Paper Citation Record · LEDGER

An Attention Mechanism for Musical Instrument Recognition

As of 18 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 1 inbound Pith citation observation for arXiv:1907.04294.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
1907.04294 v1

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-25T00:01:36.704060Z

measured 56 of 56 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-25T00:01:36.704060Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-05-25T00:05:06.886278Z

Reference resolution

55 of 55 outbound references displayed

verified exact4
verified fuzzy50
unresolved1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2b422265-9c00-4b2d-9b2e-0f32d05e6837 · outbound

This paper cites An Attention Mechanism for Musical Instrument Recognition.

An Attention Mechanism for Musical Instrument Recognition An Attention Mechanism for Musical Instrument Recognition

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-25T00:05:06.889342Z

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Observation 8d473823-93da-4ba4-b9ed-b8582b07574f · outbound

This paper cites We refer to [15,26] for a review of literature in single instrument and monophonic instrument recognition.

An Attention Mechanism for Musical Instrument Recognition We refer to [15,26] for a review of literature in single instrument and monophonic instrument recognition

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T00:05:08.896101Z

Source-reported events for the cited work

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Observation d78ebe91-9137-4196-afcc-388270c3406f · outbound

This paper cites 2.1, we introduced research on instrument recogni- tion in polyphonic, multi-timbral music.

An Attention Mechanism for Musical Instrument Recognition 2.1, we introduced research on instrument recogni- tion in polyphonic, multi-timbral music

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T00:05:08.892403Z

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Observation 4716f048-3ab2-45f2-ab27-34972c35a389 · outbound

This paper cites 4.1 Pre-Processing As mentioned in Sect.

An Attention Mechanism for Musical Instrument Recognition 4.1 Pre-Processing As mentioned in Sect

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T00:05:08.888823Z

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Observation 64463c34-0ada-4edf-ad1e-1240fd5e5cd4 · outbound

This paper cites 5.1 Dataset We use the OpenMIC dataset for the experiments in this paper.

An Attention Mechanism for Musical Instrument Recognition 5.1 Dataset We use the OpenMIC dataset for the experiments in this paper

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T00:05:08.885693Z

Source-reported events for the cited work

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Observation e79a9d8c-0425-4bf0-9518-1819d1259c0c · outbound

This paper cites A binary-relevance transformation is applied to convert the multi-label classiﬁcation task into 20 independent binary classiﬁcation tasks [39].

An Attention Mechanism for Musical Instrument Recognition A binary-relevance transformation is applied to convert the multi-label classiﬁcation task into 20 independent binary classiﬁcation tasks [39]

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T00:05:08.881626Z

Source-reported events for the cited work

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Observation 330196b8-4a42-4147-8030-5c03580c144f · outbound

This paper cites Here, the input features of dimension 10× 128 are ﬂattened into a single feature vector for classiﬁcation.

An Attention Mechanism for Musical Instrument Recognition Here, the input features of dimension 10× 128 are ﬂattened into a single feature vector for classiﬁcation

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T00:05:08.878063Z

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Observation b8dcb1c2-5afa-4d61-bcc5-7ccf8f741a03 · outbound

This paper cites FC_T uses the same embedding layer as ATT.

An Attention Mechanism for Musical Instrument Recognition FC_T uses the same embedding layer as ATT

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T00:05:08.874650Z

Source-reported events for the cited work

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Observation 227caeaf-c46b-4a3c-9375-7e590b320ba6 · outbound

This paper cites The model processes the input features and produces a single embedding which is then fed to a classiﬁer for all 20 instruments.

An Attention Mechanism for Musical Instrument Recognition The model processes the input features and produces a single embedding which is then fed to a classiﬁer for all 20 instruments

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T00:05:08.870824Z

Source-reported events for the cited work

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Observation d6c08285-4641-4659-9264-f7bbcead0677 · outbound

This paper cites Additionally, we compare the instrument-wise F1-score for each model in Figure 3.

An Attention Mechanism for Musical Instrument Recognition Additionally, we compare the instrument-wise F1-score for each model in Figure 3

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T00:05:08.866263Z

Source-reported events for the cited work

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Observation cd008d97-4e9e-4b76-bae6-c4f54ed7ae8f · outbound

This paper cites This calls for a paradigm shift in the ap- proaches towards supervised learning approaches better suited for weakly labeled data.

An Attention Mechanism for Musical Instrument Recognition This calls for a paradigm shift in the ap- proaches towards supervised learning approaches better suited for weakly labeled data

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T00:05:09.054305Z

Source-reported events for the cited work

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Observation 12308d8d-75f3-4f1a-bc33-8b0d944c2114 · outbound

This paper cites We thank them for their generous support and meaningful dis- cussions.

An Attention Mechanism for Musical Instrument Recognition We thank them for their generous support and meaningful dis- cussions

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T00:05:09.050264Z

Source-reported events for the cited work

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Observation 2e2cf308-223b-4ffa-b213-fda6be8e0424 · outbound

This paper cites Sound event detection using spatial features and convo- lutional recurrent neural network.

An Attention Mechanism for Musical Instrument Recognition Sound event detection using spatial features and convo- lutional recurrent neural network

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T00:05:09.046184Z

Source-reported events for the cited work

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Observation be7cd99b-cac2-4ac5-8c60-6ee8312da7b3 · outbound

This paper cites Neural machine translation by jointly learning to align and translate.

An Attention Mechanism for Musical Instrument Recognition Neural machine translation by jointly learning to align and translate

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T00:05:09.042455Z

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.

Observation 135b074b-6606-4947-9246-10c3a265146a · outbound

This paper cites Multilabel classiﬁcation with label correlations and missing labels.

An Attention Mechanism for Musical Instrument Recognition Multilabel classiﬁcation with label correlations and missing labels

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T00:05:09.038855Z

Source-reported events for the cited work

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Observation ac435ceb-54d9-439b-b450-4e5437da388f · outbound

This paper cites Medleydb: A multitrack dataset for annotation- intensive MIR research.

An Attention Mechanism for Musical Instrument Recognition Medleydb: A multitrack dataset for annotation- intensive MIR research

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T00:05:09.035027Z

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.

Observation 46693f31-7fc2-4ee3-b871-ef7631e4a350 · outbound

This paper cites A comparison of sound segregation techniques for predominant instrument recognition in musical audio signals.

An Attention Mechanism for Musical Instrument Recognition A comparison of sound segregation techniques for predominant instrument recognition in musical audio signals

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T00:05:09.031379Z

Source-reported events for the cited work

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Observation 671d03e3-8a42-4366-a14c-79d34359dc5d · outbound

This paper cites Convolutional recurrent neural networks for polyphonic sound event detection.

An Attention Mechanism for Musical Instrument Recognition Convolutional recurrent neural networks for polyphonic sound event detection

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T00:05:09.027240Z

Source-reported events for the cited work

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Observation f65a61f7-167a-483a-a8b2-becf9a906167 · outbound

This paper cites Learning a deep convnet for multi-label classiﬁcation with partial labels.

An Attention Mechanism for Musical Instrument Recognition Learning a deep convnet for multi-label classiﬁcation with partial labels

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T00:05:09.023707Z

Source-reported events for the cited work

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Observation 6826fdfa-262c-4289-b6d2-77f54e52fb12 · outbound

This paper cites A review of multi- instance learning assumptions.

An Attention Mechanism for Musical Instrument Recognition A review of multi- instance learning assumptions

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T00:05:09.019998Z

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.

Observation 182142ef-e2e5-47eb-b4e2-84c98ea76a5b · outbound

This paper cites Automatic musical instrument recognition from polyphonic music audio signals.

An Attention Mechanism for Musical Instrument Recognition Automatic musical instrument recognition from polyphonic music audio signals

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T00:05:09.015914Z

Source-reported events for the cited work

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Observation 3ae611d5-53f6-433a-bcb9-dda8ef8c64ac · outbound

This paper cites Gemmeke, Daniel P.

An Attention Mechanism for Musical Instrument Recognition Gemmeke, Daniel P

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T00:05:09.011883Z

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.

Observation 63322988-716f-4278-b027-fe702a49382e · outbound

This paper cites Mixing se- crets: A multi-track dataset for instrument detection in polyphonic music.

An Attention Mechanism for Musical Instrument Recognition Mixing se- crets: A multi-track dataset for instrument detection in polyphonic music

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T00:05:09.007541Z

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.

Observation 9c90fabf-8614-432c-83c6-2f473cad3977 · outbound

This paper cites Instrument activity detection in polyphonic music using deep neural networks.

An Attention Mechanism for Musical Instrument Recognition Instrument activity detection in polyphonic music using deep neural networks

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T00:05:09.004078Z

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.

Observation bbf66a36-891e-453f-a9a5-644513ed08b9 · outbound

This paper cites Deep convolutional neural networks for predominant instru- ment recognition in polyphonic music.

An Attention Mechanism for Musical Instrument Recognition Deep convolutional neural networks for predominant instru- ment recognition in polyphonic music

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T00:05:09.000350Z

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.

Observation a4f69054-1bc4-44a2-9536-3a6d2958dbaa · outbound

This paper cites Sparse feature learning for instrument identi- ﬁcation: Effects of sampling and pooling methods.

An Attention Mechanism for Musical Instrument Recognition Sparse feature learning for instrument identi- ﬁcation: Effects of sampling and pooling methods

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T00:05:08.996290Z

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.

Observation 5391c38a-59dd-4447-9a20-76405e7a81c3 · outbound

This paper cites Automatic classiﬁcation of musical instrument sounds.

An Attention Mechanism for Musical Instrument Recognition Automatic classiﬁcation of musical instrument sounds

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T00:05:08.992311Z

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.

Observation 1e2568e9-1502-4f2d-87a8-d481322c4ff8 · outbound

This paper cites an unresolved cited work.

An Attention Mechanism for Musical Instrument Recognition Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-05-25T00:05:08.988125Z

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.

Observation 8c1567e7-8a49-4d83-98a1-cc1186b91627 · outbound

This paper cites Openmic-2018: An open dataset for multiple instru- ment recognition.

An Attention Mechanism for Musical Instrument Recognition Openmic-2018: An open dataset for multiple instru- ment recognition

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T00:05:08.984862Z

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.

Observation 862129b5-faa6-4105-a16d-23957158a1b4 · outbound

This paper cites Mul- titask learning for frame-level instrument recognition.

An Attention Mechanism for Musical Instrument Recognition Mul- titask learning for frame-level instrument recognition

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T00:05:08.981535Z

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.

Observation b8626973-6e06-4fb8-a202-9268642d1f0b · outbound

This paper cites Frame-level instru- ment recognition by timbre and pitch.

An Attention Mechanism for Musical Instrument Recognition Frame-level instru- ment recognition by timbre and pitch

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T00:05:08.977840Z

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.

Observation 9067c0ae-628c-4566-8be6-fdd5b8f66648 · outbound

This paper cites Kingma and Jimmy Ba.

An Attention Mechanism for Musical Instrument Recognition Kingma and Jimmy Ba

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T00:05:08.974068Z

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.

Observation 2916b57b-ebf2-4ed7-8e52-7a0c2254bd74 · outbound

This paper cites Instrument iden- tiﬁcation in polyphonic music: Feature weighting to minimize inﬂuence of sound overlaps.

An Attention Mechanism for Musical Instrument Recognition Instrument iden- tiﬁcation in polyphonic music: Feature weighting to minimize inﬂuence of sound overlaps

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T00:05:08.970592Z

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.

Observation 229f4154-e34e-4c6b-b4e9-14f6e7cdfc5f · outbound

This paper cites Audio set classiﬁcation with attention model: A probabilistic perspective.

An Attention Mechanism for Musical Instrument Recognition Audio set classiﬁcation with attention model: A probabilistic perspective

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T00:05:08.966577Z

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.

Observation 9065281e-f422-4775-9291-ba1769fb7bd8 · outbound

This paper cites Weakly Labelled AudioSet Tagging with Attention Neural Networks.

An Attention Mechanism for Musical Instrument Recognition Weakly Labelled AudioSet Tagging with Attention Neural Networks

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-25T00:05:06.863744Z

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.

Observation b82acc49-c9f1-4ba4-9c6b-012d2703bdfc · outbound

This paper cites Audio event detection using weakly labeled data.

An Attention Mechanism for Musical Instrument Recognition Audio event detection using weakly labeled data

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T00:05:08.963270Z

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.

Observation a61a15fa-ba1a-4c49-a2be-0067aea96194 · outbound

This paper cites Automatic Instrument Recognition in Polyphonic Music Using Convolutional Neural Networks.

An Attention Mechanism for Musical Instrument Recognition Automatic Instrument Recognition in Polyphonic Music Using Convolutional Neural Networks

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-05-25T00:05:06.872306Z

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.

Observation 8edb7e0d-266d-487f-bfaa-38d3c5b0a10b · outbound

This paper cites Extended Playing Techniques: The Next Mile- stone in Musical Instrument Recognition.

An Attention Mechanism for Musical Instrument Recognition Extended Playing Techniques: The Next Mile- stone in Musical Instrument Recognition

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T00:05:08.959590Z

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.

Observation 4e0e1d1c-1eb3-4422-aa78-99a434340444 · outbound

This paper cites Adaptive pooling operators for weakly labeled sound event detection.

An Attention Mechanism for Musical Instrument Recognition Adaptive pooling operators for weakly labeled sound event detection

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T00:05:08.955859Z

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.

Observation b1b3d451-fdd3-4df7-8f09-a92d791d8cfd · outbound

This paper cites Correlative multi-label video annotation.

An Attention Mechanism for Musical Instrument Recognition Correlative multi-label video annotation

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T00:05:08.952209Z

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.

Observation fd0a690a-b3d2-47db-8b10-dabdf78501c0 · outbound

This paper cites Feed-Forward Networks with Attention Can Solve Some Long-Term Memory Problems.

An Attention Mechanism for Musical Instrument Recognition Feed-Forward Networks with Attention Can Solve Some Long-Term Memory Problems

Reference 41

Resolution: verified exact; local_arxiv, observed 2026-05-25T00:05:06.881757Z

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.

Observation 9fa40cef-e6ad-4d5e-bd72-3326caa50abc · outbound

This paper cites Very deep convolutional networks for large-scale image recogni- tion.

An Attention Mechanism for Musical Instrument Recognition Very deep convolutional networks for large-scale image recogni- tion

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T00:05:08.948149Z

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.

Observation ff53b148-6128-4182-a488-30ab3a98a8f3 · outbound

This paper cites Plumbley.

An Attention Mechanism for Musical Instrument Recognition Plumbley

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T00:05:08.944607Z

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.

Observation 1ad06b31-715e-4cff-9423-73b89fa614bf · outbound

This paper cites Instrudive: A Music Visualization System Based on Automatically Recognized Instrumentation.

An Attention Mechanism for Musical Instrument Recognition Instrudive: A Music Visualization System Based on Automatically Recognized Instrumentation

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T00:05:08.941235Z

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.

Observation 0dfd25cd-2f7b-4b58-a2aa-ee64f3a0abd1 · outbound

This paper cites Learning features of music from scratch.

An Attention Mechanism for Musical Instrument Recognition Learning features of music from scratch

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T00:05:08.937807Z

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.

Observation 19627977-1c71-4420-adec-f233f7c48871 · outbound

This paper cites Multi-label classiﬁca- tion of music into emotions.

An Attention Mechanism for Musical Instrument Recognition Multi-label classiﬁca- tion of music into emotions

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T00:05:08.934066Z

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.

Observation e3e0d88b-96f9-4dce-b437-e2c7a4942c30 · outbound

This paper cites Attention is All you Need.

An Attention Mechanism for Musical Instrument Recognition Attention is All you Need

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T00:05:08.930291Z

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.

Observation 3549f1a5-ac95-426e-ba73-f8d0ae6ee270 · outbound

This paper cites From labeled to unlabeled data – on the data challenge in automatic drum transcription.

An Attention Mechanism for Musical Instrument Recognition From labeled to unlabeled data – on the data challenge in automatic drum transcription

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T00:05:08.926179Z

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.

Observation e8e3034d-6505-4a9f-b05a-db2c29b7b594 · outbound

This paper cites Deep sets.

An Attention Mechanism for Musical Instrument Recognition Deep sets

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T00:05:08.922597Z

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.

Observation 65a6bf71-f777-46e1-9144-4e4eed68f772 · outbound

This paper cites Joint multi-label multi-instance learning for image classiﬁcation.

An Attention Mechanism for Musical Instrument Recognition Joint multi-label multi-instance learning for image classiﬁcation

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T00:05:08.919145Z

Source-reported events for the cited work

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Observation bcd0a74e-7a60-43cc-9bff-33022875eb44 · outbound

This paper cites Binary relevance for multi-label learning: an overview.

An Attention Mechanism for Musical Instrument Recognition Binary relevance for multi-label learning: an overview

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T00:05:08.915164Z

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Observation 2a6ca5f6-2013-4694-9136-ff782c560551 · outbound

This paper cites Multi-label learning by exploiting label dependency.

An Attention Mechanism for Musical Instrument Recognition Multi-label learning by exploiting label dependency

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T00:05:08.911335Z

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Observation 5c3b6819-897c-4799-b375-0e0f0e3663ab · outbound

This paper cites Neural networks for multi-instance learning.

An Attention Mechanism for Musical Instrument Recognition Neural networks for multi-instance learning

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T00:05:08.907023Z

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Observation d2e123a4-db04-4cf5-abbf-3f87325e5bae · outbound

This paper cites Multi-instance multi-label learning with application to scene classiﬁca- tion.

An Attention Mechanism for Musical Instrument Recognition Multi-instance multi-label learning with application to scene classiﬁca- tion

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T00:05:08.903574Z

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

Observation f47f94b0-98c0-45fc-8949-18e8e2be5e52 · outbound

This paper cites Multi-instance multi-label learning.

An Attention Mechanism for Musical Instrument Recognition Multi-instance multi-label learning

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T00:05:08.899703Z

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.

Pith citing papers

Observation 2b422265-9c00-4b2d-9b2e-0f32d05e6837 · inbound