Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:27:41.962913Z
Paper Citation Record · LEDGER
DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation Trainer
As of 19 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:2505.15133.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
54 of 54 outbound references displayed
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation e0d404fe-84a1-4882-bc5f-aa7ea4bf6621 · outbound
This paper cites Distilling the Knowledge in a Neural Network.
DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation Trainer Distilling the Knowledge in a Neural Network
Reference 1
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Unavailable: canonical work link unavailable.
Observation 64b2b912-3b68-4659-89e3-4725851ac93f · outbound
This paper cites Pkd: General distillation framework for object detectors via pearson correlation coefficient,.
DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation Trainer Pkd: General distillation framework for object detectors via pearson correlation coefficient,
Reference 2
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Observation 467201bb-2142-498f-b62a-937a8ad9c233 · outbound
This paper cites Cross-image relational knowledge distillation for semantic segmentation,.
DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation Trainer Cross-image relational knowledge distillation for semantic segmentation,
Reference 3
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Observation 048105f7-9498-482e-92b3-a565ffb73c11 · outbound
This paper cites Relational diffusion distillation for efficient image generation,.
DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation Trainer Relational diffusion distillation for efficient image generation,
Reference 4
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Source-reported events for the cited work
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Observation 5092153c-9184-4b2f-8096-1e0113b51c65 · outbound
This paper cites Knowledge distillation: A survey,.
DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation Trainer Knowledge distillation: A survey,
Reference 5
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 41b20559-7d8e-479e-a778-ad088e418074 · outbound
This paper cites Knowledge distillation from single-task teachers to multi-task student for end-to-end au- tonomous driving,.
DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation Trainer Knowledge distillation from single-task teachers to multi-task student for end-to-end au- tonomous driving,
Reference 6
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation b5d56058-ea41-4dab-81a0-663b44a4f22f · outbound
This paper cites Do We Really Need a Complex Agent System? Distill Embodied Agent into a Single Model.
DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation Trainer Do We Really Need a Complex Agent System? Distill Embodied Agent into a Single Model
Reference 7
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 87b6d3ed-9c3b-4d10-ac30-0637744beb7c · outbound
This paper cites MAGDi: Structured Distillation of Multi-Agent Interaction Graphs Improves Reasoning in Smaller Language Models.
DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation Trainer MAGDi: Structured Distillation of Multi-Agent Interaction Graphs Improves Reasoning in Smaller Language Models
Reference 8
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6166566b-e677-426c-9f83-500f7b089d71 · outbound
This paper cites Adaptive multi-teacher knowledge distillation with meta-learning,.
DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation Trainer Adaptive multi-teacher knowledge distillation with meta-learning,
Reference 9
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation f1a44d36-16d0-46d4-9421-234512dbad1f · outbound
This paper cites Multi-teacher knowledge distillation with reinforcement learning for visual recognition,.
DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation Trainer Multi-teacher knowledge distillation with reinforcement learning for visual recognition,
Reference 10
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 6608e0ae-61ac-461a-b50f-01971e9db70f · outbound
This paper cites A comprehensive overhaul of feature distillation,.
DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation Trainer A comprehensive overhaul of feature distillation,
Reference 11
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation b792ffef-1906-4fcb-bad1-7f0d4f376713 · outbound
This paper cites What makes a.
DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation Trainer What makes a
Reference 12
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 6399e879-f0b9-4fcb-b5dd-14a752be7a78 · outbound
This paper cites Cross-view consistency regularisation for knowledge distillation,.
DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation Trainer Cross-view consistency regularisation for knowledge distillation,
Reference 13
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation d032f3f7-5560-4133-8105-236682a551ad · outbound
This paper cites Why logit distillation works: A novel knowledge distillation technique by deriving target augmentation and logits distortion,.
DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation Trainer Why logit distillation works: A novel knowledge distillation technique by deriving target augmentation and logits distortion,
Reference 14
- Resolution
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Source-reported events for the cited work
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Observation ca360851-f8b1-4ea1-adf6-5a265f7dadd9 · outbound
This paper cites Single teacher, multiple perspectives: Teacher knowledge augmentation for enhanced knowledge distillation,.
DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation Trainer Single teacher, multiple perspectives: Teacher knowledge augmentation for enhanced knowledge distillation,
Reference 15
- Resolution
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Source-reported events for the cited work
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Observation c0201d6e-27ff-4f44-b48d-3af497d56479 · outbound
This paper cites Revisiting knowledge distillation via label smoothing regularization,.
DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation Trainer Revisiting knowledge distillation via label smoothing regularization,
Reference 16
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 63ba9aac-2e8f-4535-9ab1-63c20a700ab0 · outbound
This paper cites Debiased distillation for consistency regularization,.
DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation Trainer Debiased distillation for consistency regularization,
Reference 17
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation ac41c58b-b66a-496b-9ce1-85c355043b37 · outbound
This paper cites Decoupled knowledge distillation,.
DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation Trainer Decoupled knowledge distillation,
Reference 18
- Resolution
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Source-reported events for the cited work
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Observation 6397544c-5d4c-460d-b1f0-97864a93412a · outbound
This paper cites Dot: A distillation-oriented trainer,.
DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation Trainer Dot: A distillation-oriented trainer,
Reference 19
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 88a4b7fa-7ffe-4c10-89c5-3a9e18616648 · outbound
This paper cites Medhi, Stochastic processes.
DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation Trainer Medhi, Stochastic processes
Reference 20
- Resolution
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Source-reported events for the cited work
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Observation 61a9c61d-76fa-4573-b50b-969855e3b1e8 · outbound
This paper cites Understanding Why Neural Networks Generalize Well Through GSNR of Parameters.
DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation Trainer Understanding Why Neural Networks Generalize Well Through GSNR of Parameters
Reference 21
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 12ca687c-de2b-400b-92d1-d57d5b2d29b7 · outbound
This paper cites Towards understanding how momentum improves generalization in deep learning,.
DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation Trainer Towards understanding how momentum improves generalization in deep learning,
Reference 22
- Resolution
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Source-reported events for the cited work
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Observation e7d7e849-6faf-432d-8b4b-3ab51de783b8 · outbound
This paper cites Visualizing the loss landscape of neural nets,.
DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation Trainer Visualizing the loss landscape of neural nets,
Reference 23
- Resolution
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Source-reported events for the cited work
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Observation 04c92e22-e759-4f8e-9f62-40a26f7b97a2 · outbound
This paper cites Tighter variational bounds are not necessarily better,.
DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation Trainer Tighter variational bounds are not necessarily better,
Reference 24
- Resolution
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Source-reported events for the cited work
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Observation 6da10cd4-e92a-464c-b70a-efd994502bdc · outbound
This paper cites On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima.
DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation Trainer On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
Reference 25
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5afee9b5-69c2-40db-9483-4f2cb568233f · outbound
This paper cites Averaging Weights Leads to Wider Optima and Better Generalization.
DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation Trainer Averaging Weights Leads to Wider Optima and Better Generalization
Reference 26
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f5091cf0-be73-4ccf-bcaf-f3443446fc1c · outbound
This paper cites Curriculum learning,.
DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation Trainer Curriculum learning,
Reference 27
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 24e1d452-a394-4b57-9a9b-0e5825fd2bba · outbound
This paper cites Curriculum temperature for knowledge distillation,.
DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation Trainer Curriculum temperature for knowledge distillation,
Reference 28
- Resolution
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Source-reported events for the cited work
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Observation c3a8e71d-4001-4eae-9d9b-84fe6d0e6c0f · outbound
This paper cites Improving knowledge distillation via head and tail categories,.
DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation Trainer Improving knowledge distillation via head and tail categories,
Reference 29
- Resolution
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Source-reported events for the cited work
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Observation 81c3a00c-306c-4316-b095-7ac8416df457 · outbound
This paper cites FitNets: Hints for Thin Deep Nets.
DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation Trainer FitNets: Hints for Thin Deep Nets
Reference 30
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Source-reported events for the cited work
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Observation 3a78a949-c106-4b62-815a-c464be8542d5 · outbound
This paper cites From knowledge distillation to self-knowledge distillation: A unified approach with normalized loss and customized soft labels,.
DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation Trainer From knowledge distillation to self-knowledge distillation: A unified approach with normalized loss and customized soft labels,
Reference 34
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Observation d62e952e-6251-41cf-878c-757fde8dec17 · outbound
This paper cites Reducing the Teacher-Student Gap via Spherical Knowledge Disitllation.
DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation Trainer Reducing the Teacher-Student Gap via Spherical Knowledge Disitllation
Reference 35
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Unavailable: canonical work link unavailable.
Observation 67eb321e-2747-41ad-aa17-bfc5e4ce8bb5 · outbound
This paper cites Mdr: Multi-stage decoupled relational knowledge distillation with adaptive stage selection,.
DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation Trainer Mdr: Multi-stage decoupled relational knowledge distillation with adaptive stage selection,
Reference 36
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation d5dc53a5-1c2b-492d-842c-c2f633ac00a7 · outbound
This paper cites Ntce-kd: Non-target-class-enhanced knowledge distillation,.
DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation Trainer Ntce-kd: Non-target-class-enhanced knowledge distillation,
Reference 37
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation d2f9a4b5-dbe6-4d8c-b83c-5845dfaa0bb4 · outbound
This paper cites Teach less, learn more: On the undistillable classes in knowledge distillation,.
DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation Trainer Teach less, learn more: On the undistillable classes in knowledge distillation,
Reference 38
- Resolution
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Source-reported events for the cited work
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Observation 3764e83b-aff0-4d4a-9bd1-e7eb7eb6d295 · outbound
This paper cites Knowledge Distillation with Refined Logits.
DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation Trainer Knowledge Distillation with Refined Logits
Reference 39
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Observation af30dbb8-8622-40bb-a948-fa405798e00a · outbound
This paper cites Domain generalization guided by gradient signal to noise ratio of parameters,.
DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation Trainer Domain generalization guided by gradient signal to noise ratio of parameters,
Reference 40
- Resolution
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Observation e2ea07f6-45e4-46f9-a864-dd2202ede79e · outbound
This paper cites On the importance of initialization and momentum in deep learning,.
DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation Trainer On the importance of initialization and momentum in deep learning,
Reference 41
- Resolution
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Source-reported events for the cited work
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Observation a1ec5fe2-5abf-4729-b67e-2050f1fe33da · outbound
This paper cites Adam: A Method for Stochastic Optimization.
DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation Trainer Adam: A Method for Stochastic Optimization
Reference 42
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d69f7d98-70f0-4dab-8bc1-e997aa6b81c6 · outbound
This paper cites Training data-efficient image transformers & distillation through attention,.
DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation Trainer Training data-efficient image transformers & distillation through attention,
Reference 43
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation bf2ac38d-8b05-43ea-8c90-8b6dd8a6a301 · outbound
This paper cites Logit standardization in knowledge distillation,.
DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation Trainer Logit standardization in knowledge distillation,
Reference 44
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation aec4fc97-6318-45a5-a673-7d6192ad26dc · outbound
This paper cites Learning multiple layers of features from tiny images,.
DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation Trainer Learning multiple layers of features from tiny images,
Reference 45
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1fdf1eb6-8e30-4f23-b400-e44c51576af0 · outbound
This paper cites ImageNet large scale visual recognition challenge,.
DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation Trainer ImageNet large scale visual recognition challenge,
Reference 46
- Resolution
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Source-reported events for the cited work
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Observation faaeaf93-e5fb-4ba9-a74f-ed0458292694 · outbound
This paper cites Microsoft coco: Common objects in context,.
DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation Trainer Microsoft coco: Common objects in context,
Reference 47
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation c09611ed-bad6-4b6d-b5a6-d0fedbb3776c · outbound
This paper cites Knowledge distillation with the reused teacher classifier,.
DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation Trainer Knowledge distillation with the reused teacher classifier,
Reference 48
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation fb03f528-b482-4d0d-a446-a7d10a963463 · outbound
This paper cites Class attention transfer based knowledge distillation,.
DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation Trainer Class attention transfer based knowledge distillation,
Reference 49
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 4c520fb1-b70b-4416-b9ca-e4e543f245b9 · outbound
This paper cites Multi-level logit distillation,.
DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation Trainer Multi-level logit distillation,
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:27:42.673550Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 2cfb5423-4942-4a95-94d2-7cb2966d4faa · outbound
This paper cites Distilling knowledge via knowledge review,.
DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation Trainer Distilling knowledge via knowledge review,
Reference 51
- Resolution
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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation b06a12d0-3a00-44c5-bad6-4897748c8ba2 · outbound
This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks,.
DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation Trainer Faster r-cnn: Towards real-time object detection with region proposal networks,
Reference 52
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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation e559f72b-9c14-4c70-8994-fe8a9f1feda7 · outbound
This paper cites Visualizing data using t-sne.
DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation Trainer Visualizing data using t-sne
Reference 54
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation d36ba7e0-0db2-47a6-8d66-694eaae47c12 · outbound
This paper cites Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer.
DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation Trainer Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer
Reference 55
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:27:41.661879Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1c1127a6-305c-42a6-b0a5-c75c7b0fa479 · outbound
This paper cites Relational knowledge distillation,.
DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation Trainer Relational knowledge distillation,
Reference 56
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:27:41.791141Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a3818fe6-56fc-416c-b67f-1a76cca1fc33 · outbound
This paper cites Contrastive Representation Distillation.
DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation Trainer Contrastive Representation Distillation
Reference 57
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:27:41.869574Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 902d1831-01c9-401f-82a4-cdd4acd83bf9 · outbound
This paper cites A comprehensive overhaul of feature distillation,.
DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation Trainer A comprehensive overhaul of feature distillation,
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:27:42.274448Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Pith citing papers
No inbound Pith citation observations are available.