Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition | Paper Citation Record

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This paper cites Rajendra Acharya, Vladimir Makarenkov, and Saeid Nahavandi.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Rajendra Acharya, Vladimir Makarenkov, and Saeid Nahavandi

Reference 1

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This paper cites Large scale distributed neural network training through online distillation.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Large scale distributed neural network training through online distillation

Reference 2

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This paper cites wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations

Reference 3

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This paper cites Recent advances in adversarial training for adversarial robustness.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Recent advances in adversarial training for adversarial robustness

Reference 4

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This paper cites Blei, Alp Kucukelbir, and Jon D.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Blei, Alp Kucukelbir, and Jon D

Reference 5

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This paper cites Aleatoric and epistemic uncertainty in machine learning: an introduction to concepts and methods.Machine Learning, 110(5):1309–1354, 2021.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Aleatoric and epistemic uncertainty in machine learning: an introduction to concepts and methods.Machine Learning, 110(5):1309–1354, 2021

Reference 6

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This paper cites Weight uncertainty in neural networks.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Weight uncertainty in neural networks

Reference 7

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This paper cites Curse of dimensionality in adversarial examples.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Curse of dimensionality in adversarial examples

Reference 8

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This paper cites Deeplearningensembleforhyperspectralimageclassification.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Deeplearningensembleforhyperspectralimageclassification

Reference 9

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This paper cites An inves- tigation into smartphone based weakly supervised activity recognition systems.Pervasive and Mobile Computing, 56:45–56, 2019.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition An inves- tigation into smartphone based weakly supervised activity recognition systems.Pervasive and Mobile Computing, 56:45–56, 2019

Reference 10

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This paper cites Lipton, Michael Tschannen, Laurent Itti, and Anima Anandkumar.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Lipton, Michael Tschannen, Laurent Itti, and Anima Anandkumar

Reference 11

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This paper cites Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference

Reference 12

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This paper cites Dropout as a bayesian approximation: Representing model uncertainty in deep learning.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Dropout as a bayesian approximation: Representing model uncertainty in deep learning

Reference 13

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This paper cites Sufficient conditions for robustness to adversarial examples: a theoretical and empirical study with bayesian neural networks, 2019.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Sufficient conditions for robustness to adversarial examples: a theoretical and empirical study with bayesian neural networks, 2019

Reference 14

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Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Unresolved cited work

Reference 15

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This paper cites Explaining and Harnessing Adversarial Examples.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Explaining and Harnessing Adversarial Examples

Reference 16

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This paper cites Maybank, and Dacheng Tao.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Maybank, and Dacheng Tao

Reference 17

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This paper cites Practical variational inference for neural networks.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Practical variational inference for neural networks

Reference 18

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This paper cites Hammerla, Shane Halloran, and Thomas Plötz.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Hammerla, Shane Halloran, and Thomas Plötz

Reference 19

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This paper cites Large language models memorize sensor datasets! implications on human activity recognition research, 2024.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Large language models memorize sensor datasets! implications on human activity recognition research, 2024

Reference 20

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This paper cites Using self-supervised learning can improve model robustness and uncer- tainty.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Using self-supervised learning can improve model robustness and uncer- tainty

Reference 21

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This paper cites Distilling the Knowledge in a Neural Network.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Distilling the Knowledge in a Neural Network

Reference 22

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This paper cites Detecting adversarial examples using data manifolds.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Detecting adversarial examples using data manifolds

Reference 23

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This paper cites HARGPT: Are LLMs zero-shot human activity recognizers?, 2024.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition HARGPT: Are LLMs zero-shot human activity recognizers?, 2024

Reference 24

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This paper cites Sampling- based self-supervised augmented contrast learning for movie recommen- dation systems.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Sampling- based self-supervised augmented contrast learning for movie recommen- dation systems

Reference 25

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This paper cites Evaluating uncertainty estimation methods on 3d semantic segmentation of point clouds, 2020.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Evaluating uncertainty estimation methods on 3d semantic segmentation of point clouds, 2020

Reference 26

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This paper cites Distributional actor-critic ensemble for uncertainty-aware continuous control.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Distributional actor-critic ensemble for uncertainty-aware continuous control

Reference 27

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This paper cites On the Geometry of Adversarial Examples.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition On the Geometry of Adversarial Examples

Reference 28

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This paper cites Large Language Models are Zero-Shot Reasoners.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Large Language Models are Zero-Shot Reasoners

Reference 29

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This paper cites Goodfellow, and Samy Bengio.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Goodfellow, and Samy Bengio

Reference 30

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This paper cites Towards unsuper- vised image captioning with shared multimodal embeddings.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Towards unsuper- vised image captioning with shared multimodal embeddings

Reference 31

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Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Sim- ple and scalable predictive uncertainty estimation using deep ensembles

Reference 32

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Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Safe end-to-end imitation learning for model predictive control

Reference 33

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This paper cites On Norm-Agnostic Robustness of Adversarial Training.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition On Norm-Agnostic Robustness of Adversarial Training

Reference 34

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Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Unresolved cited work

Reference 35

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This paper cites A general framework for ensemble distribution distillation.2020 IEEE 30th International Workshop on Machine Learning for Signal Processing (MLSP), pages 1–6, 2020.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition A general framework for ensemble distribution distillation.2020 IEEE 30th International Workshop on Machine Learning for Signal Processing (MLSP), pages 1–6, 2020

Reference 36

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This paper cites Clegg, Andrea Cavallaro, and Hamed Haddadi.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Clegg, Andrea Cavallaro, and Hamed Haddadi

Reference 37

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Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Predictive uncertainty estimation via prior networks

Reference 38

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This paper cites Ensemble Distribution Distillation.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Ensemble Distribution Distillation

Reference 39

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This paper cites Berkay Celik.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Berkay Celik

Reference 40

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This paper cites On the validity of bayesian neural networks for uncertainty estimation.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition On the validity of bayesian neural networks for uncertainty estimation

Reference 41

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This paper cites Deep convolu- tional feature transfer across mobile activity recognition domains, sensor modalities and locations.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Deep convolu- tional feature transfer across mobile activity recognition domains, sensor modalities and locations

Reference 42

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This paper cites Contextual Imagined Goals for Self-Supervised Robotic Learning.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Contextual Imagined Goals for Self-Supervised Robotic Learning

Reference 43

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Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Unresolved cited work

Reference 44

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This paper cites Sculley, Sebas- tian Nowozin, Joshua V.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Sculley, Sebas- tian Nowozin, Joshua V

Reference 45

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Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Crafting adversarial input sequences for recurrent neural networks

Reference 46

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This paper cites PAMAP2 Physical Activity Monitoring.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition PAMAP2 Physical Activity Monitoring

Reference 47

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This paper cites Multi-task self- supervised learning for human activity detection.Proc.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Multi-task self- supervised learning for human activity detection.Proc

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This paper cites A Comprehensive guide to Bayesian Convolutional Neural Network with Variational Inference.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition A Comprehensive guide to Bayesian Convolutional Neural Network with Variational Inference

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This paper cites Improving the generalization of adversarial training with domain adaptation, 2018.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Improving the generalization of adversarial training with domain adaptation, 2018

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Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Unresolved cited work

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This paper cites Smart devices are different: Assessing and mitigating mobile sensing heterogeneities for activity recognition.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Smart devices are different: Assessing and mitigating mobile sensing heterogeneities for activity recognition

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This paper cites Smartphone-based human activity pattern identification using unsupervised learning.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Smartphone-based human activity pattern identification using unsupervised learning

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Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Unresolved cited work

Reference 54

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Observation 5ac057a6-bbed-4bb4-8a70-3698b69d68ae · outbound

This paper cites Towards Model-Agnostic Adversarial Defenses using Adversarially Trained Autoencoders.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Towards Model-Agnostic Adversarial Defenses using Adversarially Trained Autoencoders

Reference 55

Resolution: verified exact; local_arxiv, observed 2026-08-04T21:06:13.636380Z

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

Observation 8e03816a-cb97-415c-a115-e621db784b61 · outbound

This paper cites Deep Sub-Ensembles for Fast Uncertainty Estimation in Image Classification.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Deep Sub-Ensembles for Fast Uncertainty Estimation in Image Classification

Reference 56

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Observation f91fb5e1-6306-4e83-9a04-f86a6cc4e5e3 · outbound

This paper cites Deep learning for sensor-based activity recognition: A survey.Pattern Recognition Letters, 119:3–11, 2019.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Deep learning for sensor-based activity recognition: A survey.Pattern Recognition Letters, 119:3–11, 2019

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:06:13.787848Z

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

Observation 44d09dc2-9182-4604-8b8c-9037c3b7ac74 · outbound

This paper cites Improving single-step adversarial training by local smoothing.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Improving single-step adversarial training by local smoothing

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:06:13.777405Z

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

Observation a0254a7e-8d1d-4c57-932e-7f0f52aa78be · outbound

This paper cites Deep convolutional neural networks on multi- channel time series for human activity recognition.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Deep convolutional neural networks on multi- channel time series for human activity recognition

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-04T21:06:13.766775Z

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Observation 61508a14-fe6e-48f0-8310-ae872cc634bb · outbound

This paper cites Strength-Adaptive Adversarial Training.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Strength-Adaptive Adversarial Training

Reference 60

Resolution: verified exact; local_arxiv, observed 2026-08-04T21:06:13.612020Z

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

Observation 9d0e7060-a6bd-4264-aa82-ff0d515a8387 · outbound

This paper cites an unresolved cited work.

Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition Unresolved cited work

Reference 2019

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Source-reported events for the cited work

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