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Layer-Level Knowledge Distillation for Deep Neural Network Learning
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1109/cvpr.2009.5206848openalex-snapshot
ImageNet: A large-scale hierarchical image database
inferredcites →https://doi.org/10.1109/cvpr.2010.5540234openalex-snapshot
Grouplet: A structured image representation for recognizing human and object interactions
inferredcites →https://doi.org/10.1109/cvpr.2014.81openalex-snapshot
Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
inferredcites →https://doi.org/10.1109/cvpr.2015.7299169openalex-snapshot
Deep domain adaptation for describing people based on fine-grained clothing attributes
inferredcites →https://doi.org/10.1109/cvpr.2017.754openalex-snapshot
A Gift from Knowledge Distillation: Fast Optimization, Network Minimization and Transfer Learning
inferredcites →https://doi.org/10.1109/iccv.2017.121openalex-snapshot
Visual Relationship Detection with Internal and External Linguistic Knowledge Distillation
inferredcites →https://doi.org/10.1109/iccv.2017.155openalex-snapshot
Channel Pruning for Accelerating Very Deep Neural Networks
inferredcites →https://doi.org/10.1109/iccv.2017.541openalex-snapshot
ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression
inferredcites →https://doi.org/10.1109/icdar.2017.11openalex-snapshot
Improving Offline Handwritten Chinese Character Recognition by Iterative Refinement
inferredcites →https://doi.org/10.1109/icdcs.2018.00139openalex-snapshot
Deep Learning towards Mobile Applications
inferredcites →https://doi.org/10.1109/icme.2018.8486503openalex-snapshot
Visual Relationship Detection Based on Guided Proposals and Semantic Knowledge Distillation
inferredcites →https://doi.org/10.1109/tpami.2016.2577031openalex-snapshot
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
inferredcites →https://doi.org/10.1145/3065386openalex-snapshot
ImageNet classification with deep convolutional neural networks
inferredcites →https://doi.org/10.14257/astl.2016.140.36openalex-snapshot
Hierarchical Compression of Deep Convolutional Neural Networks on Large Scale Visual Recognition for Mobile Applications
inferredcites →https://doi.org/10.1609/aaai.v30i1.10449openalex-snapshot
Face Model Compression by Distilling Knowledge from Neurons
inferredcites →https://doi.org/10.5244/c.24.97openalex-snapshot
Recognizing human actions in still images: a study of bag-of-features and part-based representations
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Fault-Tolerant Deep Learning Processors
inferred← citeshttps://doi.org/10.1007/s11263-024-02133-4openalex-snapshot
RNAS-CL: Robust Neural Architecture Search by Cross-Layer Knowledge Distillation
inferred← citeshttps://doi.org/10.1016/j.ejrs.2022.12.006openalex-snapshot
Knowledge distillation: A novel approach for deep feature selection
inferred← citeshttps://doi.org/10.1049/csy2.70002openalex-snapshot
Big2Small: Learning from masked image modelling with heterogeneous self‐supervised knowledge distillation
inferred← citeshttps://doi.org/10.1049/htl2.12097openalex-snapshot
A related convolutional neural network for cancer diagnosis using microRNA data classification
inferred← citeshttps://doi.org/10.1109/access.2024.3387859openalex-snapshot
Bridging the Knowledge Gap via Transformer-Based Multi-Layer Correlation Learning
inferred← citeshttps://doi.org/10.1109/access.2025.3585984openalex-snapshot
Adaptive Video Anomaly Detection by Attention-Based Relational Knowledge Distillation
inferred← citeshttps://doi.org/10.1109/isct66099.2025.11297334openalex-snapshot
Hybrid Logit-Exchange Distillation for Communication-Efficient Federated Learning
inferred← citeshttps://doi.org/10.1109/metroautomotive64646.2025.11119259openalex-snapshot
Distillo Framework: A Novel Knowledge Distillation Platform for Advanced Intelligent Solution Deployment Over Automotive-Grade Devices
inferred← citeshttps://doi.org/10.1109/robio66223.2025.11376108openalex-snapshot
Hierarchical X-Ray Recognition for Obsolete Semiconductor Chips Combining Rule-Driven and Deep Learning Approaches
inferred← citeshttps://doi.org/10.1109/tc.2022.3160345openalex-snapshot
On-Line Fault Protection for ReRAM-Based Neural Networks
inferred← citeshttps://doi.org/10.1109/tmm.2021.3073279openalex-snapshot
Feature Estimations Based Correlation Distillation for Incremental Image Retrieval
inferred← citeshttps://doi.org/10.1109/tpami.2021.3055564openalex-snapshot
Knowledge Distillation and Student-Teacher Learning for Visual Intelligence: A Review and New Outlooks
inferred← citeshttps://doi.org/10.1109/tpami.2023.3257546openalex-snapshot
When Object Detection Meets Knowledge Distillation: A Survey
inferred← citeshttps://doi.org/10.2478/amns-2025-0348openalex-snapshot
Selection and Optimization of University English Teaching Path Based on Knowledge Distillation and Transfer Learning
inferred← citeshttps://doi.org/10.32620/reks.2020.2.08openalex-snapshot
БАГАТОШАРОВА МОДЕЛЬ ТА МЕТОД НАВЧАННЯ ДЛЯ ДЕТЕКТУВАННЯ ШКІДЛИВОГО ТРАФІКУ НА ОСНОВІ АНСАМБЛЮ ДЕРЕВ РІШЕНЬ
inferred← citeshttps://doi.org/10.32782/cmis/2608-22openalex-snapshot
Multi-layer model and training method for information-extreme malware traffic detector
inferred← citeshttps://doi.org/10.3390/app10093172openalex-snapshot
Special Issue on Advances in Deep Learning
inferred← citeshttps://doi.org/10.3390/app11115235openalex-snapshot
Methods for Preventing Visual Attacks in Convolutional Neural Networks Based on Data Discard and Dimensionality Reduction
inferred← citeshttps://doi.org/10.3390/computers13080184openalex-snapshot
Knowledge Distillation in Image Classification: The Impact of Datasets
inferred← citeshttps://doi.org/10.3390/electronics11060945openalex-snapshot
A Survey on Efficient Convolutional Neural Networks and Hardware Acceleration
inferred← citeshttps://doi.org/10.3390/s24175813openalex-snapshot
A Comprehensive Review of Hardware Acceleration Techniques and Convolutional Neural Networks for EEG Signals
inferred← citeshttps://doi.org/10.4018/979-8-3373-7340-9.ch003openalex-snapshot
Bringing Generative AI to Edge Devices
inferred← citeshttps://doi.org/10.7287/peerj-cs.474v0.1/reviews/1openalex-snapshot
Peer Review #1 of "Knowledge distillation in deep learning and its applications (v0.1)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.474v0.1/reviews/2openalex-snapshot
Peer Review #2 of "Knowledge distillation in deep learning and its applications (v0.1)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.474v0.2/reviews/1openalex-snapshot
Peer Review #1 of "Knowledge distillation in deep learning and its applications (v0.2)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.474v0.2/reviews/2openalex-snapshot
Peer Review #2 of "Knowledge distillation in deep learning and its applications (v0.2)"
inferred← citeshttps://doi.org/10.7717/peerj-cs.474openalex-snapshot
Knowledge distillation in deep learning and its applications
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