Yash Garg

Orcid: 0009-0007-3830-0438

According to our database1, Yash Garg authored at least 20 papers between 2015 and 2024.

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Bibliography

2024
A Novel Resource Management Framework for Blockchain-Based Federated Learning in IoT Networks.
IEEE Trans. Sustain. Comput., 2024

POSTURE: Pose Guided Unsupervised Domain Adaptation for Human Body Part Segmentation.
CoRR, 2024

2023
TEMP3D: Temporally Continuous 3D Human Pose Estimation Under Occlusions.
CoRR, 2023

Factorized Tensor Networks for Multi-Task and Multi-Domain Learning.
CoRR, 2023

eTOP: Early Termination of Pipelines for Faster Training of AutoML Systems.
CoRR, 2023

2022
Enhancing Optical Character Recognition on Images with Mixed Text Using Semantic Segmentation.
J. Sens. Actuator Networks, 2022

Two-Dimensional Attentive Fusion for Multi-Modal Learning of Neuroimaging and Genomics Data.
Proceedings of the 32nd IEEE International Workshop on Machine Learning for Signal Processing, 2022

2021
DataStorm: Coupled, Continuous Simulations for Complex Urban Environments.
Trans. Data Sci., 2021

Selego: robust variate selection for accurate time series forecasting.
Data Min. Knowl. Discov., 2021

XM2A: Multi-Scale Multi-Head Attention with Cross-Talk for Multi-Variate Time Series Analysis.
Proceedings of the 4th IEEE International Conference on Multimedia Information Processing and Retrieval, 2021

ReTriM: Reconstructive Triplet Loss for Learning Reduced Embeddings for Multi-Variate Time Series.
Proceedings of the 2021 International Conference on Data Mining, 2021

2020
On Feature Saliency and Deep Neural Networks.
PhD thesis, 2020

iSparse: Output Informed Sparsification of Neural Network.
Proceedings of the 2020 on International Conference on Multimedia Retrieval, 2020

SDMA: Saliency-Driven Mutual Cross Attention for Multi-Variate Time Series.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

SAN : Scale-Space Attention Networks.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

2019
RACKNet: Robust Allocation of Convolutional Kernels in Neural Networks for Image Classification.
Proceedings of the 2019 on International Conference on Multimedia Retrieval, 2019

2018
DataStorm-FE: A Data- and Decision-Flow and Coordination Engine for Coupled Simulation Ensembles.
Proc. VLDB Endow., 2018

2017
On the Effectiveness of Distance Measures for Similarity Search in Multi-Variate Sensory Data: Effectiveness of Distance Measures for Similarity Search.
Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval, 2017

SIMDMS: Data Management and Analysis to Support Decision Making through Large Simulation Ensembles.
Proceedings of the 20th International Conference on Extending Database Technology, 2017

2015
NOTES2: Networks-of-Traces for Epidemic Spread Simulations.
Proceedings of the Computational Sustainability, 2015


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