Compact Vision Transformer by Reduction of Kernel Complexity | Paper Citation Record

Observation 142a132a-6aff-46da-a77b-6ecd42098881 · outbound

This paper cites write newline.

Compact Vision Transformer by Reduction of Kernel Complexity write newline

Reference 1

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Observation 6ac69ea9-e55e-44e7-abcd-c7ed9103f7d5 · outbound

This paper cites Du, Wei Hu, Zhiyuan Li, and Ruosong Wang.

Compact Vision Transformer by Reduction of Kernel Complexity Du, Wei Hu, Zhiyuan Li, and Ruosong Wang

Reference 2

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This paper cites Implicit gradient regularization.

Compact Vision Transformer by Reduction of Kernel Complexity Implicit gradient regularization

Reference 3

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This paper cites Bartlett, Olivier Bousquet, and Shahar Mendelson.

Compact Vision Transformer by Reduction of Kernel Complexity Bartlett, Olivier Bousquet, and Shahar Mendelson

Reference 4

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This paper cites To understand deep learning we need to understand kernel learning.

Compact Vision Transformer by Reduction of Kernel Complexity To understand deep learning we need to understand kernel learning

Reference 5

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This paper cites Token merging: Your vit but faster.

Compact Vision Transformer by Reduction of Kernel Complexity Token merging: Your vit but faster

Reference 6

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This paper cites Learned thresholds token merging and pruning for vision transformers.

Compact Vision Transformer by Reduction of Kernel Complexity Learned thresholds token merging and pruning for vision transformers

Reference 7

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Observation 851c30d9-c80d-431e-beb1-04bd4e7c0b01 · outbound

This paper cites Cvtstego-net: A convolutional vision transformer architecture for spatial image steganalysis.

Compact Vision Transformer by Reduction of Kernel Complexity Cvtstego-net: A convolutional vision transformer architecture for spatial image steganalysis

Reference 8

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This paper cites Efficientvit: Enhanced linear attention for high-resolution low-computation visual recognition.

Compact Vision Transformer by Reduction of Kernel Complexity Efficientvit: Enhanced linear attention for high-resolution low-computation visual recognition

Reference 9

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Observation 2616678e-d99d-44b3-83f8-205b1f9e8328 · outbound

This paper cites Cascade R-CNN: high quality object detection and instance segmentation.

Compact Vision Transformer by Reduction of Kernel Complexity Cascade R-CNN: high quality object detection and instance segmentation

Reference 10

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Observation 1db2d52e-0a68-4827-83fa-6382bcfdec67 · outbound

This paper cites A kernel analysis of feature learning in deep neural networks.

Compact Vision Transformer by Reduction of Kernel Complexity A kernel analysis of feature learning in deep neural networks

Reference 11

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This paper cites Generalization bounds of stochastic gradient descent for wide and deep neural networks.

Compact Vision Transformer by Reduction of Kernel Complexity Generalization bounds of stochastic gradient descent for wide and deep neural networks

Reference 12

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This paper cites End-to-end object detection with transformers.

Compact Vision Transformer by Reduction of Kernel Complexity End-to-end object detection with transformers

Reference 13

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This paper cites Vision transformer slimming: Multi-dimension searching in continuous optimization space.

Compact Vision Transformer by Reduction of Kernel Complexity Vision transformer slimming: Multi-dimension searching in continuous optimization space

Reference 14

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Observation 32bafa41-41e8-4dd2-95b2-bea93127cefa · outbound

This paper cites CrossVit: Cross-attention multi-scale vision transformer for image classification.

Compact Vision Transformer by Reduction of Kernel Complexity CrossVit: Cross-attention multi-scale vision transformer for image classification

Reference 15

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This paper cites Autoformer: Searching transformers for visual recognition.

Compact Vision Transformer by Reduction of Kernel Complexity Autoformer: Searching transformers for visual recognition

Reference 16

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This paper cites Chasing sparsity in vision transformers: An end-to-end exploration.

Compact Vision Transformer by Reduction of Kernel Complexity Chasing sparsity in vision transformers: An end-to-end exploration

Reference 17

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This paper cites Calibrating Transformers via Sparse Gaussian Processes.

Compact Vision Transformer by Reduction of Kernel Complexity Calibrating Transformers via Sparse Gaussian Processes

Reference 18

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Observation fbe45abc-7985-49d2-95c7-8ca59a4c7d2c · outbound

This paper cites Neural architecture search on imagenet in four GPU hours: A theoretically inspired perspective.

Compact Vision Transformer by Reduction of Kernel Complexity Neural architecture search on imagenet in four GPU hours: A theoretically inspired perspective

Reference 19

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Observation a09ade7d-c589-4d51-b123-2afaef6c8a69 · outbound

This paper cites Primal-attention: Self-attention through asymmetric kernel svd in primal representation.

Compact Vision Transformer by Reduction of Kernel Complexity Primal-attention: Self-attention through asymmetric kernel svd in primal representation

Reference 20

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Observation 9f526b79-4f49-40d7-b436-a5a3b2fbfef3 · outbound

This paper cites Mobile-Former: Bridging MobileNet and Transformer.

Compact Vision Transformer by Reduction of Kernel Complexity Mobile-Former: Bridging MobileNet and Transformer

Reference 21

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Observation 0ac1a747-4a2b-42f7-be42-8494601b0048 · outbound

This paper cites Kerple: Kernelized relative positional embedding for length extrapolation.

Compact Vision Transformer by Reduction of Kernel Complexity Kerple: Kernelized relative positional embedding for length extrapolation

Reference 22

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Observation a2852c68-1723-47ab-a6ca-a09c196f4751 · outbound

This paper cites Colwell, and Adrian Weller.

Compact Vision Transformer by Reduction of Kernel Complexity Colwell, and Adrian Weller

Reference 23

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This paper cites Lee, and Mahdi Soltanolkotabi.

Compact Vision Transformer by Reduction of Kernel Complexity Lee, and Mahdi Soltanolkotabi

Reference 24

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This paper cites Neuralef: Deconstructing kernels by deep neural networks.

Compact Vision Transformer by Reduction of Kernel Complexity Neuralef: Deconstructing kernels by deep neural networks

Reference 25

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Observation 549eb97e-ff61-478a-bd24-f7864203a7a7 · outbound

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

Compact Vision Transformer by Reduction of Kernel Complexity An image is worth 16x16 words: Transformers for image recognition at scale

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:49:08.968756Z

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

Compact Vision Transformer by Reduction of Kernel Complexity An image is worth 16x16 words: Transformers for image recognition at scale

Reference 27

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Observation af503526-cc40-48c5-90a6-55c9ed336732 · outbound

This paper cites Deep learning versus kernel learning: an empirical study of loss landscape geometry and the time evolution of the neural tangent kernel.

Compact Vision Transformer by Reduction of Kernel Complexity Deep learning versus kernel learning: an empirical study of loss landscape geometry and the time evolution of the neural tangent kernel

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:49:08.569050Z

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Observation cd7f1b94-be04-4fd0-b702-778b236b0a86 · outbound

This paper cites Linearized two-layers neural networks in high dimension.

Compact Vision Transformer by Reduction of Kernel Complexity Linearized two-layers neural networks in high dimension

Reference 29

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Observation 75190eca-5075-4a59-9318-b96e5b040d22 · outbound

This paper cites NASV it: Neural architecture search for efficient vision transformers with gradient conflict aware supernet training.

Compact Vision Transformer by Reduction of Kernel Complexity NASV it: Neural architecture search for efficient vision transformers with gradient conflict aware supernet training

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:49:08.091391Z

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Observation 1de62b6e-229d-4829-b592-b2fd8d3d4415 · outbound

This paper cites Levit: a vision transformer in convnet's clothing for faster inference.

Compact Vision Transformer by Reduction of Kernel Complexity Levit: a vision transformer in convnet's clothing for faster inference

Reference 31

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This paper cites lossless.

Compact Vision Transformer by Reduction of Kernel Complexity lossless

Reference 32

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Observation f5cec189-157e-40c5-a8cb-00898c9161a1 · outbound

This paper cites Deep learning with kernels through rkhm and the perron-frobenius operator.

Compact Vision Transformer by Reduction of Kernel Complexity Deep learning with kernels through rkhm and the perron-frobenius operator

Reference 33

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Observation ddda46dc-bcb5-44a7-beb8-ec6a52c6f948 · outbound

This paper cites Rethinking spatial dimensions of vision transformers.

Compact Vision Transformer by Reduction of Kernel Complexity Rethinking spatial dimensions of vision transformers

Reference 34

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Observation 33b3f297-5b3d-4078-af35-14f559ddaf89 · outbound

This paper cites Hierarchical kernels in deep kernel learning.

Compact Vision Transformer by Reduction of Kernel Complexity Hierarchical kernels in deep kernel learning

Reference 35

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This paper cites Neural tangent kernel: Convergence and generalization in neural networks.

Compact Vision Transformer by Reduction of Kernel Complexity Neural tangent kernel: Convergence and generalization in neural networks

Reference 36

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This paper cites Neural tangent kernel: Convergence and generalization in neural networks.

Compact Vision Transformer by Reduction of Kernel Complexity Neural tangent kernel: Convergence and generalization in neural networks

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:49:06.418045Z

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This paper cites Token fusion: Bridging the gap between token pruning and token merging.

Compact Vision Transformer by Reduction of Kernel Complexity Token fusion: Bridging the gap between token pruning and token merging

Reference 38

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This paper cites Local rademacher complexities and oracle inequalities in risk minimization.

Compact Vision Transformer by Reduction of Kernel Complexity Local rademacher complexities and oracle inequalities in risk minimization

Reference 39

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This paper cites Spvit: Enabling faster vision transformers via latency-aware soft token pruning.

Compact Vision Transformer by Reduction of Kernel Complexity Spvit: Enabling faster vision transformers via latency-aware soft token pruning

Reference 40

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This paper cites Sampling methods for the nystr \" o m method.

Compact Vision Transformer by Reduction of Kernel Complexity Sampling methods for the nystr \" o m method

Reference 41

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This paper cites Neural tangent kernel analysis of deep narrow neural networks.

Compact Vision Transformer by Reduction of Kernel Complexity Neural tangent kernel analysis of deep narrow neural networks

Reference 42

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Observation f7c95c33-5eb5-4c64-b544-2468fd6d301a · outbound

This paper cites Q-vit: Accurate and fully quantized low-bit vision transformer.

Compact Vision Transformer by Reduction of Kernel Complexity Q-vit: Accurate and fully quantized low-bit vision transformer

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:49:05.274601Z

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Observation 3f31b37b-6f95-43d1-a03b-196aa132e77b · outbound

This paper cites Efficientformer: Vision transformers at mobilenet speed.

Compact Vision Transformer by Reduction of Kernel Complexity Efficientformer: Vision transformers at mobilenet speed

Reference 44

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Observation 91e67f29-8481-4af9-950b-ad0969fab6f9 · outbound

This paper cites Repq-vit: Scale reparameterization for post-training quantization of vision transformers.

Compact Vision Transformer by Reduction of Kernel Complexity Repq-vit: Scale reparameterization for post-training quantization of vision transformers

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:49:04.747217Z

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Observation 3ef34586-903f-41a2-a2ba-fdd98730b593 · outbound

This paper cites Swinir: Image restoration using swin transformer.

Compact Vision Transformer by Reduction of Kernel Complexity Swinir: Image restoration using swin transformer

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:49:04.462290Z

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Observation 03c2f466-9ac4-4533-9c00-8a9b22619fd0 · outbound

This paper cites Microsoft coco: Common objects in context.

Compact Vision Transformer by Reduction of Kernel Complexity Microsoft coco: Common objects in context

Reference 47

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Observation 56182cef-0c4b-4413-8fd4-8cf5042eb2ea · outbound

This paper cites Fq-vit: Post-training quantization for fully quantized vision transformer.

Compact Vision Transformer by Reduction of Kernel Complexity Fq-vit: Post-training quantization for fully quantized vision transformer

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:49:04.197180Z

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Observation 98dc5d24-4465-442a-a7f5-da78acdf12ea · outbound

This paper cites Visual instruction tuning.

Compact Vision Transformer by Reduction of Kernel Complexity Visual instruction tuning

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:49:03.977166Z

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Observation fb0fbf8a-f713-4cef-bbd5-e57a465768ad · outbound

This paper cites Updp: A unified progressive depth pruner for cnn and vision transformer.

Compact Vision Transformer by Reduction of Kernel Complexity Updp: A unified progressive depth pruner for cnn and vision transformer

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:49:03.740013Z

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Observation 858d6266-bb77-48c2-9581-9f415654c414 · outbound

This paper cites Efficientvit: Memory efficient vision transformer with cascaded group attention.

Compact Vision Transformer by Reduction of Kernel Complexity Efficientvit: Memory efficient vision transformer with cascaded group attention

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:49:03.498380Z

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Observation 50b6e305-d4bc-4646-b635-cb1bc73155fe · outbound

This paper cites Revisiting token pruning for object detection and instance segmentation.

Compact Vision Transformer by Reduction of Kernel Complexity Revisiting token pruning for object detection and instance segmentation

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:49:03.233885Z

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Observation af8a7517-ebda-4f12-9552-e81a0afbf5ae · outbound

This paper cites Swin Transformer: Hierarchical Vision Transformer using Shifted Windows.

Compact Vision Transformer by Reduction of Kernel Complexity Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

Reference 53

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This paper cites Post-training quantization for vision transformer.

Compact Vision Transformer by Reduction of Kernel Complexity Post-training quantization for vision transformer

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:49:02.942968Z

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Observation 6852d327-71cf-4189-9b0f-930aa1e3ba4b · outbound

This paper cites Prune and merge: Efficient token compression for vision transformer with spatial information preserved.

Compact Vision Transformer by Reduction of Kernel Complexity Prune and merge: Efficient token compression for vision transformer with spatial information preserved

Reference 55

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Observation 74cd347b-28d6-47ed-abdb-3be2f5bb45c5 · outbound

This paper cites Mobilevit: light-weight, general-purpose, and mobile-friendly vision transformer.

Compact Vision Transformer by Reduction of Kernel Complexity Mobilevit: light-weight, general-purpose, and mobile-friendly vision transformer

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:49:02.700626Z

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Observation f5117968-abc7-4fba-a834-9a561819d5ef · outbound

This paper cites Geometric parameters of kernel machines.

Compact Vision Transformer by Reduction of Kernel Complexity Geometric parameters of kernel machines

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:49:02.456574Z

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Compact Vision Transformer by Reduction of Kernel Complexity Unresolved cited work

Reference 58

Resolution: unresolved; raw_fallback, observed 2026-08-06T16:49:02.167537Z

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This paper cites Kernel analysis of deep networks.

Compact Vision Transformer by Reduction of Kernel Complexity Kernel analysis of deep networks

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:49:01.838520Z

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This paper cites Fourierformer: Transformer meets generalized fourier integral theorem.

Compact Vision Transformer by Reduction of Kernel Complexity Fourierformer: Transformer meets generalized fourier integral theorem

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:49:01.601104Z

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Observation a53808ef-6a9d-4219-9874-927c622cef05 · outbound

This paper cites Bertozzi, Richard G.

Compact Vision Transformer by Reduction of Kernel Complexity Bertozzi, Richard G

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:49:01.303721Z

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Compact Vision Transformer by Reduction of Kernel Complexity Unresolved cited work

Reference 62

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This paper cites A survey on efficient vision transformers: algorithms, techniques, and performance benchmarking.

Compact Vision Transformer by Reduction of Kernel Complexity A survey on efficient vision transformers: algorithms, techniques, and performance benchmarking

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:49:00.795866Z

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Observation 456fd9ae-0236-411a-8a59-c3e849b4d508 · outbound

This paper cites u gner, Bertrand Charpentier, Simon Geisler, Morgane Ayle, and Stephan G \.

Compact Vision Transformer by Reduction of Kernel Complexity u gner, Bertrand Charpentier, Simon Geisler, Morgane Ayle, and Stephan G \

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:49:00.582639Z

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This paper cites Designing network design spaces.

Compact Vision Transformer by Reduction of Kernel Complexity Designing network design spaces

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:49:00.249181Z

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Observation fd173311-25a9-4ddf-b0af-d96955baa203 · outbound

This paper cites DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification.

Compact Vision Transformer by Reduction of Kernel Complexity DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-06T16:48:48.087616Z

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This paper cites Imagenet large scale visual recognition challenge.

Compact Vision Transformer by Reduction of Kernel Complexity Imagenet large scale visual recognition challenge

Reference 67

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Observation a4f045c2-91a2-4869-92e1-36bff398f67e · outbound

This paper cites Analyzing finite neural networks: Can we trust neural tangent kernel theory? In Mathematical and Scientific Machine Learning, pp.\ 868--895.

Compact Vision Transformer by Reduction of Kernel Complexity Analyzing finite neural networks: Can we trust neural tangent kernel theory? In Mathematical and Scientific Machine Learning, pp.\ 868--895

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:48:59.949806Z

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Observation 5b96e45b-58ed-45f1-b181-c95b2490dc1d · outbound

This paper cites FLAVA: A foundational language and vision alignment model.

Compact Vision Transformer by Reduction of Kernel Complexity FLAVA: A foundational language and vision alignment model

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-06T16:48:48.444958Z

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Observation 2db2238d-6922-41b4-96da-daecb7f86db0 · outbound

This paper cites Implicit kernel attention.

Compact Vision Transformer by Reduction of Kernel Complexity Implicit kernel attention

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:48:59.677410Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation adc23e85-1eab-42c9-82bc-d9609f391c2d · outbound

This paper cites Vitas: Vision transformer architecture search.

Compact Vision Transformer by Reduction of Kernel Complexity Vitas: Vision transformer architecture search

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:48:59.422215Z

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This paper cites Mean-field analysis on two-layer neural networks from a kernel perspective.

Compact Vision Transformer by Reduction of Kernel Complexity Mean-field analysis on two-layer neural networks from a kernel perspective

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:48:59.208642Z

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Observation 2fb34c2c-678d-4ecd-b36e-c250ad580279 · outbound

This paper cites Mnasnet: Platform-aware neural architecture search for mobile.

Compact Vision Transformer by Reduction of Kernel Complexity Mnasnet: Platform-aware neural architecture search for mobile

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:48:58.928648Z

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Observation b3c6b548-ce5d-44bc-892c-d7d9c0f408b1 · outbound

This paper cites Training data-efficient image transformers & distillation through attention.

Compact Vision Transformer by Reduction of Kernel Complexity Training data-efficient image transformers & distillation through attention

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:48:58.753997Z

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Observation b69b1629-1d91-4999-8ed6-acee7cd97c2e · outbound

This paper cites Attention is all you need.

Compact Vision Transformer by Reduction of Kernel Complexity Attention is all you need

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:48:58.522382Z

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Observation f78538c7-e2df-4fa5-b97e-aec74389ce27 · outbound

This paper cites Adaptive Cross-Layer Attention for Image Restoration.

Compact Vision Transformer by Reduction of Kernel Complexity Adaptive Cross-Layer Attention for Image Restoration

Reference 76

Resolution: verified exact; local_arxiv, observed 2026-08-06T16:48:52.509701Z

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Observation f19eb25b-5142-48e2-934c-9f700bea8e3b · outbound

This paper cites NTK-SAP: improving neural network pruning by aligning training dynamics.

Compact Vision Transformer by Reduction of Kernel Complexity NTK-SAP: improving neural network pruning by aligning training dynamics

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:48:58.228446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation df346213-07b8-4db6-8ec7-8c1b962e4042 · outbound

This paper cites Vtc-lfc: Vision transformer compression with low-frequency components.

Compact Vision Transformer by Reduction of Kernel Complexity Vtc-lfc: Vision transformer compression with low-frequency components

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:48:57.974082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 87543ea8-7243-419f-a56f-2777f59d8f55 · outbound

This paper cites Ntk-approximating MLP fusion for efficient language model fine-tuning.

Compact Vision Transformer by Reduction of Kernel Complexity Ntk-approximating MLP fusion for efficient language model fine-tuning

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:48:57.696217Z

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Observation 2469fc1b-b4a3-4c5e-8de0-6b7d12892ac2 · outbound

This paper cites Auto-prox: Training-free vision transformer architecture search via automatic proxy discovery.

Compact Vision Transformer by Reduction of Kernel Complexity Auto-prox: Training-free vision transformer architecture search via automatic proxy discovery

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:48:57.465910Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a1db33f2-7b49-4de3-80b7-ef164df9df4b · outbound

This paper cites Kernel and rich regimes in overparametrized models.

Compact Vision Transformer by Reduction of Kernel Complexity Kernel and rich regimes in overparametrized models

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:48:57.131253Z

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Observation 8e36504f-7dc0-43db-8e4c-b1f6e2df3f1f · outbound

This paper cites Tinyvit: Fast pretraining distillation for small vision transformers.

Compact Vision Transformer by Reduction of Kernel Complexity Tinyvit: Fast pretraining distillation for small vision transformers

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:48:56.867669Z

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This paper cites Disentangling trainability and generalization in deep neural networks.

Compact Vision Transformer by Reduction of Kernel Complexity Disentangling trainability and generalization in deep neural networks

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:48:56.679368Z

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Observation 0c75385c-0247-4f3d-bd2c-2ea551cfe94b · outbound

This paper cites Unified perceptual parsing for scene understanding.

Compact Vision Transformer by Reduction of Kernel Complexity Unified perceptual parsing for scene understanding

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:48:56.465083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fa5be48b-de96-4c9e-85a8-737eb82cba50 · outbound

This paper cites Lpvit: Low-power semi-structured pruning for vision transformers.

Compact Vision Transformer by Reduction of Kernel Complexity Lpvit: Low-power semi-structured pruning for vision transformers

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:48:56.246800Z

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Observation 350e2d2a-e221-4107-8a93-d4191a25fb33 · outbound

This paper cites From knowledge distillation to self-knowledge distillation: A unified approach with normalized loss and customized soft labels.

Compact Vision Transformer by Reduction of Kernel Complexity From knowledge distillation to self-knowledge distillation: A unified approach with normalized loss and customized soft labels

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:48:55.976923Z

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Observation c81ce9b3-1135-4d7c-b82b-27d13fce8d62 · outbound

This paper cites Vitkd: Feature-based knowledge distillation for vision transformers.

Compact Vision Transformer by Reduction of Kernel Complexity Vitkd: Feature-based knowledge distillation for vision transformers

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:48:55.688918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c1fcf31d-968b-4d12-b3aa-975e6ae051d5 · outbound

This paper cites Width & depth pruning for vision transformers.

Compact Vision Transformer by Reduction of Kernel Complexity Width & depth pruning for vision transformers

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:48:55.406216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 201a64f4-b9f3-4dfa-92b1-adccc8965f4e · outbound

This paper cites Unified visual transformer compression.

Compact Vision Transformer by Reduction of Kernel Complexity Unified visual transformer compression

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:48:55.100330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b67b03b3-f590-4f31-af9c-98e0614e925f · outbound

This paper cites Tokens-to-token vit: Training vision transformers from scratch on imagenet.

Compact Vision Transformer by Reduction of Kernel Complexity Tokens-to-token vit: Training vision transformers from scratch on imagenet

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:48:54.803196Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2a92b499-67d7-45aa-8b7c-53109f7452b3 · outbound

This paper cites Cumulative spatial knowledge distillation for vision transformers.

Compact Vision Transformer by Reduction of Kernel Complexity Cumulative spatial knowledge distillation for vision transformers

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:48:54.531223Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f8bbba53-850b-4340-8e75-12b05129500e · outbound

This paper cites Savit: Structure-aware vision transformer pruning via collaborative optimization.

Compact Vision Transformer by Reduction of Kernel Complexity Savit: Structure-aware vision transformer pruning via collaborative optimization

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:48:54.291410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b71aeb6f-d302-4e0d-b01f-729f26e0b0e3 · outbound

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Compact Vision Transformer by Reduction of Kernel Complexity Unresolved cited work

Reference 93

Resolution: unresolved; raw_fallback, observed 2026-08-06T16:48:54.058280Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation baf21a4d-3c59-4c19-8fbf-249ac9ad2dd2 · outbound

This paper cites Semantic understanding of scenes through the ADE20K dataset.

Compact Vision Transformer by Reduction of Kernel Complexity Semantic understanding of scenes through the ADE20K dataset

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:48:53.797772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f83c1625-db3e-4ae1-8dfe-64582d3fe575 · outbound

This paper cites Deformable detr: Deformable transformers for end-to-end object detection.

Compact Vision Transformer by Reduction of Kernel Complexity Deformable detr: Deformable transformers for end-to-end object detection

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:48:53.486662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5def573a-51aa-4a2d-a36e-9bf1a83e631b · outbound

This paper cites @esa (Ref.

Compact Vision Transformer by Reduction of Kernel Complexity @esa (Ref

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-06T16:48:51.793967Z

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Observation 41bd2ee2-da64-4659-acbb-6df2f58167cc · outbound

This paper cites an unresolved cited work.

Compact Vision Transformer by Reduction of Kernel Complexity Unresolved cited work

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-06T16:48:51.897482Z

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Observation bec91c63-936f-442d-aa76-f411a26938c4 · outbound

This paper cites HATNet: An End-to-End Holistic Attention Network for Diagnosis of Breast Biopsy Images.

Compact Vision Transformer by Reduction of Kernel Complexity HATNet: An End-to-End Holistic Attention Network for Diagnosis of Breast Biopsy Images

Reference 98

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T16:48:52.283609Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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