Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective | Paper Citation Record

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This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 1

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This paper cites Deep residual learning for image recognition,.

Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective Deep residual learning for image recognition,

Reference 2

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This paper cites Patch-mix transformer for unsupervised domain adaptation: A game perspective,.

Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective Patch-mix transformer for unsupervised domain adaptation: A game perspective,

Reference 3

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This paper cites Object detection in 20 years: A survey,.

Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective Object detection in 20 years: A survey,

Reference 4

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This paper cites Object detection with deep learning: A review,.

Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective Object detection with deep learning: A review,

Reference 5

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This paper cites Fully convolutional networks for semantic segmentation,.

Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective Fully convolutional networks for semantic segmentation,

Reference 6

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This paper cites Encoder- decoder with atrous separable convolution for semantic image segmenta- tion,.

Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective Encoder- decoder with atrous separable convolution for semantic image segmenta- tion,

Reference 7

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This paper cites MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer.

Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer

Reference 8

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This paper cites Tinyvit: Fast pretraining distillation for small vision transformers,.

Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective Tinyvit: Fast pretraining distillation for small vision transformers,

Reference 9

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Observation ed858587-0672-464b-8bcf-3b57ee99cb66 · outbound

This paper cites Knowledge distillation and student-teacher learning for visual intelligence: A review and new outlooks,.

Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective Knowledge distillation and student-teacher learning for visual intelligence: A review and new outlooks,

Reference 10

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Observation 91393c56-9ad7-4d51-8ccc-c2f16c802fe3 · outbound

This paper cites Densely guided knowledge distillation using multiple teacher assistants,.

Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective Densely guided knowledge distillation using multiple teacher assistants,

Reference 11

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Observation 15eaf5bd-de58-4cb9-9936-59c963944da2 · outbound

This paper cites Learning student- friendly teacher networks for knowledge distillation,.

Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective Learning student- friendly teacher networks for knowledge distillation,

Reference 12

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Observation 9c47a0fa-e335-469e-beaa-ca7f15aee3e9 · outbound

This paper cites NORM: Knowledge Distillation via N-to-One Representation Matching.

Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective NORM: Knowledge Distillation via N-to-One Representation Matching

Reference 13

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Observation 8018af0a-c3af-43a0-b6d4-bacc113c8780 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective Distilling the Knowledge in a Neural Network

Reference 14

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This paper cites A good student is cooperative and reliable: Cnn-transformer collaborative learning for semantic segmentation,.

Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective A good student is cooperative and reliable: Cnn-transformer collaborative learning for semantic segmentation,

Reference 15

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Observation 323b8c4b-c969-40bf-be55-f4ee284a69f5 · outbound

This paper cites Cross- image relational knowledge distillation for semantic segmentation,.

Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective Cross- image relational knowledge distillation for semantic segmentation,

Reference 16

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This paper cites GoodSAM: Bridging Domain and Capacity Gaps via Segment Anything Model for Distortion-aware Panoramic Semantic Segmentation.

Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective GoodSAM: Bridging Domain and Capacity Gaps via Segment Anything Model for Distortion-aware Panoramic Semantic Segmentation

Reference 17

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Observation a55f0139-9bdf-4b00-9080-f19cba3374bc · outbound

This paper cites Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer.

Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer

Reference 18

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This paper cites Channel-wise knowledge distillation for dense prediction,.

Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective Channel-wise knowledge distillation for dense prediction,

Reference 19

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Observation 6295d4f1-3069-4c21-adb2-e8f1e53385d0 · outbound

This paper cites Exploring inter-channel correlation for diversity-preserved knowledge distillation,.

Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective Exploring inter-channel correlation for diversity-preserved knowledge distillation,

Reference 20

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This paper cites Correlation congruence for knowledge distillation,.

Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective Correlation congruence for knowledge distillation,

Reference 21

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Observation 2c0aa911-4bd8-47f6-ba88-c7f6e5bd88e8 · outbound

This paper cites Contrastive Representation Distillation.

Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective Contrastive Representation Distillation

Reference 22

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Observation 4225db31-70a9-411a-84fa-6c9494e3a34a · outbound

This paper cites Similarity-preserving knowledge distillation,.

Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective Similarity-preserving knowledge distillation,

Reference 23

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Observation e30829d4-75d2-4690-888e-9f09076551f7 · outbound

This paper cites Knowledge distillation from a stronger teacher,.

Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective Knowledge distillation from a stronger teacher,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T20:55:18.312964Z

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This paper cites Relational knowledge distillation,.

Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective Relational knowledge distillation,

Reference 25

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Observation 7d742fdc-4b7d-465b-bfee-639503bb3a0b · outbound

This paper cites Complementary relation contrastive distillation,.

Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective Complementary relation contrastive distillation,

Reference 26

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Observation 8c4f8e63-353e-4671-8c93-874d5720ff9e · outbound

This paper cites When does label smoothing help?.

Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective When does label smoothing help?

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:55:19.090316Z

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Observation 6636b01d-1945-4979-b022-98351b08f45f · outbound

This paper cites Revisiting knowledge distillation via label smoothing regularization,.

Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective Revisiting knowledge distillation via label smoothing regularization,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:55:19.078911Z

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Observation 8a11bdc6-b8b5-4cad-be17-16a16ee75785 · outbound

This paper cites Revisiting label smoothing and knowledge distillation compatibility: What was missing?.

Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective Revisiting label smoothing and knowledge distillation compatibility: What was missing?

Reference 29

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Observation 8ff36927-f510-4f20-b4a6-2573db5d43a7 · outbound

This paper cites Knowledge distillation: A survey,.

Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective Knowledge distillation: A survey,

Reference 30

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Observation 9a58e1cb-6cc0-4da1-905e-d7eb4e76c8b5 · outbound

This paper cites Knowledge distillation and student-teacher learning for visual intelligence: A review and new outlooks,.

Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective Knowledge distillation and student-teacher learning for visual intelligence: A review and new outlooks,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:55:19.050074Z

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Observation 6b6da2ca-ba73-4401-b1e5-c35d72174ec2 · outbound

This paper cites Source-Free Cross-Modal Knowledge Transfer by Unleashing the Potential of Task-Irrelevant Data.

Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective Source-Free Cross-Modal Knowledge Transfer by Unleashing the Potential of Task-Irrelevant Data

Reference 32

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This paper cites Decoupled knowledge distillation,.

Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective Decoupled knowledge distillation,

Reference 33

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This paper cites Structured knowledge distillation for semantic segmentation,.

Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective Structured knowledge distillation for semantic segmentation,

Reference 34

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Observation 692ad5af-fb33-41d3-9e41-08bbf7b23043 · outbound

This paper cites Intra-class feature variation distillation for semantic segmentation,.

Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective Intra-class feature variation distillation for semantic segmentation,

Reference 35

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Observation ee780fff-a871-457e-ad3e-b555e9cd815f · outbound

This paper cites CrossKD: Cross-Head Knowledge Distillation for Object Detection.

Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective CrossKD: Cross-Head Knowledge Distillation for Object Detection

Reference 36

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This paper cites Data-Free Knowledge Transfer: A Survey.

Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective Data-Free Knowledge Transfer: A Survey

Reference 37

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This paper cites Fitnets: Hints for thin deep nets,.

Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective Fitnets: Hints for thin deep nets,

Reference 38

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This paper cites Knowledge distillation with the reused teacher classifier,.

Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective Knowledge distillation with the reused teacher classifier,

Reference 39

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This paper cites RETA-LLM: A Retrieval-Augmented Large Language Model Toolkit.

Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective RETA-LLM: A Retrieval-Augmented Large Language Model Toolkit

Reference 40

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Observation e6dc8d9b-d6db-4635-947b-c13de100258b · outbound

This paper cites Retrieve anything to augment large language models,.

Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective Retrieve anything to augment large language models,

Reference 41

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This paper cites Lift yourself up: Retrieval-augmented text generation with self-memory,.

Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective Lift yourself up: Retrieval-augmented text generation with self-memory,

Reference 42

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Observation 19d95bef-c956-4cc1-a0a8-1d81cf53cb12 · outbound

This paper cites Recent advances in retrieval- augmented text generation,.

Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective Recent advances in retrieval- augmented text generation,

Reference 43

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Observation 177aa5b5-28b2-4454-b232-d1809f5762a1 · outbound

This paper cites Image retrieval: Ideas, influences, and trends of the new age,.

Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective Image retrieval: Ideas, influences, and trends of the new age,

Reference 44

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Observation 43ca32ee-4092-4fa4-9ae8-6ff2f515f6e3 · outbound

This paper cites Features for image retrieval: an experimental comparison,.

Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective Features for image retrieval: an experimental comparison,

Reference 45

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Observation 7347a025-596e-45b2-a96f-919e3c913c93 · outbound

This paper cites Pic2word: Mapping pictures to words for zero-shot composed image retrieval,.

Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective Pic2word: Mapping pictures to words for zero-shot composed image retrieval,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:55:18.952500Z

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Observation 74fc8dba-f142-4e17-996c-c335f6a60ef3 · outbound

This paper cites Learning semantic relationship among instances for image-text matching,.

Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective Learning semantic relationship among instances for image-text matching,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:55:18.942057Z

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Observation 19c0d0b3-8169-45c8-8c7a-a61cf6899dca · outbound

This paper cites Dynamic modality interaction modeling for image-text retrieval,.

Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective Dynamic modality interaction modeling for image-text retrieval,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:55:18.931811Z

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Observation cb9f98fd-52d0-4cd2-b7c2-2692abe9b93b · outbound

This paper cites Teachtext: Crossmodal generalized distillation for text-video retrieval,.

Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective Teachtext: Crossmodal generalized distillation for text-video retrieval,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:55:18.921904Z

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Observation 0ab95e76-4415-4719-8e4f-b6cc6c8c2755 · outbound

This paper cites Towards in-context scene understanding,.

Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective Towards in-context scene understanding,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:55:18.911180Z

Source-reported events for the cited work

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Observation bdbf9db1-8721-456e-881a-5dbcf6b2b4c4 · outbound

This paper cites What makes good examples for visual in- context learning?.

Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective What makes good examples for visual in- context learning?

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:55:18.900882Z

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Observation 124a3b7a-d7df-4992-a01f-c35862c5ec92 · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective Representation Learning with Contrastive Predictive Coding

Reference 52

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Observation a18f3d86-0aa2-4a32-992c-c1659d8d828e · outbound

This paper cites Logit standardization in knowledge distillation,.

Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective Logit standardization in knowledge distillation,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:55:18.890291Z

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Observation 2d0d51ce-5eee-4d85-afb3-4ac35ee90089 · outbound

This paper cites Like What You Like: Knowledge Distill via Neuron Selectivity Transfer.

Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective Like What You Like: Knowledge Distill via Neuron Selectivity Transfer

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-10T20:55:18.423590Z

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Observation c2c6eac9-6335-4a6d-a6f3-5a86cf8f2b1a · outbound

This paper cites Paraphrasing complex network: Network compression via factor transfer,.

Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective Paraphrasing complex network: Network compression via factor transfer,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:55:18.878988Z

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Observation 6324e85d-52ce-4ae1-a15c-b4236b040638 · outbound

This paper cites Learning deep representations with probabilis- tic knowledge transfer,.

Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective Learning deep representations with probabilis- tic knowledge transfer,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:55:18.867909Z

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Observation 5eea445a-3d8b-45ed-82ce-2a398ba74697 · outbound

This paper cites Knowledge transfer via distillation of activation boundaries formed by hidden neurons,.

Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective Knowledge transfer via distillation of activation boundaries formed by hidden neurons,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:55:18.856233Z

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Observation 7fa1c8a4-b9ab-4dd3-bb30-7e16853c40b1 · outbound

This paper cites Distilling knowledge via knowledge review,.

Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective Distilling knowledge via knowledge review,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:55:18.844921Z

Source-reported events for the cited work

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Observation 0dd20c2d-5a32-46e8-b754-d52194857de2 · outbound

This paper cites Class attention transfer based knowledge distillation,.

Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective Class attention transfer based knowledge distillation,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:55:18.833624Z

Source-reported events for the cited work

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Observation 89b2289f-b846-4249-a87f-77aa6d8a26f4 · outbound

This paper cites Learning multiple layers of features from tiny images,.

Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective Learning multiple layers of features from tiny images,

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-10T20:55:18.445576Z

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Observation 01b2c1b7-3f42-439f-bff9-15931b78b854 · outbound

This paper cites Imagenet: A large-scale hierarchical image database,.

Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective Imagenet: A large-scale hierarchical image database,

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-10T20:55:18.449112Z

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Observation 25dfb281-9b27-4eb8-83e9-eaa3ac460133 · outbound

This paper cites Going deeper with convolutions,.

Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective Going deeper with convolutions,

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-10T20:55:18.452689Z

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Observation 7735e7ed-ed29-4eac-86f6-8443e7f08316 · outbound

This paper cites Densely connected convolutional networks,.

Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective Densely connected convolutional networks,

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-10T20:55:18.456316Z

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Observation a351a16f-a267-4305-80f8-4aa829fd4e1b · outbound

This paper cites Online knowledge distillation via collaborative learning,.

Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective Online knowledge distillation via collaborative learning,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:55:18.796246Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ab8ee5cd-f679-4e4c-b072-0d543497ed2a · outbound

This paper cites A comprehensive overhaul of feature distillation,.

Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective A comprehensive overhaul of feature distillation,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:55:18.784657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 91e22236-a6d5-4231-9d48-4afee5f68a11 · outbound

This paper cites Knowledge distillation via softmax regression representation learning.

Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective Knowledge distillation via softmax regression representation learning

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:55:18.774439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation debca986-a07d-46ba-94e3-bef77146cfa9 · outbound

This paper cites Cross-layer distillation with semantic calibration,.

Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective Cross-layer distillation with semantic calibration,

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-10T20:55:18.471124Z

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Observation 7bec38ac-0360-4c98-9800-ba434a41d216 · outbound

This paper cites Distpro: Searching a fast knowledge distillation process via meta optimization,.

Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective Distpro: Searching a fast knowledge distillation process via meta optimization,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:55:18.758109Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9e7d9579-947a-4746-a1d1-0461f5338e79 · outbound

This paper cites Visualizing data using t-sne.

Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective Visualizing data using t-sne

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-10T20:55:18.478757Z

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Observation 40df4060-138d-4856-8594-1f5ac2fb3fb9 · outbound

This paper cites Deep mutual learning,.

Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective Deep mutual learning,

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-10T20:55:18.482372Z

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Observation dbe8db9a-fe89-4c30-8098-ee36dc1821b8 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows,.

Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective Swin transformer: Hierarchical vision transformer using shifted windows,

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-10T20:55:18.485947Z

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Observation 7e4feadb-f9dd-4b3f-8030-28ae3826f506 · outbound

This paper cites The cityscapes dataset for semantic urban scene understanding,.

Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective The cityscapes dataset for semantic urban scene understanding,

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-10T20:55:18.489463Z

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