conf`	Beyond Uniform Scaling: Exploring Depth Heterogeneity in Neural Architectures. Tiny Papers @ ICLR Akash Guna R. T., Arnav Chavan, Deepak K. Gupta
2024	J	`jnl`	Beyond Uniform Scaling: Exploring Depth Heterogeneity in Neural Architectures. CoRR Akash Guna R. T., Arnav Chavan, Deepak K. Gupta
2024	J	`jnl`	Enhancing Deep Learning based RMT Data Inversion using Gaussian Random Field. CoRR Koustav Ghosal, Arun Singh, Samir Malakar, Shalivahan Srivastava, Deepak K. Gupta
2024	A*	`conf`	Faster and Lighter LLMs: A Survey on Current Challenges and Way Forward. IJCAI Arnav Chavan, Raghav Magazine, Shubham Kushwaha, Mérouane Debbah, Deepak K. Gupta
2024	J	`jnl`	Faster and Lighter LLMs: A Survey on Current Challenges and Way Forward. CoRR Arnav Chavan, Raghav Magazine, Shubham Kushwaha, Mérouane Debbah, Deepak K. Gupta
2024	J	`jnl`	Parameter Efficient Fine-Tuning for Deep Learning-Based Full-Waveform Inversion. CoRR Koustav Ghosal, Abhranta Panigrahi, Arnav Chavan, ArunSingh, Deepak K. Gupta
2024	A	`conf`	Partial Binarization of Neural Networks for Budget-Aware Efficient Learning. WACV Udbhav Bamba, Neeraj Anand, Saksham Aggarwal, Dilip K. Prasad, Deepak K. Gupta
2024	J	`jnl`	Pushing the Limits of Gradient Descent for Efficient Learning on Large Images. Trans. Mach. Learn. Res. Deepak K. Gupta, Gowreesh Mago, Arnav Chavan, Dilip K. Prasad, Rajat Mani Thomas
2024	—	`conf`	Rethinking Compression: Reduced order modelling of Latent Features in Large Language Models. Tiny Papers @ ICLR Arnav Chavan, Nahush Lele, Deepak K. Gupta
2024	—	`conf`	Surgical Feature-Space Decomposition of LLMs: Why, When and How? ACL (1) Arnav Chavan, Nahush Lele, Deepak K. Gupta
2024	J	`jnl`	Surgical Feature-Space Decomposition of LLMs: Why, When and How? CoRR Arnav Chavan, Nahush Lele, Deepak K. Gupta
2023	J	`jnl`	Aux-Drop: Handling Haphazard Inputs in Online Learning Using Auxiliary Dropouts. CoRR Rohit Agarwal, Deepak K. Gupta, Alexander Horsch, Dilip K. Prasad
2023	J	`jnl`	Aux-Drop: Handling Haphazard Inputs in Online Learning Using Auxiliary Dropouts. Trans. Mach. Learn. Res. Rohit Agarwal, Deepak K. Gupta, Alexander Horsch, Dilip K. Prasad
2023	J	`jnl`	Data-Efficient Training of CNNs and Transformers with Coresets: A Stability Perspective. CoRR Animesh Gupta, Irtiza Hasan, Dilip K. Prasad, Deepak K. Gupta
2023	Misc	`conf`	Implicitly Rotation Equivariant Neural Networks. ICASSP Naman Khetan, Tushar Arora, Samee Ur Rehman, Deepak K. Gupta
2023	J	`jnl`	Latent Graph Attention for Enhanced Spatial Context. CoRR Ayush Singh, Yash Bhambhu, Himanshu Buckchash, Deepak K. Gupta, Dilip K. Prasad
2023	Misc	`conf`	On Designing Light-Weight Object Trackers Through Network Pruning: Use CNNS or Transformers? ICASSP Saksham Aggarwal, Taneesh Gupta, Pawan Kumar Sahu, Arnav Chavan, Rishabh Tiwari, Dilip K. Prasad, Deepak K. Gupta
2023	J	`jnl`	On Using Deep Learning Proxies as Forward Models in Deep Learning Problems. CoRR Fatima Albreiki, Nidhal Belayouni, Deepak K. Gupta
2023	J	`jnl`	One-for-All: Generalized LoRA for Parameter-Efficient Fine-tuning. CoRR Arnav Chavan, Zhuang Liu, Deepak K. Gupta, Eric P. Xing, Zhiqiang Shen
2023	J	`jnl`	Patch Gradient Descent: Training Neural Networks on Very Large Images. CoRR Deepak K. Gupta, Gowreesh Mago, Arnav Chavan, Dilip K. Prasad
2023	—	`conf`	RCV2023 Challenges: Benchmarking Model Training and Inference for Resource-Constrained Deep Learning. ICCV (Workshops) 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
2023	J	`jnl`	Rethinking Compression: Reduced Order Modelling of Latent Features in Large Language Models. CoRR Arnav Chavan, Nahush Lele, Deepak K. Gupta
2022	A*	`conf`	Dynamic Kernel Selection for Improved Generalization and Memory Efficiency in Meta-learning. CVPR Arnav Chavan, Rishabh Tiwari, Udbhav Bamba, Deepak K. Gupta
2022	J	`jnl`	Dynamic Kernel Selection for Improved Generalization and Memory Efficiency in Meta-learning. CoRR Arnav Chavan, Rishabh Tiwari, Udbhav Bamba, Deepak K. Gupta
2022	J	`jnl`	MixBin: Towards Budgeted Binarization. CoRR Udbhav Bamba, Neeraj Anand, Dilip K. Prasad, Deepak K. Gupta
2022	J	`jnl`	On designing light-weight object trackers through network pruning: Use CNNs or transformers? CoRR Saksham Aggarwal, Taneesh Gupta, Pawan Kumar Sahu, Arnav Chavan, Rishabh Tiwari, Dilip K. Prasad, Deepak K. Gupta
2022	J	`jnl`	UltraMNIST Classification: A Benchmark to Train CNNs for Very Large Images. CoRR Deepak K. Gupta, Udbhav Bamba, Abhishek Thakur, Akash Gupta, Suraj Sharan, Ertugrul Demir, Dilip K. Prasad
2021	J	`jnl`	Adaptive Neural Message Passing for Inductive Learning on Hypergraphs. CoRR Devanshu Arya, Deepak K. Gupta, Stevan Rudinac, Marcel Worring
2021	A*	`conf`	Calibrated Adversarial Refinement for Stochastic Semantic Segmentation. ICCV Elias Kassapis, Georgi Dikov, Deepak K. Gupta, Cedric Nugteren
2021	A*	`conf`	ChipNet: Budget-Aware Pruning with Heaviside Continuous Approximations. ICLR Rishabh Tiwari, Udbhav Bamba, Arnav Chavan, Deepak K. Gupta
2021	J	`jnl`	ChipNet: Budget-Aware Pruning with Heaviside Continuous Approximations. CoRR Rishabh Tiwari, Udbhav Bamba, Arnav Chavan, Deepak K. Gupta
2021	B	`conf`	Generating Annotated High-Fidelity Images Containing Multiple Coherent Objects. ICIP Bryan G. Cardenas, Devanshu Arya, Deepak K. Gupta
2021	J	`jnl`	Implicit Equivariance in Convolutional Networks. CoRR Naman Khetan, Tushar Arora, Samee Ur Rehman, Deepak K. Gupta
2021	A	`conf`	Livestock Monitoring with Transformer. BMVC Bhavesh Tangirala, Ishan Bhandari, Dániel László, Deepak K. Gupta, Rajat Mani Thomas, Devanshu Arya
2021	J	`jnl`	Livestock Monitoring with Transformer. CoRR Bhavesh Tangirala, Ishan Bhandari, Dániel László, Deepak K. Gupta, Rajat Mani Thomas, Devanshu Arya
2021	Misc	`conf`	Parkinson and movement disorders ontology for clinically-oriented and clinicians-driven data mining of multi-center cohorts in Parkinson's disease. AMIA Deepak K. Gupta, Massimo Marano, Raj Aurora, James Boyd, Satya S. Sahoo
2021	B	`conf`	Rescaling CNN Through Learnable Repetition of Network Parameters. ICIP Arnav Chavan, Udbhav Bamba, Rishabh Tiwari, Deepak K. Gupta
2021	J	`jnl`	Rescaling CNN through Learnable Repetition of Network Parameters. CoRR Arnav Chavan, Udbhav Bamba, Rishabh Tiwari, Deepak K. Gupta
2021	A*	`conf`	Rotation Equivariant Siamese Networks for Tracking. CVPR Deepak K. Gupta, Devanshu Arya, Efstratios Gavves
2020	—	`conf`	Automated Comprehensive Interpretation of 12-lead Electrocardiograms Using Pre-trained Exponentially Dilated Causal Convolutional Neural Networks. CinC 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
2020	J	`jnl`	Automated and Accurate Geometry Extraction and Shape Optimization of 3D Topology Optimization Results. CoRR Marco K. Swierstra, Deepak K. Gupta, Matthijs Langelaar
2020	J	`jnl`	Calibrated Adversarial Refinement for Multimodal Semantic Segmentation. CoRR Elias Kassapis, Georgi Dikov, Deepak K. Gupta, Cedric Nugteren
2020	—	`conf`	Fusing Structural and Functional MRIs using Graph Convolutional Networks for Autism Classification. MIDL Devanshu Arya, Richard Olij, Deepak K. Gupta, Ahmed El Gazzar, Guido van Wingen, Marcel Worring, Rajat Mani Thomas
2020	J	`jnl`	Generating Annotated High-Fidelity Images Containing Multiple Coherent Objects. CoRR Bryan G. Cardenas, Devanshu Arya, Deepak K. Gupta
2020	—	`conf`	Hard Occlusions in Visual Object Tracking. ECCV Workshops (5) Thijs P. Kuipers, Devanshu Arya, Deepak K. Gupta
2020	J	`jnl`	Hard Occlusions in Visual Object Tracking. CoRR Thijs P. Kuipers, Devanshu Arya, Deepak K. Gupta
2020	J	`jnl`	HyperSAGE: Generalizing Inductive Representation Learning on Hypergraphs. CoRR Devanshu Arya, Deepak K. Gupta, Stevan Rudinac, Marcel Worring
2020	B	`conf`	Model Decay in Long-Term Tracking. ICPR Efstratios Gavves, Ran Tao, Deepak K. Gupta, Arnold W. M. Smeulders
2020	J	`jnl`	Rotation Equivariant Siamese Networks for Tracking. CoRR Deepak K. Gupta, Devanshu Arya, Efstratios Gavves
2020	—	`conf`	Siamese Tracking of Cell Behaviour Patterns. MIDL Andreas Panteli, Deepak K. Gupta, Nathan de Bruijn, Efstratios Gavves
2020	B	`conf`	Tackling Occlusion in Siamese Tracking with Structured Dropouts. ICPR Deepak K. Gupta, Efstratios Gavves, Arnold W. M. Smeulders
2020	J	`jnl`	Tackling Occlusion in Siamese Tracking with Structured Dropouts. CoRR Deepak K. Gupta, Efstratios Gavves, Arnold W. M. Smeulders
2019	J	`jnl`	Model Decay in Long-Term Tracking. CoRR Efstratios Gavves, Ran Tao, Deepak K. Gupta, Arnold W. M. Smeulders
2019	J	`jnl`	Tracking-Assisted Segmentation of Biological Cells. CoRR Deepak K. Gupta, Nathan de Bruijn, Andreas Panteli, Efstratios Gavves
2019	J	`jnl`	Unsupervised Automated Event Detection using an Iterative Clustering based Segmentation Approach. CoRR Deepak K. Gupta, Rohit K. Shrivastava, Suhas Phadke, Jeroen Goudswaard
2018	J	`jnl`	Deep Autoassociative Neural Networks for Noise Reduction in Seismic data. CoRR Debjani Bhowmick, Deepak K. Gupta, Saumen Maiti, Uma Shankar
2018	J	`jnl`	Design and analysis adaptivity in multi-resolution topology optimization. CoRR Deepak K. Gupta, Fred van Keulen, Matthijs Langelaar
2018	—	`conf`	Helping each Other: A Framework for Customer-to-Customer Suggestion Mining using a Semi-supervised Deep Neural Network. ICON Hitesh Golchha, Deepak K. Gupta, Asif Ekbal, Pushpak Bhattacharyya
2018	J	`jnl`	Helping each Other: A Framework for Customer-to-Customer Suggestion Mining using a Semi-supervised Deep Neural Network. CoRR Hitesh Golchha, Deepak K. Gupta, Asif Ekbal, Pushpak Bhattacharyya
2018	J	`jnl`	Velocity-Porosity Supermodel: A Deep Neural Networks based concept. CoRR Debjani Bhowmick, Deepak K. Gupta, Saumen Maiti, Uma Shankar
2014	J	`jnl`	Epilepsy and seizure ontology: towards an epilepsy informatics infrastructure for clinical research and patient care. J. Am. Medical Informatics Assoc. Satya Sanket Sahoo, Samden D. Lhatoo, Deepak K. Gupta, Licong Cui, Meng Zhao, Catherine P. Jayapandian, Alireza Bozorgi, Guo-Qiang Zhang
2012	Misc	`conf`	OPIC: Ontology-driven Patient Information Capturing System for Epilepsy. AMIA Satya Sanket Sahoo, Meng Zhao, Lingyun Luo, Alireza Bozorgi, Deepak K. Gupta, Samden D. Lhatoo, Guo-Qiang Zhang
2012	—	`conf`	Recursive Ant Colony Optimization for estimation of parameters of a function. RAIT Deepak K. Gupta, Yogesh Arora, Upendra K. Singh, Jai P. Gupta