Online Algorithms for Hierarchical Inference in Deep Learning applications at the Edge
Fuente:
arXiv
Saved in:
| Main Authors: | Moothedath, Vishnu Narayanan, Champati, Jaya Prakash, Gross, James |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Inference Offloading for Cost-Sensitive Binary Classification at the Edge
by: Moothedath, Vishnu Narayanan, et al.
Published: (2025)
by: Moothedath, Vishnu Narayanan, et al.
Published: (2025)
Towards Efficient Multi-LLM Inference: Characterization and Analysis of LLM Routing and Hierarchical Techniques
by: Behera, Adarsh Prasad, et al.
Published: (2025)
by: Behera, Adarsh Prasad, et al.
Published: (2025)
Inference-Time Search Using Side Information for Diffusion-Based Image Reconstruction
by: Farahbakhsh, Mahdi, et al.
Published: (2025)
by: Farahbakhsh, Mahdi, et al.
Published: (2025)
Forget Less by Learning from Parents Through Hierarchical Relationships
by: Kaushik, Arjun Ramesh, et al.
Published: (2026)
by: Kaushik, Arjun Ramesh, et al.
Published: (2026)
Low-Regret and Low-Complexity Learning for Hierarchical Inference
by: Chattopadhyay, Sameep, et al.
Published: (2025)
by: Chattopadhyay, Sameep, et al.
Published: (2025)
Federated Learning of Binary Neural Networks: Enabling Low-Cost Inference
by: Shankar, Nitin Priyadarshini, et al.
Published: (2026)
by: Shankar, Nitin Priyadarshini, et al.
Published: (2026)
ManifoldGD: Training-Free Hierarchical Manifold Guidance for Diffusion-Based Dataset Distillation
by: Roy, Ayush, et al.
Published: (2026)
by: Roy, Ayush, et al.
Published: (2026)
EdgeOL: Efficient in-situ Online Learning on Edge Devices
by: Li, Sheng, et al.
Published: (2024)
by: Li, Sheng, et al.
Published: (2024)
Scaling Up Quantization-Aware Neural Architecture Search for Efficient Deep Learning on the Edge
by: Lu, Yao, et al.
Published: (2024)
by: Lu, Yao, et al.
Published: (2024)
Enhancing IMU-Based Online Handwriting Recognition via Contrastive Learning with Zero Inference Overhead
by: Li, Jindong, et al.
Published: (2026)
by: Li, Jindong, et al.
Published: (2026)
BSO: Binary Spiking Online Optimization Algorithm
by: Liang, Yu, et al.
Published: (2025)
by: Liang, Yu, et al.
Published: (2025)
Wear Classification of Abrasive Flap Wheels using a Hierarchical Deep Learning Approach
by: Kähler, Falko, et al.
Published: (2026)
by: Kähler, Falko, et al.
Published: (2026)
Leveraging Hierarchical Feature Sharing for Efficient Dataset Condensation
by: Zheng, Haizhong, et al.
Published: (2023)
by: Zheng, Haizhong, et al.
Published: (2023)
Deep Online Probability Aggregation Clustering
by: Yan, Yuxuan, et al.
Published: (2024)
by: Yan, Yuxuan, et al.
Published: (2024)
Augmentations vs Algorithms: What Works in Self-Supervised Learning
by: Morningstar, Warren, et al.
Published: (2024)
by: Morningstar, Warren, et al.
Published: (2024)
Hierarchical Abstraction Enables Human-Like 3D Object Recognition in Deep Learning Models
by: Fu, Shuhao, et al.
Published: (2025)
by: Fu, Shuhao, et al.
Published: (2025)
Baitradar: A Multi-Model Clickbait Detection Algorithm Using Deep Learning
by: Gamage, Bhanuka, et al.
Published: (2025)
by: Gamage, Bhanuka, et al.
Published: (2025)
TinierHAR: Towards Ultra-Lightweight Deep Learning Models for Efficient Human Activity Recognition on Edge Devices
by: Bian, Sizhen, et al.
Published: (2025)
by: Bian, Sizhen, et al.
Published: (2025)
GRMLR: Knowledge-Enhanced Small-Data Learning for Deep-Sea Cold Seep Stage Inference
by: Zhou, Chenxu, et al.
Published: (2026)
by: Zhou, Chenxu, et al.
Published: (2026)
A Systematic Performance Analysis of Deep Perceptual Loss Networks: Breaking Transfer Learning Conventions
by: Pihlgren, Gustav Grund, et al.
Published: (2023)
by: Pihlgren, Gustav Grund, et al.
Published: (2023)
HEP-NAS: Towards Efficient Few-shot Neural Architecture Search via Hierarchical Edge Partitioning
by: Li, Jianfeng, et al.
Published: (2024)
by: Li, Jianfeng, et al.
Published: (2024)
MovePose: A High-performance Human Pose Estimation Algorithm on Mobile and Edge Devices
by: Yu, Dongyang, et al.
Published: (2023)
by: Yu, Dongyang, et al.
Published: (2023)
PRISM: Distributed Inference for Foundation Models at Edge
by: Qazi, Muhammad Azlan, et al.
Published: (2025)
by: Qazi, Muhammad Azlan, et al.
Published: (2025)
Specularity Factorization for Low-Light Enhancement
by: Saini, Saurabh, et al.
Published: (2024)
by: Saini, Saurabh, et al.
Published: (2024)
Reducing Deep Network Complexity via Sparse Hierarchical Fourier Interaction Networks
by: Kiruluta, Andrew, et al.
Published: (2017)
by: Kiruluta, Andrew, et al.
Published: (2017)
Forget Less by Learning Together through Concept Consolidation
by: Kaushik, Arjun Ramesh, et al.
Published: (2026)
by: Kaushik, Arjun Ramesh, et al.
Published: (2026)
Power-scaled Bayesian Inference with Score-based Generative Models
by: Erdinc, Huseyin Tuna, et al.
Published: (2025)
by: Erdinc, Huseyin Tuna, et al.
Published: (2025)
Mobile Application for Oral Disease Detection using Federated Learning
by: Narayanan V, Shankara, et al.
Published: (2023)
by: Narayanan V, Shankara, et al.
Published: (2023)
Deep Spatially-Regularized and Superpixel-Based Diffusion Learning for Unsupervised Hyperspectral Image Clustering
by: Buranasiri, Vutichart, et al.
Published: (2026)
by: Buranasiri, Vutichart, et al.
Published: (2026)
DeepRepViz: Identifying Confounders in Deep Learning Model Predictions
by: Rane, Roshan Prakash, et al.
Published: (2023)
by: Rane, Roshan Prakash, et al.
Published: (2023)
Hierarchical Consensus Network for Multiview Feature Learning
by: Xia, Chengwei, et al.
Published: (2025)
by: Xia, Chengwei, et al.
Published: (2025)
Harnessing Superclasses for Learning from Hierarchical Databases
by: Urbani, Nicolas, et al.
Published: (2024)
by: Urbani, Nicolas, et al.
Published: (2024)
Hierarchical Active Inference using Successor Representations
by: Rangarajan, Prashant, et al.
Published: (2026)
by: Rangarajan, Prashant, et al.
Published: (2026)
FairerCLIP: Debiasing CLIP's Zero-Shot Predictions using Functions in RKHSs
by: Dehdashtian, Sepehr, et al.
Published: (2024)
by: Dehdashtian, Sepehr, et al.
Published: (2024)
DCNFIS: Deep Convolutional Neuro-Fuzzy Inference System
by: Yeganejou, Mojtaba, et al.
Published: (2023)
by: Yeganejou, Mojtaba, et al.
Published: (2023)
Proof of Reasoning for Privacy Enhanced Federated Blockchain Learning at the Edge
by: Calo, James, et al.
Published: (2026)
by: Calo, James, et al.
Published: (2026)
LinFlo-Net: A two-stage deep learning method to generate simulation ready meshes of the heart
by: Narayanan, Arjun, et al.
Published: (2023)
by: Narayanan, Arjun, et al.
Published: (2023)
Calibrated Decomposition of Aleatoric and Epistemic Uncertainty in Deep Features for Inference-Time Adaptation
by: Kumar, Divake, et al.
Published: (2025)
by: Kumar, Divake, et al.
Published: (2025)
Early Detection of Coffee Leaf Rust Through Convolutional Neural Networks Trained on Low-Resolution Images
by: Cabrera, Angelly, et al.
Published: (2024)
by: Cabrera, Angelly, et al.
Published: (2024)
A neurosymbolic Approach with Epistemic Deep Learning for Hierarchical Image Classification
by: Kilicdere, Ezel, et al.
Published: (2026)
by: Kilicdere, Ezel, et al.
Published: (2026)
Similar Items
-
Inference Offloading for Cost-Sensitive Binary Classification at the Edge
by: Moothedath, Vishnu Narayanan, et al.
Published: (2025) -
Towards Efficient Multi-LLM Inference: Characterization and Analysis of LLM Routing and Hierarchical Techniques
by: Behera, Adarsh Prasad, et al.
Published: (2025) -
Inference-Time Search Using Side Information for Diffusion-Based Image Reconstruction
by: Farahbakhsh, Mahdi, et al.
Published: (2025) -
Forget Less by Learning from Parents Through Hierarchical Relationships
by: Kaushik, Arjun Ramesh, et al.
Published: (2026) -
Low-Regret and Low-Complexity Learning for Hierarchical Inference
by: Chattopadhyay, Sameep, et al.
Published: (2025)