Denoising Mutual Knowledge Distillation in Bi-Directional Multiple Instance Learning | Paper Citation Record

Observation e0512fd8-85ff-4b99-8dbc-709916e999fa · outbound

This paper cites Accounting for dependencies in deep learning based multiple instance learning for whole slide imaging,.

Denoising Mutual Knowledge Distillation in Bi-Directional Multiple Instance Learning Accounting for dependencies in deep learning based multiple instance learning for whole slide imaging,

Reference 1

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Observation 2edb67af-2699-458b-87ce-4a363fe6a7bc · outbound

This paper cites Clinical-grade computational pathology using weakly supervised deep learning on whole slide images,.

Denoising Mutual Knowledge Distillation in Bi-Directional Multiple Instance Learning Clinical-grade computational pathology using weakly supervised deep learning on whole slide images,

Reference 2

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Observation 80cbde88-e5d0-4fa9-85b9-ed16b2675db2 · outbound

This paper cites Deep neural network models for computational histopathology: A survey,.

Denoising Mutual Knowledge Distillation in Bi-Directional Multiple Instance Learning Deep neural network models for computational histopathology: A survey,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:06.612777Z

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Observation 7c1496b1-a01b-41e3-b74a-99e27f025a6b · outbound

This paper cites Murcl: Multi-instance reinforcement contrastive learning for whole slide image classification,.

Denoising Mutual Knowledge Distillation in Bi-Directional Multiple Instance Learning Murcl: Multi-instance reinforcement contrastive learning for whole slide image classification,

Reference 4

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Observation f5111f4d-733c-415f-86da-874497272c65 · outbound

This paper cites an unresolved cited work.

Denoising Mutual Knowledge Distillation in Bi-Directional Multiple Instance Learning Unresolved cited work

Reference 5

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Observation 0db6f11f-b5b4-4d67-90a2-9f278e15ece7 · outbound

This paper cites Attention-based deep multiple instance learning,.

Denoising Mutual Knowledge Distillation in Bi-Directional Multiple Instance Learning Attention-based deep multiple instance learning,

Reference 6

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Observation e206d411-60a0-40a8-a72c-d482669b7e41 · outbound

This paper cites Dual-stream multiple instance learning network for whole slide image classification with self-supervised contrastive learning,.

Denoising Mutual Knowledge Distillation in Bi-Directional Multiple Instance Learning Dual-stream multiple instance learning network for whole slide image classification with self-supervised contrastive learning,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:06.547737Z

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Observation 50bf3a2b-5092-4406-a603-5a5c35cb6292 · outbound

This paper cites Transmil: Transformer based correlated multiple instance learning for whole slide image classification,.

Denoising Mutual Knowledge Distillation in Bi-Directional Multiple Instance Learning Transmil: Transformer based correlated multiple instance learning for whole slide image classification,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:06.534848Z

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Observation 60b3d2e0-63c5-490c-9e6c-3afcaccb8bdb · outbound

This paper cites Dtfd-mil: Double-tier feature distillation multiple instance learning for histopathology whole slide image classification,.

Denoising Mutual Knowledge Distillation in Bi-Directional Multiple Instance Learning Dtfd-mil: Double-tier feature distillation multiple instance learning for histopathology whole slide image classification,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:06.522002Z

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Observation 60862c57-464d-4be7-81c5-98b7c3016ff2 · outbound

This paper cites Rethinking Multiple Instance Learning: Developing an Instance-Level Classifier via Weakly-Supervised Self-Training.

Denoising Mutual Knowledge Distillation in Bi-Directional Multiple Instance Learning Rethinking Multiple Instance Learning: Developing an Instance-Level Classifier via Weakly-Supervised Self-Training

Reference 11

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Observation cacd90cc-8b10-40a9-b2dd-a8db0f855395 · outbound

This paper cites Bi-directional weakly supervised knowledge distillation for whole slide image classification,.

Denoising Mutual Knowledge Distillation in Bi-Directional Multiple Instance Learning Bi-directional weakly supervised knowledge distillation for whole slide image classification,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:06.509657Z

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Observation ff91851d-31ef-4cc0-96ac-bcb91fe98b04 · outbound

This paper cites Interventional bag multi-instance learning on whole-slide pathological images,.

Denoising Mutual Knowledge Distillation in Bi-Directional Multiple Instance Learning Interventional bag multi-instance learning on whole-slide pathological images,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:06.497222Z

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Observation fbee00c1-ee30-4028-9d35-bc43917700eb · outbound

This paper cites Multiple instance learning framework with masked hard instance mining for whole slide image classification,.

Denoising Mutual Knowledge Distillation in Bi-Directional Multiple Instance Learning Multiple instance learning framework with masked hard instance mining for whole slide image classification,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:06.484886Z

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Observation 243a8c18-5287-47cf-8d88-cc98958a347f · outbound

This paper cites CaMIL: Causal multiple instance learning for whole slide image classification,.

Denoising Mutual Knowledge Distillation in Bi-Directional Multiple Instance Learning CaMIL: Causal multiple instance learning for whole slide image classification,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:06.472531Z

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Observation ff3c7971-c819-42b5-a57d-96ceb690f251 · outbound

This paper cites Robust multi-instance learning with stable instances,.

Denoising Mutual Knowledge Distillation in Bi-Directional Multiple Instance Learning Robust multi-instance learning with stable instances,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:06.459784Z

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Observation 4e3b8c58-6306-456d-af91-1d446353a0e8 · outbound

This paper cites Multi-instance causal representation learning for instance label prediction and out-of-distribution generalization,.

Denoising Mutual Knowledge Distillation in Bi-Directional Multiple Instance Learning Multi-instance causal representation learning for instance label prediction and out-of-distribution generalization,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:06.446698Z

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Observation 223e87fd-1021-4dbf-b2d6-670a90b9d4c9 · outbound

This paper cites Boosting multiple instance learning models for whole slide image classification: A model-agnostic framework based on counterfactual inference,.

Denoising Mutual Knowledge Distillation in Bi-Directional Multiple Instance Learning Boosting multiple instance learning models for whole slide image classification: A model-agnostic framework based on counterfactual inference,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:06.434031Z

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Observation 93c847e5-f88a-4a31-a9b1-eb69922df80b · outbound

This paper cites Rethinking multiple instance learning for whole slide image classification: A good instance classifier is all you need,.

Denoising Mutual Knowledge Distillation in Bi-Directional Multiple Instance Learning Rethinking multiple instance learning for whole slide image classification: A good instance classifier is all you need,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:06.421181Z

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Observation 2ab1138c-cccc-41c1-8ca9-12e9c6c96e84 · outbound

This paper cites Deep multiple instance learning for image classification and auto-annotation,.

Denoising Mutual Knowledge Distillation in Bi-Directional Multiple Instance Learning Deep multiple instance learning for image classification and auto-annotation,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:06.408283Z

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Observation 62edaa19-fcb6-42e8-b7dc-99870eadffc7 · outbound

This paper cites Toward causal representation learning,.

Denoising Mutual Knowledge Distillation in Bi-Directional Multiple Instance Learning Toward causal representation learning,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:06.395479Z

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Observation d8d92ef8-aaaa-4cd7-bf0a-678d3fac1ecb · outbound

This paper cites Learning multi-instance deep discriminative patterns for image classification,.

Denoising Mutual Knowledge Distillation in Bi-Directional Multiple Instance Learning Learning multi-instance deep discriminative patterns for image classification,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:06.382500Z

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Observation 0e3dcf5d-c2bd-4682-9841-9431a04849cc · outbound

This paper cites Weldon: Weakly supervised learning of deep convolutional neural networks,.

Denoising Mutual Knowledge Distillation in Bi-Directional Multiple Instance Learning Weldon: Weakly supervised learning of deep convolutional neural networks,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:06.369538Z

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Observation 0effc0d8-7a1e-4342-8def-9ddc94155dc9 · outbound

This paper cites Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning.

Denoising Mutual Knowledge Distillation in Bi-Directional Multiple Instance Learning Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning

Reference 24

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Observation 71b733da-99b6-41af-b5e3-f30fb659e715 · outbound

This paper cites Self-training with noisy student improves imagenet classification,.

Denoising Mutual Knowledge Distillation in Bi-Directional Multiple Instance Learning Self-training with noisy student improves imagenet classification,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:06.356845Z

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Observation cb71407f-c80c-4874-97ff-f311e7bcc762 · outbound

This paper cites Revisiting multiple instance neural networks,.

Denoising Mutual Knowledge Distillation in Bi-Directional Multiple Instance Learning Revisiting multiple instance neural networks,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:06.344101Z

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Observation ba0ba5d1-75bb-4fbd-86ad-5ae73ec6940a · outbound

This paper cites Whole slide images are 2d point clouds: Context-aware survival prediction using patch-based graph convolutional networks,.

Denoising Mutual Knowledge Distillation in Bi-Directional Multiple Instance Learning Whole slide images are 2d point clouds: Context-aware survival prediction using patch-based graph convolutional networks,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:06.331487Z

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Observation 1401910f-4c3d-4dc0-b435-972827b75b46 · outbound

This paper cites A graph-transformer for whole slide image classification,.

Denoising Mutual Knowledge Distillation in Bi-Directional Multiple Instance Learning A graph-transformer for whole slide image classification,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:06.318599Z

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Observation d8559b45-295d-4fea-b4f7-bbcc06de7c36 · outbound

This paper cites Dynamic graph representation with knowledge-aware attention for histopathology whole slide image analysis,.

Denoising Mutual Knowledge Distillation in Bi-Directional Multiple Instance Learning Dynamic graph representation with knowledge-aware attention for histopathology whole slide image analysis,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:06.304313Z

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Observation 72c3ad09-875d-4f66-91ea-0d88fa508a98 · outbound

This paper cites Data- efficient and weakly supervised computational pathology on whole-slide images,.

Denoising Mutual Knowledge Distillation in Bi-Directional Multiple Instance Learning Data- efficient and weakly supervised computational pathology on whole-slide images,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:06.560462Z

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Observation 0ad28ffc-6605-44a2-b2d7-7f9efda316b1 · outbound

This paper cites Dgmil: Distribution guided multiple instance learning for whole slide image classification,.

Denoising Mutual Knowledge Distillation in Bi-Directional Multiple Instance Learning Dgmil: Distribution guided multiple instance learning for whole slide image classification,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:06.291745Z

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Observation 148bb460-d29f-4bc0-ac8c-20db244c9b2f · outbound

This paper cites Training region-based object detectors with online hard example mining,.

Denoising Mutual Knowledge Distillation in Bi-Directional Multiple Instance Learning Training region-based object detectors with online hard example mining,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:06.278965Z

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Observation 4e377414-186b-4880-a5bc-d33e58a4e197 · outbound

This paper cites Hard example mining in multi-instance learning for whole-slide image classification,.

Denoising Mutual Knowledge Distillation in Bi-Directional Multiple Instance Learning Hard example mining in multi-instance learning for whole-slide image classification,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:06.264452Z

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Observation b884f824-a4f8-470d-99f0-9c4c79f347cb · outbound

This paper cites Attention-challenging multiple instance learning for whole slide image classification,.

Denoising Mutual Knowledge Distillation in Bi-Directional Multiple Instance Learning Attention-challenging multiple instance learning for whole slide image classification,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:06.250517Z

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Observation 31e119ca-9195-4326-ac8e-ec827df0b37b · outbound

This paper cites Weak-to-strong generalization: eliciting strong capabilities with weak supervision,.

Denoising Mutual Knowledge Distillation in Bi-Directional Multiple Instance Learning Weak-to-strong generalization: eliciting strong capabilities with weak supervision,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:06.237970Z

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Observation dc15c11c-aeda-482e-9e2a-016bfe135e30 · outbound

This paper cites Quantifying the gain in weak-to-strong generaliza- tion,.

Denoising Mutual Knowledge Distillation in Bi-Directional Multiple Instance Learning Quantifying the gain in weak-to-strong generaliza- tion,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:06.224875Z

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Observation 7a5cba7c-18a7-48b8-8c27-7e585405562c · outbound

This paper cites Theoretical analysis of weak-to-strong generaliza- tion,.

Denoising Mutual Knowledge Distillation in Bi-Directional Multiple Instance Learning Theoretical analysis of weak-to-strong generaliza- tion,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:06.211248Z

Source-reported events for the cited work

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Observation e296bad4-4e0d-4678-99b5-4473842c7866 · outbound

This paper cites Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models.

Denoising Mutual Knowledge Distillation in Bi-Directional Multiple Instance Learning Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-15T20:47:05.977680Z

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Observation 507b430c-2278-4bcc-b9f4-e0fa5810ba34 · outbound

This paper cites Self-instruct: Aligning language models with self-generated instructions,.

Denoising Mutual Knowledge Distillation in Bi-Directional Multiple Instance Learning Self-instruct: Aligning language models with self-generated instructions,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:06.197881Z

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Observation a9b0f5ec-2cb0-4fe8-bd84-a332a87dbd47 · outbound

This paper cites Bayesian weaks-to-strong from text classifi- cation to generation,.

Denoising Mutual Knowledge Distillation in Bi-Directional Multiple Instance Learning Bayesian weaks-to-strong from text classifi- cation to generation,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:06.184454Z

Source-reported events for the cited work

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Observation 8833914d-af7b-48a4-adc0-7b8e5ffc4a66 · outbound

This paper cites A transfer learning framework for weak to strong generalization,.

Denoising Mutual Knowledge Distillation in Bi-Directional Multiple Instance Learning A transfer learning framework for weak to strong generalization,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:06.170592Z

Source-reported events for the cited work

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Observation 7a71ff29-4016-4014-807c-ed13b7ad43d4 · outbound

This paper cites Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer,.

Denoising Mutual Knowledge Distillation in Bi-Directional Multiple Instance Learning Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:06.155931Z

Source-reported events for the cited work

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Observation 6069db9d-89a0-4e54-8468-85839468f783 · outbound

This paper cites Deep residual learning for image recognition,.

Denoising Mutual Knowledge Distillation in Bi-Directional Multiple Instance Learning Deep residual learning for image recognition,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:06.141613Z

Source-reported events for the cited work

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Observation 029ffa07-bd7d-4ece-bb90-8a8d658e60a4 · outbound

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

Denoising Mutual Knowledge Distillation in Bi-Directional Multiple Instance Learning Imagenet: A large-scale hierarchical image database,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:06.127649Z

Source-reported events for the cited work

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Observation 3344d88d-d675-4025-838c-f46b3cd43b77 · outbound

This paper cites A visual-language foundation model for computational pathology,.

Denoising Mutual Knowledge Distillation in Bi-Directional Multiple Instance Learning A visual-language foundation model for computational pathology,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:06.112963Z

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 7e11db86-64d5-4cd6-ae6d-56a2fdd65fe7 · outbound

This paper cites A visual–language foundation model for pathology image analysis using medical twitter,.

Denoising Mutual Knowledge Distillation in Bi-Directional Multiple Instance Learning A visual–language foundation model for pathology image analysis using medical twitter,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:47:06.098600Z

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