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Distributed Inference on Mobile Edge and Cloud: A Data-Cartography based Clustering Approach
Divya Jyoti Bajpai, Manjesh Kumar Hanawal
The large size of DNNs poses a significant challenge for deployment on devices with limited resources, such as mobile, edge, and IoT platforms. To address this issue, a distributed…
Distributed Inference on Mobile Edge and Cloud: An Early Exit based Clustering Approach
Divya Jyoti Bajpai, Manjesh Kumar Hanawal
Recent advances in Deep Neural Networks (DNNs) have demonstrated outstanding performance across various domains. However, their large size is a challenge for deployment on resource…
CAPEEN: Image Captioning with Early Exits and Knowledge Distillation
Divya Jyoti Bajpai, Manjesh Kumar Hanawal
Deep neural networks (DNNs) have made significant progress in recognizing visual elements and generating descriptive text in image-captioning tasks. However, their improved perform…
DAdEE: Unsupervised Domain Adaptation in Early Exit PLMs
Divya Jyoti Bajpai, Manjesh Kumar Hanawal
Pre-trained Language Models (PLMs) exhibit good accuracy and generalization ability across various tasks using self-supervision, but their large size results in high inference late…
CEEBERT: Cross-Domain Inference in Early Exit BERT
Divya Jyoti Bajpai, Manjesh Kumar Hanawal
Pre-trained Language Models (PLMs), like BERT, with self-supervision objectives exhibit remarkable performance and generalization across various tasks. However, they suffer in infe…
FAIR: Filtering of Automatically Induced Rules
Divya Jyoti Bajpai, Ayush Maheshwari, Manjesh Kumar Hanawal +1
The availability of large annotated data can be a critical bottleneck in training machine learning algorithms successfully, especially when applied to diverse domains. Weak supervi…
I-SplitEE: Image classification in Split Computing DNNs with Early Exits
Divya Jyoti Bajpai, Aastha Jaiswal, Manjesh Kumar Hanawal
The recent advances in Deep Neural Networks (DNNs) stem from their exceptional performance across various domains. However, their inherent large size hinders deploying these networ…