Paper Citation Record · LEDGER

Energy-Aware Deep Learning on Resource-Constrained Hardware

As of 16 August 2026, this Paper Citation Record lists 100 of 184 outbound references and 2 inbound Pith citation observations for arXiv:2505.12523.

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

pith.paper-citation-record.v1
2505.12523 v1

Coverage vector

measured 100 of 184 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:35:09.082480Z

measured 102 of 102 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:07:39.492029Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T14:48:32.883207Z

Reference resolution

100 of 184 outbound references displayed

verified exact6
verified fuzzy0
unresolved94
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 49217c1a-e110-4d10-92c6-88b079d859bd · outbound

This paper cites an unresolved cited work.

Energy-Aware Deep Learning on Resource-Constrained Hardware Unresolved cited work

Reference 1

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Observation dd37ad6b-7b14-4f8e-b198-8f40fc861cc5 · outbound

This paper cites The Evolution of Out-of-Distribution Robustness Throughout Fine-Tuning.

Energy-Aware Deep Learning on Resource-Constrained Hardware The Evolution of Out-of-Distribution Robustness Throughout Fine-Tuning

Reference 2

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Observation 431d8e7b-d86c-408e-b09a-ecff8ae7d852 · outbound

This paper cites an unresolved cited work.

Energy-Aware Deep Learning on Resource-Constrained Hardware Unresolved cited work

Reference 3

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Observation 6b6c311f-a0ab-4d0d-92ef-d1a61169dffe · outbound

This paper cites an unresolved cited work.

Energy-Aware Deep Learning on Resource-Constrained Hardware Unresolved cited work

Reference 4

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Observation 0b821d8c-1963-476b-8183-7ffc171508a7 · outbound

This paper cites EC-NAS: Energy Consumption Aware Tabular Benchmarks for Neural Architecture Search.

Energy-Aware Deep Learning on Resource-Constrained Hardware EC-NAS: Energy Consumption Aware Tabular Benchmarks for Neural Architecture Search

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T20:35:08.716577Z

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Observation 80407f3c-0fb2-47fe-8127-4be96b5d2cb2 · outbound

This paper cites an unresolved cited work.

Energy-Aware Deep Learning on Resource-Constrained Hardware Unresolved cited work

Reference 6

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Observation 1aad3616-6430-4efc-ad7f-ab3d1cf64e86 · outbound

This paper cites Dynamically Sacrificing Accuracy for Reduced Computation: Cascaded Inference Based on Softmax Confidence.

Energy-Aware Deep Learning on Resource-Constrained Hardware Dynamically Sacrificing Accuracy for Reduced Computation: Cascaded Inference Based on Softmax Confidence

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T20:35:08.724413Z

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Observation f23be9c6-50ee-4ac3-9107-ae6bb6c12649 · outbound

This paper cites To update or not to update? Neurons at equilibrium in deep models.

Energy-Aware Deep Learning on Resource-Constrained Hardware To update or not to update? Neurons at equilibrium in deep models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T20:35:08.728288Z

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Observation f2ae8638-f149-4849-8890-b0cc286d43d3 · outbound

This paper cites an unresolved cited work.

Energy-Aware Deep Learning on Resource-Constrained Hardware Unresolved cited work

Reference 9

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Observation 4d133d19-f302-4a35-bc09-1318a62c2cc5 · outbound

This paper cites ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware.

Energy-Aware Deep Learning on Resource-Constrained Hardware ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T20:35:08.736389Z

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Observation 17ec2c84-d9a5-4088-ad7d-a006d53ee753 · outbound

This paper cites Training Deep Nets with Sublinear Memory Cost.

Energy-Aware Deep Learning on Resource-Constrained Hardware Training Deep Nets with Sublinear Memory Cost

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T20:35:08.740372Z

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Observation 5728e766-b8e7-4459-a00f-bc9dfeb6b08f · outbound

This paper cites EE-LLM: Large-Scale Training and Inference of Early-Exit Large Language Models with 3D Parallelism.

Energy-Aware Deep Learning on Resource-Constrained Hardware EE-LLM: Large-Scale Training and Inference of Early-Exit Large Language Models with 3D Parallelism

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T20:35:08.744234Z

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Observation 5e27b738-2d3d-4bf1-abae-653fb5093ee4 · outbound

This paper cites an unresolved cited work.

Energy-Aware Deep Learning on Resource-Constrained Hardware Unresolved cited work

Reference 13

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Observation 68b75943-730b-4c5d-88d7-168e2171a7d2 · outbound

This paper cites an unresolved cited work.

Energy-Aware Deep Learning on Resource-Constrained Hardware Unresolved cited work

Reference 14

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Observation 6c2ed2e5-ffb1-43e8-b19c-13da0f4d0d01 · outbound

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Energy-Aware Deep Learning on Resource-Constrained Hardware Unresolved cited work

Reference 15

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Observation b6013ed7-5ba6-4e51-ae45-e73fe89eab19 · outbound

This paper cites an unresolved cited work.

Energy-Aware Deep Learning on Resource-Constrained Hardware Unresolved cited work

Reference 16

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Observation a400868f-2edd-4c9d-93f7-ab028a3899a8 · outbound

This paper cites an unresolved cited work.

Energy-Aware Deep Learning on Resource-Constrained Hardware Unresolved cited work

Reference 17

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Observation 5e23b171-187c-43a5-8ef6-e57662014306 · outbound

This paper cites an unresolved cited work.

Energy-Aware Deep Learning on Resource-Constrained Hardware Unresolved cited work

Reference 18

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Observation 1c4b7e22-1ce1-46e2-852b-b260098c8fc5 · outbound

This paper cites an unresolved cited work.

Energy-Aware Deep Learning on Resource-Constrained Hardware Unresolved cited work

Reference 19

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Observation 84b86ee5-3b63-459a-846f-679bf723d1d3 · outbound

This paper cites an unresolved cited work.

Energy-Aware Deep Learning on Resource-Constrained Hardware Unresolved cited work

Reference 20

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Observation 9601772e-8c14-4122-9925-a68a6ee65871 · outbound

This paper cites an unresolved cited work.

Energy-Aware Deep Learning on Resource-Constrained Hardware Unresolved cited work

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T20:35:08.774315Z

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Observation e4ccbb57-ada8-4175-b719-34bb5c3f076d · outbound

This paper cites NAS-Bench-201: Extending the Scope of Reproducible Neural Architecture Search.

Energy-Aware Deep Learning on Resource-Constrained Hardware NAS-Bench-201: Extending the Scope of Reproducible Neural Architecture Search

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T20:35:08.777789Z

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Observation 054fda3e-5a49-435f-9200-c937c259d80d · outbound

This paper cites Learning to Learn with Variational Information Bottleneck for Domain Generalization.

Energy-Aware Deep Learning on Resource-Constrained Hardware Learning to Learn with Variational Information Bottleneck for Domain Generalization

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T20:35:08.781350Z

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Observation 04fcdb55-07f6-4df8-b8fb-829248a421e5 · outbound

This paper cites I (Still) Can’t Believe It’s Not Better!.

Energy-Aware Deep Learning on Resource-Constrained Hardware I (Still) Can’t Believe It’s Not Better!

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T20:35:08.786679Z

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Observation 0a7b854a-8349-4649-bb1b-c0f95aeae076 · outbound

This paper cites JointDNN: An Efficient Training and Inference Engine for Intelligent Mobile Cloud Computing Services.

Energy-Aware Deep Learning on Resource-Constrained Hardware JointDNN: An Efficient Training and Inference Engine for Intelligent Mobile Cloud Computing Services

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T20:35:08.790183Z

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Observation 494767e3-435a-4f96-a9bc-9514f2b87080 · outbound

This paper cites an unresolved cited work.

Energy-Aware Deep Learning on Resource-Constrained Hardware Unresolved cited work

Reference 26

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Observation 96794999-c96c-4c22-995f-1c635ad5ae6d · outbound

This paper cites an unresolved cited work.

Energy-Aware Deep Learning on Resource-Constrained Hardware Unresolved cited work

Reference 27

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Observation 3a742d69-69c8-48bd-b804-f5530b64f180 · outbound

This paper cites Spatially Adaptive Computation Time for Residual Networks.

Energy-Aware Deep Learning on Resource-Constrained Hardware Spatially Adaptive Computation Time for Residual Networks

Reference 28

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Observation 46f181ba-7865-4fc4-93f9-6d219ac2d1ca · outbound

This paper cites an unresolved cited work.

Energy-Aware Deep Learning on Resource-Constrained Hardware Unresolved cited work

Reference 29

Resolution: verified exact; doi, observed 2026-08-15T20:35:09.577967Z

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Observation f43a4493-78b9-4490-9534-11eb872c6a44 · outbound

This paper cites Dynamic Channel Pruning: Feature Boosting and Suppression.

Energy-Aware Deep Learning on Resource-Constrained Hardware Dynamic Channel Pruning: Feature Boosting and Suppression

Reference 30

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Observation 023272bf-d3ae-4923-82d7-d1c17e7568e2 · outbound

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Energy-Aware Deep Learning on Resource-Constrained Hardware Unresolved cited work

Reference 31

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Observation 7892bf9f-8b88-4ca1-b7af-fec62c4432f2 · outbound

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Energy-Aware Deep Learning on Resource-Constrained Hardware Unresolved cited work

Reference 32

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Observation d13334e7-c155-48fc-9d0e-2b1e6220b3e2 · outbound

This paper cites Intelligence Beyond the Edge: Inference on Intermittent Embedded Systems.

Energy-Aware Deep Learning on Resource-Constrained Hardware Intelligence Beyond the Edge: Inference on Intermittent Embedded Systems

Reference 33

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Observation 52402d97-2bef-4578-9a2e-cc04bc64fc8d · outbound

This paper cites an unresolved cited work.

Energy-Aware Deep Learning on Resource-Constrained Hardware Unresolved cited work

Reference 34

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Observation f23a5c6c-cd12-4817-888e-2531527ade60 · outbound

This paper cites Sustainable Federated Learning.

Energy-Aware Deep Learning on Resource-Constrained Hardware Sustainable Federated Learning

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-15T20:35:08.826927Z

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Observation 23a25206-6f89-4ced-b9f3-9d428c7a63d3 · outbound

This paper cites SpotTune: Transfer Learning through Adaptive Fine-tuning.

Energy-Aware Deep Learning on Resource-Constrained Hardware SpotTune: Transfer Learning through Adaptive Fine-tuning

Reference 36

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Observation faa09047-d112-4554-a42f-8eddec15ca7c · outbound

This paper cites Adaptive Gradient Sparsification for Efficient Federated Learning: An Online Learning Approach.

Energy-Aware Deep Learning on Resource-Constrained Hardware Adaptive Gradient Sparsification for Efficient Federated Learning: An Online Learning Approach

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-15T20:35:08.835043Z

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Observation 6f6cc64c-28af-4f46-8b19-1172ddb840f2 · outbound

This paper cites Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding.

Energy-Aware Deep Learning on Resource-Constrained Hardware Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-15T20:35:08.842474Z

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Observation 22dc8a81-f66e-44e0-8d03-877a170c93c7 · outbound

This paper cites Learning both Weights and Connections for Efficient Neural Networks.

Energy-Aware Deep Learning on Resource-Constrained Hardware Learning both Weights and Connections for Efficient Neural Networks

Reference 40

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Observation bf33f073-674b-44d7-b749-1ca5da01d7b0 · outbound

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Energy-Aware Deep Learning on Resource-Constrained Hardware Unresolved cited work

Reference 41

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Observation 213d037a-2706-49c5-a581-7a113f829ff8 · outbound

This paper cites Deep Residual Learning for Image Recognition.

Energy-Aware Deep Learning on Resource-Constrained Hardware Deep Residual Learning for Image Recognition

Reference 43

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Energy-Aware Deep Learning on Resource-Constrained Hardware Unresolved cited work

Reference 44

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Observation 6c6749d1-4910-453b-ba63-d309c9bbced6 · outbound

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Energy-Aware Deep Learning on Resource-Constrained Hardware Unresolved cited work

Reference 45

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Observation f3e401f6-5256-4ab5-8bf2-4d017e1394b3 · outbound

This paper cites MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications.

Energy-Aware Deep Learning on Resource-Constrained Hardware MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Reference 46

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Observation 022abf74-2d51-40b0-961b-f762491c0a98 · outbound

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Energy-Aware Deep Learning on Resource-Constrained Hardware Unresolved cited work

Reference 47

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Observation 0549d497-ae75-4f69-b46e-9cc9c4783dd2 · outbound

This paper cites Channel Gating Neural Networks.

Energy-Aware Deep Learning on Resource-Constrained Hardware Channel Gating Neural Networks

Reference 48

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Observation e4488b9d-5335-45e2-8af5-d099310a6169 · outbound

This paper cites Multi-Scale Dense Networks for Resource Efficient Image Classification.

Energy-Aware Deep Learning on Resource-Constrained Hardware Multi-Scale Dense Networks for Resource Efficient Image Classification

Reference 50

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Observation 774db9d0-432d-4a80-b94f-94ebd4cd09d3 · outbound

This paper cites SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size.

Energy-Aware Deep Learning on Resource-Constrained Hardware SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size

Reference 51

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Observation 826f8621-6cb3-453b-8f97-ca8fdfa22c09 · outbound

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Energy-Aware Deep Learning on Resource-Constrained Hardware Unresolved cited work

Reference 52

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Observation 353c086e-02e5-48fd-b2f8-4d26cdce063c · outbound

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Energy-Aware Deep Learning on Resource-Constrained Hardware Unresolved cited work

Reference 54

Resolution: verified exact; doi, observed 2026-08-15T20:35:09.550321Z

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Observation c97d093b-b817-464a-abdc-7cf3f9a2763a · outbound

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Energy-Aware Deep Learning on Resource-Constrained Hardware Unresolved cited work

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Observation 2a1a0dbb-2376-4a08-9fd1-41f09da8e5e2 · outbound

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Energy-Aware Deep Learning on Resource-Constrained Hardware Unresolved cited work

Reference 57

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Observation 86d89728-21f9-47fe-bebc-59d657eb1d27 · outbound

This paper cites To Trust Or Not To Trust A Classifier.

Energy-Aware Deep Learning on Resource-Constrained Hardware To Trust Or Not To Trust A Classifier

Reference 58

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Observation 8445b5c5-608d-404e-ac19-ec6cdfb11f8d · outbound

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Energy-Aware Deep Learning on Resource-Constrained Hardware Unresolved cited work

Reference 59

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Observation 7ce95db8-872e-4fc5-9835-7c13392768b5 · outbound

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Energy-Aware Deep Learning on Resource-Constrained Hardware Unresolved cited work

Reference 60

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Observation a3812dad-3510-4dba-970b-390683cc8cae · outbound

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Energy-Aware Deep Learning on Resource-Constrained Hardware Unresolved cited work

Reference 61

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Observation 0e9b0e74-df8b-46f3-9ec8-beffa8ce7846 · outbound

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Energy-Aware Deep Learning on Resource-Constrained Hardware Unresolved cited work

Reference 62

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Observation e2ae8271-962e-4dd9-9d41-a053837c99e8 · outbound

This paper cites Shallow-Deep Networks: Understanding and Mitigating Network Overthinking.

Energy-Aware Deep Learning on Resource-Constrained Hardware Shallow-Deep Networks: Understanding and Mitigating Network Overthinking

Reference 63

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Observation b56872aa-4b31-4f4f-a3e9-72d97513724f · outbound

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Energy-Aware Deep Learning on Resource-Constrained Hardware Unresolved cited work

Reference 64

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Observation 8ef1ff18-5a57-473b-8716-c4f434b5b9c2 · outbound

This paper cites Kulkarni, and Tony Tae-Hyoung Kim.

Energy-Aware Deep Learning on Resource-Constrained Hardware Kulkarni, and Tony Tae-Hyoung Kim

Reference 65

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Observation a71e2f71-fbd2-4cb3-8097-a8f54c0b0e45 · outbound

This paper cites Overcoming catastrophic forgetting in neural networks.

Energy-Aware Deep Learning on Resource-Constrained Hardware Overcoming catastrophic forgetting in neural networks

Reference 66

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Energy-Aware Deep Learning on Resource-Constrained Hardware Quantizing deep convolutional networks for efficient inference: A whitepaper

Reference 67

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Energy-Aware Deep Learning on Resource-Constrained Hardware Unresolved cited work

Reference 68

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Energy-Aware Deep Learning on Resource-Constrained Hardware Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution

Reference 69

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Energy-Aware Deep Learning on Resource-Constrained Hardware LifeLearner: Hardware-Aware Meta Continual Learning System for Embedded Computing Platforms

Reference 70

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Energy-Aware Deep Learning on Resource-Constrained Hardware TinyTrain: Resource-Aware Task-Adaptive Sparse Training of DNNs at the Data-Scarce Edge

Reference 71

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Reference 72

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Energy-Aware Deep Learning on Resource-Constrained Hardware HAPI: Hardware-Aware Progressive Inference

Reference 73

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Energy-Aware Deep Learning on Resource-Constrained Hardware What Would Elsa Do? Freezing Layers During Transformer Fine-Tuning

Reference 74

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Reference 75

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Energy-Aware Deep Learning on Resource-Constrained Hardware Surgical Fine-Tuning Improves Adaptation to Distribution Shifts

Reference 76

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Energy-Aware Deep Learning on Resource-Constrained Hardware It's always personal: Using Early Exits for Efficient On-Device CNN Personalisation

Reference 77

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Energy-Aware Deep Learning on Resource-Constrained Hardware HW-NAS-Bench:Hardware-Aware Neural Architecture Search Benchmark

Reference 78

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Energy-Aware Deep Learning on Resource-Constrained Hardware Learning to Generalize: Meta-Learning for Domain Generalization

Reference 79

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Energy-Aware Deep Learning on Resource-Constrained Hardware On the Convergence of FedAvg on Non-IID Data

Reference 80

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Energy-Aware Deep Learning on Resource-Constrained Hardware Predictive Exit: Prediction of Fine-Grained Early Exits for Computation- and Energy-Efficient Inference

Reference 81

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Energy-Aware Deep Learning on Resource-Constrained Hardware $\mu$NAS: Constrained Neural Architecture Search for Microcontrollers

Reference 82

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Energy-Aware Deep Learning on Resource-Constrained Hardware MCUNet: Tiny Deep Learning on IoT Devices

Reference 83

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Energy-Aware Deep Learning on Resource-Constrained Hardware Unresolved cited work

Reference 84

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Energy-Aware Deep Learning on Resource-Constrained Hardware On-Device Training Under 256KB Memory

Reference 85

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Energy-Aware Deep Learning on Resource-Constrained Hardware Splitting Steepest Descent for Growing Neural Architectures

Reference 86

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Energy-Aware Deep Learning on Resource-Constrained Hardware Unresolved cited work

Reference 87

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Energy-Aware Deep Learning on Resource-Constrained Hardware DYNAMITE: Dynamic Interplay of Mini-Batch Size and Aggregation Frequency for Federated Learning with Static and Streaming Dataset

Reference 88

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Energy-Aware Deep Learning on Resource-Constrained Hardware AutoFreeze: Automatically Freezing Model Blocks to Accelerate Fine-tuning

Reference 89

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Energy-Aware Deep Learning on Resource-Constrained Hardware A Survey on Evolutionary Neural Architecture Search

Reference 90

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Energy-Aware Deep Learning on Resource-Constrained Hardware Cost-Effective Federated Learning Design

Reference 91

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Energy-Aware Deep Learning on Resource-Constrained Hardware Unresolved cited work

Reference 92

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Energy-Aware Deep Learning on Resource-Constrained Hardware Unresolved cited work

Reference 93

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Energy-Aware Deep Learning on Resource-Constrained Hardware ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design

Reference 94

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Energy-Aware Deep Learning on Resource-Constrained Hardware Domain Generalization using Causal Matching

Reference 95

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Energy-Aware Deep Learning on Resource-Constrained Hardware Unresolved cited work

Reference 96

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Energy-Aware Deep Learning on Resource-Constrained Hardware Domain Generalization via Gradient Surgery

Reference 97

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Energy-Aware Deep Learning on Resource-Constrained Hardware NASCaps: A Framework for Neural Architecture Search to Optimize the Accuracy and Hardware Efficiency of Convolutional Capsule Networks

Reference 98

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Energy-Aware Deep Learning on Resource-Constrained Hardware Communication-Efficient Learning of Deep Networks from Decentralized Data

Reference 99

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Energy-Aware Deep Learning on Resource-Constrained Hardware AdaViT: Adaptive Vision Transformers for Efficient Image Recognition

Reference 100

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Energy-Aware Deep Learning on Resource-Constrained Hardware Domain Generalization Guided by Gradient Signal to Noise Ratio of Parameters

Reference 101

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Energy-Aware Deep Learning on Resource-Constrained Hardware Unresolved cited work

Reference 102

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Energy-Aware Deep Learning on Resource-Constrained Hardware The cost of everything and the value of nothing

Reference 103

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Energy-Aware Deep Learning on Resource-Constrained Hardware Unresolved cited work

Reference 104

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Pith citing papers

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FOGNITE: Federated Learning-Enhanced Fog-Cloud Architecture cites this paper.

FOGNITE: Federated Learning-Enhanced Fog-Cloud Architecture Energy-Aware Deep Learning on Resource-Constrained Hardware

Reference 19

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Quantum Reservoir Computing for Short-Term Power Load Forecasting in Resource-Constrained Energy Systems cites this paper.

Quantum Reservoir Computing for Short-Term Power Load Forecasting in Resource-Constrained Energy Systems Energy-Aware Deep Learning on Resource-Constrained Hardware

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