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Paper Citation Record · LEDGER

DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation Trainer

As of 18 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.

pith.paper-citation-record.v1
2505.15133 v1

Coverage vector

measured 54 of 54 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:27:41.962913Z

measured 54 of 54 standing notices

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Reference resolution

54 of 54 outbound references displayed

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External citation measurements

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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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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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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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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

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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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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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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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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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

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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

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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

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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

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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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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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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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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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

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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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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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

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raw_fallback, observed 2026-08-07T15:27:43.332392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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.

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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

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verified fuzzy
raw_fallback, observed 2026-08-07T15:27:43.224578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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

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verified fuzzy
raw_fallback, observed 2026-08-07T15:27:43.130329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:27:40.439946Z digest=sha256:0a1c1e1411c27ee9c73a509c202c75fe9820a1d25d6a6ff3bb3c09d46068fec9

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.

source=pdf_text observed=2026-08-07T15:27:40.599509Z digest=sha256:12a1cc992076dad478f73beb432cf9dc8113b942c87672caf48a87c7e7d71f8c

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

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verified fuzzy
raw_fallback, observed 2026-08-07T15:27:43.016295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:27:40.736777Z digest=sha256:45d3d87ba63fd96aeaa51f5451bd55ec1b9fec476c1d1908e8296567429069a6

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

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verified fuzzy
raw_fallback, observed 2026-08-07T15:27:42.929092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:27:40.848369Z digest=sha256:5ca1f38c9c1f123296d1d69ef0744c43f5801be3ad83281dffe2994fde6865e3

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

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verified fuzzy
raw_fallback, observed 2026-08-07T15:27:42.824884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:27:40.978509Z digest=sha256:f020687b115c2b67576afba577a1260a58b5d8ac9a7ce6058fc499074acce8b8

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

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verified fuzzy
raw_fallback, observed 2026-08-07T15:27:42.756410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:27:41.094829Z digest=sha256:54f3347d73e6498a5655a7ed87910dcf1844dc5e19b9de688a5ef914086bcd63

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

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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:27:41.235257Z digest=sha256:244f035a726f7d6fda15799fe864f88bea42ade32c10cc03e2dd47237a0efcc9

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

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:27:41.348891Z digest=sha256:0afa72fd0a7abf7dd2a2e09b6a772f36d77e67bd5552e2cf0e80078019900a47

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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verified fuzzy
raw_fallback, observed 2026-08-07T15:27:42.559368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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

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raw_fallback, observed 2026-08-07T15:27:42.423973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T15:27:41.607601Z digest=sha256:af2f23124967ab5974aca3157285c1c3f667732d1decfcdd13c3864f3da75095

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:27:41.661879Z digest=sha256:45b7e5bf17f9551ee62141756b1ee49dd5ba93a76f09407d4aa97c23635a41c5

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

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no resolver link, observed 2026-08-07T15:27:41.791141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:27:41.791141Z digest=sha256:8d5a0ad0af316c41ad2a503ce08f24e4c9d13ff2288bd7e40bd0e483b6501ae5

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

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no resolver link, observed 2026-08-07T15:27:41.869574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:27:41.869574Z digest=sha256:e404de3e0e538e3c0505fa99cd1a0226917fcbddb9c8460f34839e8879d2c564

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

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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 2026-08-18T06:34:40.430872+00:00.

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Pith citing papers

No inbound Pith citation observations are available.