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Paper Citation Record · LEDGER

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer

As of 11 August 2026, this Paper Citation Record lists 77 of 77 outbound references and 0 inbound Pith citation observations for arXiv:2501.15496.

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

pith.paper-citation-record.v1
2501.15496 v1

Coverage vector

measured 77 of 77 reference resolution

Typed states for the displayed outbound observations.

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measured 77 of 77 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

77 of 77 outbound references displayed

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  • verified fuzzy45
  • unresolved26
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 36ed4a95-0574-4cd2-9bf5-7251d64b32e5 · outbound

This paper cites Deep neural networks for acoustic modeling in speech recognition: The shared views of four research groups,.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Deep neural networks for acoustic modeling in speech recognition: The shared views of four research groups,

Reference 1

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Observation 411b1b3c-a65f-42db-be25-5777aed80af1 · outbound

This paper cites Conversational speech transcription using context-dependent deep neural networks,.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Conversational speech transcription using context-dependent deep neural networks,

Reference 2

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Observation 5df40268-68fb-4d90-8f5d-22e23a6b05c3 · outbound

This paper cites A regression approach to speech enhancement based on deep neural networks,.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer A regression approach to speech enhancement based on deep neural networks,

Reference 3

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Observation 6e3d22fe-a1d4-4b71-a32c-dce1d0226c9f · outbound

This paper cites Listen, attend and spell: A neural network for large vocabulary conversational speech recognition,.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Listen, attend and spell: A neural network for large vocabulary conversational speech recognition,

Reference 4

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Observation de73e844-6c14-4af2-bd41-c54dd5dbe92b · outbound

This paper cites Robust speech recognition via large-scale weak super- vision,.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Robust speech recognition via large-scale weak super- vision,

Reference 5

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Observation fd343b04-2296-4fec-a6c3-0400057d9897 · outbound

This paper cites A multi-device dataset for urban acoustic scene classification.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer A multi-device dataset for urban acoustic scene classification

Reference 6

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Observation bef7cf9a-8bb4-43f6-b34c-d8f8e496f71d · outbound

This paper cites Unsupervised adversarial domain adaptation for acoustic scene classification.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Unsupervised adversarial domain adaptation for acoustic scene classification

Reference 7

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Observation fa55c019-cf30-4b60-8c73-53f8e62a0718 · outbound

This paper cites Low-Complexity Models for Acoustic Scene Classification Based on Receptive Field Regularization and Frequency Damping.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Low-Complexity Models for Acoustic Scene Classification Based on Receptive Field Regularization and Frequency Damping

Reference 8

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Observation 27a854c7-ade8-4332-bbf1-1bc7b538ef96 · outbound

This paper cites Novel augmentation schemes for device robust acoustic scene classification.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Novel augmentation schemes for device robust acoustic scene classification

Reference 9

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Observation aec46a42-dd81-459a-9662-08d80d96ec7e · outbound

This paper cites Device-Robust Acoustic Scene Classification Based on Two-Stage Categorization and Data Augmentation.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Device-Robust Acoustic Scene Classification Based on Two-Stage Categorization and Data Augmentation

Reference 10

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Observation 4f64c216-ec2e-4029-a55f-994fc2231c00 · outbound

This paper cites Domain generalization with relaxed instance frequency-wise normalization for multi-device acoustic scene classification,.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Domain generalization with relaxed instance frequency-wise normalization for multi-device acoustic scene classification,

Reference 11

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Observation 4098157c-af4e-4e07-8777-d180b4a17b43 · outbound

This paper cites Device-robust acoustic scene classification via impulse response augmentation,.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Device-robust acoustic scene classification via impulse response augmentation,

Reference 12

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Observation 68a2f9b0-8324-49ad-bdf7-9d8759992795 · outbound

This paper cites Multi-level distance embedding learning for robust acoustic scene classification with unseen devices,.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Multi-level distance embedding learning for robust acoustic scene classification with unseen devices,

Reference 13

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Observation 380f7bff-ae1e-4825-88f9-3931b416c3db · outbound

This paper cites An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks

Reference 14

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Observation 16365106-6255-4734-9d2b-1385e6fea416 · outbound

This paper cites Max- imum a posteriori adaptation of network parameters in deep models,.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Max- imum a posteriori adaptation of network parameters in deep models,

Reference 15

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Observation 6f4e13d9-0970-464f-97e2-3db638138fa7 · outbound

This paper cites Overcoming catastrophic forgetting in neural networks,.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Overcoming catastrophic forgetting in neural networks,

Reference 16

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Observation a5377e9c-216b-4e7e-a48b-55d9d3d62a4d · outbound

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Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Unresolved cited work

Reference 17

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Observation 8a5c2c01-2923-44db-b0e7-22e0ff319f73 · outbound

This paper cites Why and when can deep-but not shallow-networks avoid the curse of dimension- ality: a review,.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Why and when can deep-but not shallow-networks avoid the curse of dimension- ality: a review,

Reference 18

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Observation 8f85d234-ffe5-410b-90b9-43830e590feb · outbound

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Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Unresolved cited work

Reference 19

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This paper cites On adaptive decision rules and decision parameter adaptation for automatic speech recognition,.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer On adaptive decision rules and decision parameter adaptation for automatic speech recognition,

Reference 20

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Observation 198f6c64-24e2-4668-b708-e7a14d736a46 · outbound

This paper cites Maximum a posteriori estimation for multivariate gaussian mixture observations of markov chains,.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Maximum a posteriori estimation for multivariate gaussian mixture observations of markov chains,

Reference 21

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This paper cites Bayesian unsupervised batch and online speaker adaptation of activation function parameters in deep models for automatic speech recognition,.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Bayesian unsupervised batch and online speaker adaptation of activation function parameters in deep models for automatic speech recognition,

Reference 22

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Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Unresolved cited work

Reference 23

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This paper cites Joint maximum a posteriori adaptation of transformation and hmm parameters,.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Joint maximum a posteriori adaptation of transformation and hmm parameters,

Reference 24

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This paper cites On-line adaptive learning of the continuous density hidden markov model based on approximate recursive bayes estimate,.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer On-line adaptive learning of the continuous density hidden markov model based on approximate recursive bayes estimate,

Reference 25

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Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer A structural bayes approach to speaker adaptation,

Reference 26

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This paper cites Hierarchical bayesian combination of plug-in maximum a posteriori decoders in deep neural networks-based speech recognition and speaker adaptation,.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Hierarchical bayesian combination of plug-in maximum a posteriori decoders in deep neural networks-based speech recognition and speaker adaptation,

Reference 27

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This paper cites Probabilistic inference using markov chain monte carlo methods,.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Probabilistic inference using markov chain monte carlo methods,

Reference 28

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Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Unresolved cited work

Reference 29

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Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Variational algorithms for approximate bayesian inference,

Reference 30

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Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Variational Bayesian Inference with Stochastic Search

Reference 31

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Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Variational bayesian estimation and clustering for speech recognition,

Reference 32

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This paper cites Auto-Encoding Variational Bayes.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Auto-Encoding Variational Bayes

Reference 33

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Observation 4ac04d07-e6df-4791-b0d1-d2b89030dcfa · outbound

This paper cites A variational bayesian approach to learning latent variables for acoustic knowledge transfer,.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer A variational bayesian approach to learning latent variables for acoustic knowledge transfer,

Reference 34

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Source-reported events for the cited work

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Observation 0e9fb7ea-63b6-4080-833c-4f8cee9ddae1 · outbound

This paper cites Variational Information Bottleneck for Effective Low-resource Audio Classification.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Variational Information Bottleneck for Effective Low-resource Audio Classification

Reference 35

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 156a9e72-b5fd-469b-9450-3e152283162f · outbound

This paper cites Learning small-size dnn with output-distribution-based criteria,.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Learning small-size dnn with output-distribution-based criteria,

Reference 36

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation e31a564e-7acc-458b-9fbb-e07d486e716f · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Distilling the Knowledge in a Neural Network

Reference 37

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Observation b4a47e24-253e-4108-9446-ee7d5f297096 · outbound

This paper cites FitNets: Hints for Thin Deep Nets.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer FitNets: Hints for Thin Deep Nets

Reference 38

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Observation 7031fadd-10f7-4ca3-a6d3-2e12cceff3f5 · outbound

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

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer

Reference 39

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Observation 968cf0ec-9c01-4427-ad1c-aa7843fc19c2 · outbound

This paper cites A comprehensive overhaul of feature distillation,.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer A comprehensive overhaul of feature distillation,

Reference 40

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Observation 91dd7aac-a63d-4d6c-8b8b-bb8d72e02cdc · outbound

This paper cites Practical variational inference for neural networks,.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Practical variational inference for neural networks,

Reference 42

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 3f234866-4359-4604-99ee-5f8d4da07c75 · outbound

This paper cites Unifying distillation and privileged information.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Unifying distillation and privileged information

Reference 43

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Observation 3bb53da9-bcfe-4fcf-b5a7-e24617e19e12 · outbound

This paper cites Learning using privileged information: similarity control and knowledge transfer.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Learning using privileged information: similarity control and knowledge transfer

Reference 44

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 59007c43-aa39-4bd5-8f9d-bf79e3f2a421 · outbound

This paper cites Large-Scale Domain Adaptation via Teacher-Student Learning.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Large-Scale Domain Adaptation via Teacher-Student Learning

Reference 45

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Observation 5a744abb-92b0-4697-b263-6cebb55b8513 · outbound

This paper cites On information and sufficiency,.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer On information and sufficiency,

Reference 46

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Observation d46aaf4e-ff17-4d0d-973a-f14a15edd6c3 · outbound

This paper cites M ´ezard, G.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer M ´ezard, G

Reference 47

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 20c25888-f31c-4589-8c67-c4a6e1b22fc2 · outbound

This paper cites Ambjørn, B.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Ambjørn, B

Reference 48

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation e5e408e0-1344-4948-a825-490e3abaf2c3 · outbound

This paper cites Pattern recognition,.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Pattern recognition,

Reference 49

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 400ce7e2-269f-4d5e-9146-494c0a074b5c · outbound

This paper cites Robbins, An empirical Bayes approach to statistics.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Robbins, An empirical Bayes approach to statistics

Reference 50

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation c9f054ef-7808-47b3-a6e2-733a8e2b3774 · outbound

This paper cites Fixed-form variational posterior approximation through stochastic linear regression,.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Fixed-form variational posterior approximation through stochastic linear regression,

Reference 51

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 8e780ea1-d208-419a-b4d8-3180dd4440d2 · outbound

This paper cites an unresolved cited work.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Unresolved cited work

Reference 52

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 46c95360-3868-4294-8a4a-b57df2369cba · outbound

This paper cites Relational teacher student learning with neural label embedding for device adaptation in acoustic scene classification,.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Relational teacher student learning with neural label embedding for device adaptation in acoustic scene classification,

Reference 53

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 9f4a75fc-6353-4c21-b2bd-b345b50f2a93 · outbound

This paper cites Relational knowledge distilla- tion,.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Relational knowledge distilla- tion,

Reference 54

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 933b771a-4bbd-4429-b072-5358e0d8c1af · outbound

This paper cites Correlation congruence for knowledge distillation,.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Correlation congruence for knowledge distillation,

Reference 55

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation ce7b9a19-4d24-40b6-9f07-d1cb622d2d1c · outbound

This paper cites Approximating the kullback leibler divergence between gaussian mixture models,.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Approximating the kullback leibler divergence between gaussian mixture models,

Reference 56

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raw_fallback, observed 2026-08-10T14:18:45.321700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation b8004e13-d71d-45ad-a674-9fdce7146752 · outbound

This paper cites Robust estimation of a location parameter,.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Robust estimation of a location parameter,

Reference 57

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 9d80a990-00e4-4e1e-8121-ed7c4993d7e1 · outbound

This paper cites Acoustic scene classification in DCASE 2020 Challenge: generalization across devices and low complexity solutions.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Acoustic scene classification in DCASE 2020 Challenge: generalization across devices and low complexity solutions

Reference 58

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Unavailable: canonical work link unavailable.

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Observation d581cf99-df50-4068-955c-7e878c6a1f11 · outbound

This paper cites Comparison of parametric representations for monosyllabic word recognition in continuously spoken sentences,.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Comparison of parametric representations for monosyllabic word recognition in continuously spoken sentences,

Reference 59

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Observation f1ee9e6a-2e6e-4ecd-9834-e212dec349cf · outbound

This paper cites A two-stage approach to device-robust acoustic scene classification,.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer A two-stage approach to device-robust acoustic scene classification,

Reference 60

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation cbbcc743-936a-4b64-a047-a928de10661e · outbound

This paper cites A Lottery Ticket Hypothesis Framework for Low-Complexity Device-Robust Neural Acoustic Scene Classification.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer A Lottery Ticket Hypothesis Framework for Low-Complexity Device-Robust Neural Acoustic Scene Classification

Reference 61

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 5b2681aa-1c6d-4fd4-8cea-a4418a353b20 · outbound

This paper cites Low-complexity acoustic scene classification for multi-device audio: analysis of DCASE 2021 Challenge systems.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Low-complexity acoustic scene classification for multi-device audio: analysis of DCASE 2021 Challenge systems

Reference 62

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local_arxiv, observed 2026-08-10T14:18:44.796142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 7fc3ae29-a3ce-4ed6-88c9-0a67f9bfdfcb · outbound

This paper cites mixup: Beyond Empirical Risk Minimization.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer mixup: Beyond Empirical Risk Minimization

Reference 63

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 90ed51b8-2383-4dc1-a35a-3860a476e953 · outbound

This paper cites SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition

Reference 64

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Unavailable: canonical work link unavailable.

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Observation 078e9a74-a640-4401-ba88-77e769467294 · outbound

This paper cites Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition

Reference 65

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source=pdf_text observed=2026-08-10T14:18:44.573320Z digest=sha256:12c2836e3f6238165547c96786a319873f87901763e647124eea5e056db1ed9b

Observation 5cafa164-d172-479b-a9d6-04f838705b90 · outbound

This paper cites A neural attention model for speech command recognition.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer A neural attention model for speech command recognition

Reference 66

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Observation b0daa6a1-83c9-4bc7-9571-87712157e56f · outbound

This paper cites Decentralizing feature extraction with quantum convolutional neural network for automatic speech recognition,.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Decentralizing feature extraction with quantum convolutional neural network for automatic speech recognition,

Reference 67

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation c8642166-8453-4fcd-a5e5-c18dde1096fb · outbound

This paper cites Hello Edge: Keyword Spotting on Microcontrollers.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Hello Edge: Keyword Spotting on Microcontrollers

Reference 68

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7afc03da-e7fd-4a37-816f-75635407c281 · outbound

This paper cites Single-word speech recognition with convolutional neural networks on raw waveforms,.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Single-word speech recognition with convolutional neural networks on raw waveforms,

Reference 69

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation b461dcbc-a914-4d64-934d-64f10e4278df · outbound

This paper cites Neural Model Reprogramming with Similarity Based Mapping for Low-Resource Spoken Command Recognition,.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Neural Model Reprogramming with Similarity Based Mapping for Low-Resource Spoken Command Recognition,

Reference 70

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T14:18:44.599001Z digest=sha256:042b1ef35edab3c3bee87099dd32d2ae000cae6f018f09cb2498369d7ce64bc0

Observation 6e0fb905-9489-4035-b7e9-5799e901211c · outbound

This paper cites L-vector: Neural label embedding for domain adaptation,.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer L-vector: Neural label embedding for domain adaptation,

Reference 71

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raw_fallback, observed 2026-08-10T14:18:45.212740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T14:18:44.603752Z digest=sha256:754509f7be262301b9199e7c595410a4291da5be9176270e5340b6adfd9c6e63

Observation 0d93e0b3-5dad-41f2-99a7-20d4c31a29c8 · outbound

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

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Knowledge transfer via distillation of activation boundaries formed by hidden neurons,

Reference 72

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation c33b23c3-1496-4529-9e43-c7b6f10a19d3 · outbound

This paper cites Variational information distillation for knowledge transfer,.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Variational information distillation for knowledge transfer,

Reference 73

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raw_fallback, observed 2026-08-10T14:18:45.178635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 1f4e1954-5e48-4d31-b270-1fa6e8bfd938 · outbound

This paper cites A gift from knowledge distillation: Fast optimization, network minimization and transfer learning,.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer A gift from knowledge distillation: Fast optimization, network minimization and transfer learning,

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:18:45.160399Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation b4e770d5-1806-4bc3-a161-33bcc4c1e4e3 · outbound

This paper cites Similarity-preserving knowledge distillation,.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Similarity-preserving knowledge distillation,

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:18:45.142134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation d0d9130e-ab2f-4e12-83f9-005e3df9439b · outbound

This paper cites Learning deep representations with proba- bilistic knowledge transfer,.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Learning deep representations with proba- bilistic knowledge transfer,

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:18:45.124580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 311e150f-c3e2-4e33-941d-9ae422b7695e · outbound

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

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Like What You Like: Knowledge Distill via Neuron Selectivity Transfer

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-10T14:18:44.633536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7c37574b-af57-40d9-b47c-d6f4286e072d · outbound

This paper cites Visualizing data using t-sne.

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer Visualizing data using t-sne

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T14:18:45.108410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Pith citing papers

No inbound Pith citation observations are available.