FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking | Paper Citation Record

Observation 14de74d0-d8aa-4cff-88f8-b8eaffeb1d59 · outbound

This paper cites Going deeper with convolutions,.

FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking Going deeper with convolutions,

Reference 1

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Observation 74085244-09ce-483b-8115-f686e5bb4634 · outbound

This paper cites A structure constraint matrix factorization framework for human behavior segmentation,.

FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking A structure constraint matrix factorization framework for human behavior segmentation,

Reference 2

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Observation c643bfa7-51ac-44c4-bb1c-6667d7ff3b97 · outbound

This paper cites BERT: pre- training of deep bidirectional transformers for language understanding,.

FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking BERT: pre- training of deep bidirectional transformers for language understanding,

Reference 3

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Observation e59135f1-58da-41ab-b788-d401977cd66a · outbound

This paper cites A survey of the usages of deep learning for natural language processing,.

FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking A survey of the usages of deep learning for natural language processing,

Reference 4

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Observation 56787d1a-5b17-4ffa-b01d-b8a4544c3117 · outbound

This paper cites Optimal Control Via Neural Networks: A Convex Approach.

FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking Optimal Control Via Neural Networks: A Convex Approach

Reference 5

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Observation 19a9af91-051d-4c57-84db-6b2ea5c5f098 · outbound

This paper cites Hierarchical deep reinforcement learning for continuous action control,.

FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking Hierarchical deep reinforcement learning for continuous action control,

Reference 6

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Observation 4278457e-9764-4f4a-8417-7393595ab49d · outbound

This paper cites LSTM-MSNet: Lever- aging forecasts on sets of related time series with multiple seasonal patterns,.

FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking LSTM-MSNet: Lever- aging forecasts on sets of related time series with multiple seasonal patterns,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:27:53.783148Z

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Observation a9c76ed7-f116-4567-aba9-849b39f62879 · outbound

This paper cites Object classification using CNN-based fusion of vision and lidar in autonomous vehicle environment,.

FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking Object classification using CNN-based fusion of vision and lidar in autonomous vehicle environment,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:27:53.769345Z

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Observation 94c020a9-3cf3-4281-b460-378083dac082 · outbound

This paper cites An interacting multiple model for trajectory prediction of intelligent vehicles in typical road traffic scenario,.

FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking An interacting multiple model for trajectory prediction of intelligent vehicles in typical road traffic scenario,

Reference 9

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Observation 3fdd0a26-7cba-4ef4-8d0b-53512caa626c · outbound

This paper cites Trajectory prediction of cyclist based on dynamic bayesian network and long short-term memory model at unsignalized intersections,.

FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking Trajectory prediction of cyclist based on dynamic bayesian network and long short-term memory model at unsignalized intersections,

Reference 10

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Observation 48613e14-7f99-4fa7-91b4-e4c617b0504e · outbound

This paper cites Long short-term memory,.

FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking Long short-term memory,

Reference 11

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Observation 2358423d-dc72-400c-8d70-bc7922e797dc · outbound

This paper cites Motif discoveries in unaligned molecular sequences using self-organizing neural networks,.

FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking Motif discoveries in unaligned molecular sequences using self-organizing neural networks,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:27:53.717987Z

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Observation ef56554b-5880-4bd3-a7e7-9d8e3ed03dd6 · outbound

This paper cites Deep neural network for structural prediction and lane detection in traffic scene,.

FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking Deep neural network for structural prediction and lane detection in traffic scene,

Reference 13

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Observation cc6c5d76-468c-48d3-abc6-00969a8a9365 · outbound

This paper cites Xception: Deep learning with depthwise separable convolu- tions,.

FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking Xception: Deep learning with depthwise separable convolu- tions,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:27:53.690294Z

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Observation adbaf018-d229-4048-a4c8-fdc08ae998ed · outbound

This paper cites Multi-scale context aggregation by dilated convolutions,.

FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking Multi-scale context aggregation by dilated convolutions,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:27:53.676446Z

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Observation 7f98aae7-3856-4f84-bd01-c7d089fa5fcd · outbound

This paper cites AutoML: A survey of the state-of-the-art,.

FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking AutoML: A survey of the state-of-the-art,

Reference 16

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Observation 54e04b61-3d5e-4469-a564-8d2a7db45710 · outbound

This paper cites Designing network design spaces,.

FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking Designing network design spaces,

Reference 17

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Observation 946bdd78-05ae-4746-bef9-fc9c248b2a2f · outbound

This paper cites DARTS: Differentiable architecture search,.

FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking DARTS: Differentiable architecture search,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:27:53.635855Z

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Observation dc9583cb-4aae-4917-b054-3ffc2a2880b7 · outbound

This paper cites Learning transferable architectures for scalable image recognition,.

FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking Learning transferable architectures for scalable image recognition,

Reference 19

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Observation 928efe8a-9162-4f95-8410-34d0c53d9956 · outbound

This paper cites Designing neural network architectures using reinforcement learning,.

FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking Designing neural network architectures using reinforcement learning,

Reference 20

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Observation 98f69024-e4dc-4638-8b63-e28dfd3a22e9 · outbound

This paper cites Efficient neural srchitecture search via parameter sharing,.

FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking Efficient neural srchitecture search via parameter sharing,

Reference 21

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Observation 611b4d2d-3234-455c-9ba7-ce130db198f0 · outbound

This paper cites Hierarchical representations for efficient architecture search,.

FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking Hierarchical representations for efficient architecture search,

Reference 22

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Observation 68ba0ac9-a3b4-48e1-9aba-f5f2b96bf11a · outbound

This paper cites Neural architecture optimization,.

FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking Neural architecture optimization,

Reference 24

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Observation 8ac88f5c-72c8-4dc5-8ed6-e5bded1ce3d3 · outbound

This paper cites Does unsupervised architecture representation learning help neural architecture search?.

FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking Does unsupervised architecture representation learning help neural architecture search?

Reference 25

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Observation 64092ebb-ace5-4a7a-8ba2-e86613dfadf8 · outbound

This paper cites D-V AE: A variational autoencoder for directed acyclic graphs,.

FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking D-V AE: A variational autoencoder for directed acyclic graphs,

Reference 26

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Observation 18c43c95-08af-4789-a8fc-b148c14ea2b5 · outbound

This paper cites CR-LSO: Convex Neural Architecture Optimization in the Latent Space of Graph Variational Autoencoder with Input Convex Neural Networks.

FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking CR-LSO: Convex Neural Architecture Optimization in the Latent Space of Graph Variational Autoencoder with Input Convex Neural Networks

Reference 27

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Observation ae9e509c-6e0d-47d3-b8cf-ff082d0742c8 · outbound

This paper cites SNAS: stochastic neural architecture search,.

FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking SNAS: stochastic neural architecture search,

Reference 28

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Observation 0ec3a1a8-9417-4ce7-a7a3-941f9e44151e · outbound

This paper cites Progressive DARTS: Bridging the optimization gap for NAS in the wild,.

FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking Progressive DARTS: Bridging the optimization gap for NAS in the wild,

Reference 29

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Observation 9ce8762c-1b2a-4392-809f-f1c1a0166d4c · outbound

This paper cites GOLD-NAS: Gradual, One-Level, Differentiable.

FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking GOLD-NAS: Gradual, One-Level, Differentiable

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-08-16T10:27:52.966201Z

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Observation 8a4775b8-c8bf-4b19-832c-ac4642442f77 · outbound

This paper cites Discretization-aware architecture search,.

FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking Discretization-aware architecture search,

Reference 31

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Observation 6350ae0a-a59a-47b6-83ee-8446d742e95d · outbound

This paper cites KL-DNAS: Knowl- edge distillation-based latency aware-differentiable architecture search for video motion magnification,.

FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking KL-DNAS: Knowl- edge distillation-based latency aware-differentiable architecture search for video motion magnification,

Reference 32

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Observation 9b528206-78c2-4a5c-adb5-fb4fd03802a0 · outbound

This paper cites An architecture entropy regularizer for differentiable neural architecture search,.

FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking An architecture entropy regularizer for differentiable neural architecture search,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:27:53.469536Z

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Observation af7f6b4d-c33a-4b02-be14-d9751fa19288 · outbound

This paper cites Improved differentiable architecture search with multi-stage progressive partial channel connections,.

FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking Improved differentiable architecture search with multi-stage progressive partial channel connections,

Reference 34

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Observation 7c890a02-aa3a-4ba2-9f6f-2f4c5ba47b5d · outbound

This paper cites MNGNAS: distilling adaptive combination of multiple searched networks for one- shot neural architecture search,.

FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking MNGNAS: distilling adaptive combination of multiple searched networks for one- shot neural architecture search,

Reference 35

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Observation 1a7634ef-f8d1-4764-8909-b113b040fb09 · outbound

This paper cites Exploiting operation importance for differentiable neural architecture search,.

FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking Exploiting operation importance for differentiable neural architecture search,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:27:53.428823Z

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Observation 9c7c1889-341c-4d4e-8d1b-130cc4a9e521 · outbound

This paper cites Fair DARTS: Eliminating unfair advantages in differentiable architecture search,.

FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking Fair DARTS: Eliminating unfair advantages in differentiable architecture search,

Reference 37

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Observation 52d8847f-59ef-448a-a285-60a9ac072781 · outbound

This paper cites Darts-: Robustly stepping out of performance collapse without indicators,.

FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking Darts-: Robustly stepping out of performance collapse without indicators,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:27:53.401384Z

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Observation 26af3320-bb94-4476-9eca-681fcc2c34bd · outbound

This paper cites Noisy differentiable architecture search,.

FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking Noisy differentiable architecture search,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:27:53.387929Z

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Observation 32f7c2a7-82ca-445f-bf74-29d7cefbe8df · outbound

This paper cites Random search and reproducibility for neural architecture search,.

FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking Random search and reproducibility for neural architecture search,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:27:53.374633Z

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Observation 06ec9f16-f168-479c-8ac6-4fd2b7138ceb · outbound

This paper cites NAS evaluation is frustratingly hard,.

FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking NAS evaluation is frustratingly hard,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:27:53.360884Z

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Observation c0022af6-0f76-41b9-a28a-38f810866a8e · outbound

This paper cites Single-path NAS: Designing hardware- efficient convnets in less than 4 hours,.

FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking Single-path NAS: Designing hardware- efficient convnets in less than 4 hours,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:27:53.347004Z

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Observation cddefee6-2a3f-41bf-919c-000a53d2a681 · outbound

This paper cites ProxylessNAS: Direct neural architecture search on target task and hardware,.

FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking ProxylessNAS: Direct neural architecture search on target task and hardware,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:27:53.333571Z

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Observation f960ef9b-c98d-4825-a148-9943d85bdcee · outbound

This paper cites K- shot NAS: Learnable weight-sharing for nas with k-shot supernets,.

FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking K- shot NAS: Learnable weight-sharing for nas with k-shot supernets,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:27:53.319879Z

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Observation a8b4d064-5bc5-478d-a434-32c8dab0e759 · outbound

This paper cites Deep residual learning for image recognition,.

FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking Deep residual learning for image recognition,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:27:53.306018Z

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Observation f2d85af6-6b1e-4495-b237-79634b4ab976 · outbound

This paper cites ShuffleNet: An extremely efficient convolutional neural network for mobile devices,.

FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking ShuffleNet: An extremely efficient convolutional neural network for mobile devices,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:27:53.292444Z

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Observation 35e240ea-2d71-4a4c-974e-c01281426fb5 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale,.

FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking An image is worth 16x16 words: Transformers for image recognition at scale,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:27:53.278683Z

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Observation 2a1e778e-83bb-443d-aef1-9de6611266d8 · outbound

This paper cites Operation and topology aware fast differentiable architecture search,.

FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking Operation and topology aware fast differentiable architecture search,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:27:53.264091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 90135572-87c0-4cd7-9a78-b416f177d1c5 · outbound

This paper cites DOTS: decoupling operation and topology in differentiable architecture search,.

FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking DOTS: decoupling operation and topology in differentiable architecture search,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:27:53.250498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a3bb0199-5661-4b16-83a9-9866925f31ea · outbound

This paper cites Evolving connec- tions in group of neurons for robust learning,.

FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking Evolving connec- tions in group of neurons for robust learning,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:27:53.236479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1df9263d-a2e7-4d26-ad17-d9a1e3a725e8 · outbound

This paper cites Exploring randomly wired neural networks for image recognition,.

FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking Exploring randomly wired neural networks for image recognition,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:27:53.222699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 39f0770f-5db3-4e90-8662-6ced48886439 · outbound

This paper cites DNAD: Differentiable neural architecture distillation,.

FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking DNAD: Differentiable neural architecture distillation,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:27:53.209164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 34dcd9eb-c523-4455-a277-a301e582e0a9 · outbound

This paper cites Partially-connected neural architecture search for reduced computational redundancy,.

FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking Partially-connected neural architecture search for reduced computational redundancy,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:27:53.194258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b1662f85-752d-45ad-a861-d1323e634aca · outbound

This paper cites Relativenas: Relative neural architecture search via slow-fast learning,.

FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking Relativenas: Relative neural architecture search via slow-fast learning,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:27:53.179525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 20648bf9-f561-4a2c-bb5b-b96bb66508ad · outbound

This paper cites XNAS: Neural architecture search with expert advice,.

FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking XNAS: Neural architecture search with expert advice,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:27:53.164207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3119d05d-5947-4f63-9f38-29ab2f847508 · outbound

This paper cites β-darts: Beta-decay regularization for differentiable architecture search,.

FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking β-darts: Beta-decay regularization for differentiable architecture search,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:27:53.149644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation cdae51c8-45d8-40c4-868d-80a8a90ff00c · outbound

This paper cites Cyclic differentiable architecture search,.

FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking Cyclic differentiable architecture search,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:27:53.135798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6bd52fa3-2ce9-4921-b4de-f5807c60a0d9 · outbound

This paper cites Regularized evolution for image classifier architecture search,.

FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking Regularized evolution for image classifier architecture search,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:27:53.565862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3909ee29-9a13-4cae-92d5-6d7dabd41e5b · outbound

This paper cites ShuffleNet V2: Practical guidelines for efficient CNN architecture design,.

FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking ShuffleNet V2: Practical guidelines for efficient CNN architecture design,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:27:53.121089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e0f357b0-4a18-4ec5-b231-e98a32300dff · outbound

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

FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-16T10:27:52.659871Z

Source-reported events for the cited work

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Observation a2e854d2-fe6c-4f29-aa0c-0af2505426a5 · outbound

This paper cites Mo- bileNetV2: Inverted residuals and linear bottlenecks,.

FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking Mo- bileNetV2: Inverted residuals and linear bottlenecks,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:27:53.106883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 21fcda9a-d1e5-4a84-8bbb-8006cf909c96 · outbound

This paper cites Searching for a robust neural architecture in four gpu hours,.

FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking Searching for a robust neural architecture in four gpu hours,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:27:53.091285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bd010c99-9809-40a3-9663-9320d524fda4 · outbound

This paper cites ℓ-darts: Light- weight differentiable architecture search with robustness enhancement strategy,.

FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking ℓ-darts: Light- weight differentiable architecture search with robustness enhancement strategy,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:27:53.075219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 125a14c5-810b-42c7-b6a5-160a2320bc65 · outbound

This paper cites Self-adaptive weight based on dual- attention for differentiable neural architecture search,.

FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking Self-adaptive weight based on dual- attention for differentiable neural architecture search,

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-16T10:27:52.679367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc1c3387-8062-4414-959f-cfe8c6912356 · outbound

This paper cites STO-DARTS: Stochastic bilevel optimization for differentiable neural architecture search,.

FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking STO-DARTS: Stochastic bilevel optimization for differentiable neural architecture search,

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-16T10:27:52.683505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed8e19d7-3ad7-4826-85f5-9e09bda732b2 · outbound

This paper cites SaDENAS: A self-adaptive differential evolution algorithm for neural architecture search,.

FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking SaDENAS: A self-adaptive differential evolution algorithm for neural architecture search,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:27:53.060211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 75f7cc3b-dee7-4f24-bec8-260fca09e810 · outbound

This paper cites EG-NAS: Neural architecture search with fast evolutionary exploration,.

FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking EG-NAS: Neural architecture search with fast evolutionary exploration,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:27:53.045608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d0104500-19ff-424a-aa5c-f0bd1b66a38a · outbound

This paper cites Operation-level early stopping for robustifying differentiable NAS,.

FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking Operation-level early stopping for robustifying differentiable NAS,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:27:53.030808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ec34b908-d84d-46c4-8305-3983e716a263 · outbound

This paper cites DARTS-PT-CORE: Collaborative and regularized perturbation-based architecture selection for differentiable nas,.

FX-DARTS: Designing Topology-unconstrained Architectures with Differentiable Architecture Search and Entropy-based Super-network Shrinking DARTS-PT-CORE: Collaborative and regularized perturbation-based architecture selection for differentiable nas,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:27:53.016634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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