LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning | Paper Citation Record

Observation 7f585214-613b-42cc-936c-ab5d71e2d6c9 · outbound

This paper cites Autoaugment: Learning augmentation strategies from data,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning Autoaugment: Learning augmentation strategies from data,

Reference 1

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Observation 3e00e701-b111-4463-90ed-c8b9ff3b43a8 · outbound

This paper cites Randaugment: Practical automated data augmentation with a reduced search space,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning Randaugment: Practical automated data augmentation with a reduced search space,

Reference 2

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This paper cites Random erasing data augmentation,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning Random erasing data augmentation,

Reference 3

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Observation 14847b17-ea69-4970-9a5f-ce1d9cb0d014 · outbound

This paper cites Zero-shot image classification based on deep feature extraction,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning Zero-shot image classification based on deep feature extraction,

Reference 4

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Observation f8f5f3d0-7984-4ba0-889c-6ea372aa5b77 · outbound

This paper cites LiT: Zero-shot transfer with locked-image text tuning,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning LiT: Zero-shot transfer with locked-image text tuning,

Reference 5

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Observation 6cf0e46b-ab53-4633-8e1a-13af5e9123be · outbound

This paper cites Open-vocabulary object detection via vision and language knowledge distillation,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning Open-vocabulary object detection via vision and language knowledge distillation,

Reference 6

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Observation 60e94d64-fb84-4595-885e-f3a8f8e7c35e · outbound

This paper cites VoxNet: A 3D convolutional neural network for real-time object recognition,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning VoxNet: A 3D convolutional neural network for real-time object recognition,

Reference 7

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Observation 46ca8384-2033-49ef-a6f4-cb2cb0ac6fe9 · outbound

This paper cites PIXOR: Real-time 3D object detection from point clouds,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning PIXOR: Real-time 3D object detection from point clouds,

Reference 8

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Observation 41ae8f6a-bae5-4c03-930b-27c9a578b486 · outbound

This paper cites Voxel transformer for 3D object detection,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning Voxel transformer for 3D object detection,

Reference 9

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Observation 96f890a5-52af-4d42-9704-7354f61cb532 · outbound

This paper cites NormFace: L2 hypersphere embedding for face verification,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning NormFace: L2 hypersphere embedding for face verification,

Reference 10

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Observation 3b58f4f2-c8fb-4ca4-8a6d-9b999c0300ed · outbound

This paper cites CosFace: Large margin cosine loss for deep face recognition,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning CosFace: Large margin cosine loss for deep face recognition,

Reference 11

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Observation ace26a12-b34a-4874-ab0a-55e5d27ca5e5 · outbound

This paper cites Deep residual learning for image recognition,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning Deep residual learning for image recognition,

Reference 12

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Observation 7f33b7f6-ea7a-46a3-934e-b06b95f391e8 · outbound

This paper cites Wide Residual Networks,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning Wide Residual Networks,

Reference 13

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Observation cfacc6d6-82e0-4df2-9c32-58b5d4ddb656 · outbound

This paper cites Inception-v4, inception-resnet and the impact of residual connections on learning,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning Inception-v4, inception-resnet and the impact of residual connections on learning,

Reference 14

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Observation a7c62c25-bb52-46a0-9436-36a773371c7e · outbound

This paper cites EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks,

Reference 15

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Observation ce185062-5164-4b1f-957d-70e3c01e3584 · outbound

This paper cites YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information,

Reference 16

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Observation eb171921-e670-4d78-be7b-8d4bd8ab70c7 · outbound

This paper cites Efficientdet: Scalable and efficient object detection,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning Efficientdet: Scalable and efficient object detection,

Reference 17

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Observation f5a24867-f01f-49bc-8b43-082517b1475c · outbound

This paper cites Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks,

Reference 18

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Observation ebaee878-52bc-4546-a665-888d95666196 · outbound

This paper cites Mask R-CNN,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning Mask R-CNN,

Reference 19

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Observation 139d7590-4abf-434a-a963-45fa346a33cf · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning U-net: Convolutional networks for biomedical image segmentation,

Reference 20

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Observation 4e87b046-869c-4ce4-91ea-94336437d86e · outbound

This paper cites SAM 2: Segment Anything in Images and Videos,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning SAM 2: Segment Anything in Images and Videos,

Reference 21

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Observation 9b960f38-3176-4660-b59e-5d3146693340 · outbound

This paper cites Do ImageNet classifiers generalize to ImageNet?.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning Do ImageNet classifiers generalize to ImageNet?

Reference 22

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Observation fd874e2f-1441-4036-8fc9-24f60c37534e · outbound

This paper cites Robustbench: a standardized adversarial robustness benchmark,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning Robustbench: a standardized adversarial robustness benchmark,

Reference 23

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Observation 95e65abd-a4b8-4fb8-856e-7ec772077bfd · outbound

This paper cites Unsolved Problems in ML Safety.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning Unsolved Problems in ML Safety

Reference 24

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Observation b675814d-8826-4197-8ec4-d298b01b9120 · outbound

This paper cites Benchmarking Neural Network Robustness to Common Corruptions and Perturbations,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning Benchmarking Neural Network Robustness to Common Corruptions and Perturbations,

Reference 25

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Observation b8492d27-9ba8-4d27-be6a-96e07efe4a47 · outbound

This paper cites On interaction between augmentations and corruptions in natural corruption robustness,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning On interaction between augmentations and corruptions in natural corruption robustness,

Reference 26

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Observation 1c0b6363-ea54-4bbc-92e1-dcdbd8124de6 · outbound

This paper cites On detecting adversarial perturbations,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning On detecting adversarial perturbations,

Reference 27

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Observation 45829b87-abea-43d1-b4db-36c781ceeff8 · outbound

This paper cites Network anomaly detection using LSTM based autoencoder,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning Network anomaly detection using LSTM based autoencoder,

Reference 28

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Observation 6889efff-09f5-491e-ad70-615ed46341be · outbound

This paper cites KeepAugment: A simple information-preserving data augmentation approach,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning KeepAugment: A simple information-preserving data augmentation approach,

Reference 29

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Observation 2cb8e9b5-937c-4fc6-b824-972349ff099b · outbound

This paper cites Defending against image corruptions through adversarial augmentations,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning Defending against image corruptions through adversarial augmentations,

Reference 30

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Observation 516f0019-e3c4-44a5-a0ce-25fc9b9cfa04 · outbound

This paper cites Puzzle mix: Exploiting saliency and local statistics for optimal mixup,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning Puzzle mix: Exploiting saliency and local statistics for optimal mixup,

Reference 31

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Observation e43834c8-d1c3-435e-94fe-877d2c75859e · outbound

This paper cites Evaluating model robustness and stability to dataset shift,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning Evaluating model robustness and stability to dataset shift,

Reference 32

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Observation c8a352ba-981e-47bd-8151-2e05bcb7c949 · outbound

This paper cites A Comprehensive Survey on Data Augmentation,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning A Comprehensive Survey on Data Augmentation,

Reference 33

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Observation d2ea1193-77e1-4084-b162-127cf5265e1e · outbound

This paper cites Data augmentation: A comprehensive survey of modern approaches,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning Data augmentation: A comprehensive survey of modern approaches,

Reference 34

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This paper cites Fast AutoAugment,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning Fast AutoAugment,

Reference 35

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Observation 1e86c2cb-bbf4-4185-a656-055b3b17d978 · outbound

This paper cites AutoAugment: Learning augmentation strategies from data,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning AutoAugment: Learning augmentation strategies from data,

Reference 36

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This paper cites mixup: Beyond empirical risk minimization,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning mixup: Beyond empirical risk minimization,

Reference 37

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Observation 69d73f09-ffce-45e6-abbc-215496a8e927 · outbound

This paper cites RICAP: Random image cropping and patching data augmentation for deep cnns,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning RICAP: Random image cropping and patching data augmentation for deep cnns,

Reference 38

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Observation 0578b846-2eb5-44d7-921c-0caf8ff6d3c1 · outbound

This paper cites Co-mixup: Saliency guided joint mixup with supermodular diversity,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning Co-mixup: Saliency guided joint mixup with supermodular diversity,

Reference 39

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Observation 49d8d504-a53a-4220-9a14-f675e351279f · outbound

This paper cites PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures,

Reference 40

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Observation 1b7c2c9e-07f0-47ab-93ea-e400d262f1e1 · outbound

This paper cites IPMix: Label-preserving data augmentation method for training robust classifiers,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning IPMix: Label-preserving data augmentation method for training robust classifiers,

Reference 41

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Observation e9e1b984-c0ac-44d9-a7b0-a3017109ee08 · outbound

This paper cites DiffuseMix: Label-Preserving Data Augmentation with Diffusion Models,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning DiffuseMix: Label-Preserving Data Augmentation with Diffusion Models,

Reference 42

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Observation 178f5387-09c9-44a5-a7d4-4bd5a49432b1 · outbound

This paper cites GenMix: Effective Data Augmentation with Generative Diffusion Model Image Editing,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning GenMix: Effective Data Augmentation with Generative Diffusion Model Image Editing,

Reference 43

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This paper cites Measures of complexity: A nonexhaustive list,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning Measures of complexity: A nonexhaustive list,

Reference 44

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Observation 719afec8-5bd8-496e-a8a3-05bc1e051928 · outbound

This paper cites Pre-training without natural images,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning Pre-training without natural images,

Reference 45

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Observation 303b3812-1fa1-4324-b0df-a152a5dc9568 · outbound

This paper cites Can Vision Transformers Learn without Natural Images?.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning Can Vision Transformers Learn without Natural Images?

Reference 46

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Observation f517cb93-f5a4-41c0-91f3-621c3b6bdc93 · outbound

This paper cites MixUp as Locally Linear Out-of-Manifold Regularization,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning MixUp as Locally Linear Out-of-Manifold Regularization,

Reference 47

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Observation c5de454b-7c04-4250-9f78-7a4e582d9e88 · outbound

This paper cites Local Mixup: Interpolation of closest input signals to prevent manifold intrusion,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning Local Mixup: Interpolation of closest input signals to prevent manifold intrusion,

Reference 48

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Observation 1360197f-ee64-4d02-a04b-d7ff3af39d25 · outbound

This paper cites Natural adversarial examples,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning Natural adversarial examples,

Reference 49

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Observation 20720209-b9b7-47ae-925d-0d5ae2f5939e · outbound

This paper cites The many faces of robustness: A critical analysis of out-of-distribution generalization,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning The many faces of robustness: A critical analysis of out-of-distribution generalization,

Reference 50

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Observation 7b1481e7-bcae-4164-a721-b272b9f15638 · outbound

This paper cites Gradient-based learning applied to document recognition,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning Gradient-based learning applied to document recognition,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:28:59.913054Z

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Observation ec85b4ad-bb41-4814-a2a8-7062dbfaa5fe · outbound

This paper cites Imagenet classification with deep convolutional neural networks,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning Imagenet classification with deep convolutional neural networks,

Reference 52

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Observation 7905d28f-641e-405b-a0d8-f393e08b2715 · outbound

This paper cites Attention is all you need,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning Attention is all you need,

Reference 53

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Observation 4bf157b8-5199-43ea-b385-14d2851a90c2 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:28:59.878062Z

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Observation 8360737d-9101-4732-b02a-2c7a90b0813e · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning Swin transformer: Hierarchical vision transformer using shifted windows,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:28:59.865256Z

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Observation 82280aac-e457-4b1c-9335-4f1a8f8335b2 · outbound

This paper cites Denoising diffusion probabilistic models,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning Denoising diffusion probabilistic models,

Reference 56

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This paper cites Deep unsupervised learning using nonequilibrium thermodynamics,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning Deep unsupervised learning using nonequilibrium thermodynamics,

Reference 57

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This paper cites Deep double descent: Where bigger models and more data hurt,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning Deep double descent: Where bigger models and more data hurt,

Reference 58

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This paper cites Affinity and Diversity: Quantifying Mechanisms of Data Augmentation.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning Affinity and Diversity: Quantifying Mechanisms of Data Augmentation

Reference 59

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This paper cites Investigating the effectiveness of data augmentation from similarity and diversity: An empirical study,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning Investigating the effectiveness of data augmentation from similarity and diversity: An empirical study,

Reference 60

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This paper cites Manifold mixup: Better representations by interpolating hidden states,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning Manifold mixup: Better representations by interpolating hidden states,

Reference 61

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This paper cites Vicinal risk minimization,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning Vicinal risk minimization,

Reference 62

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This paper cites AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty,

Reference 63

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Observation 56aba428-dad3-475d-8458-14f5883208ce · outbound

This paper cites Adversarial attacks on medical machine learning,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning Adversarial attacks on medical machine learning,

Reference 64

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This paper cites SoK: Security and privacy in machine learning,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning SoK: Security and privacy in machine learning,

Reference 65

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Observation 9f832963-6d3f-4b95-9c59-e4ac62b0eb6f · outbound

This paper cites Applying network analysis to explore the global scientific literature on food security,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning Applying network analysis to explore the global scientific literature on food security,

Reference 66

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Observation 51c9a919-b974-4c80-ba65-d73ec9bfbd94 · outbound

This paper cites EMMA: End-to-End Multimodal Model for Autonomous Driving,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning EMMA: End-to-End Multimodal Model for Autonomous Driving,

Reference 67

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This paper cites Improving Agent Behaviors with RL Fine-Tuning for Autonomous Driving,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning Improving Agent Behaviors with RL Fine-Tuning for Autonomous Driving,

Reference 68

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This paper cites Language is not all you need: Aligning perception with language models,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning Language is not all you need: Aligning perception with language models,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:28:59.727653Z

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This paper cites Hugginggpt: Solving ai tasks with chatgpt and its friends in hugging face,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning Hugginggpt: Solving ai tasks with chatgpt and its friends in hugging face,

Reference 70

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Observation cbfb8e0d-1d80-4bca-9230-d24efbd455ee · outbound

This paper cites GPT-4 Technical Report.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning GPT-4 Technical Report

Reference 71

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This paper cites LLaMA: Open and Efficient Foundation Language Models,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning LLaMA: Open and Efficient Foundation Language Models,

Reference 72

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Observation 7d4f4955-5c94-4567-81c4-e8e3563770f1 · outbound

This paper cites Imagenet: A large-scale hierarchical image database,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning Imagenet: A large-scale hierarchical image database,

Reference 73

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This paper cites Boosting adversarial attacks with momentum,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning Boosting adversarial attacks with momentum,

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:28:59.684280Z

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Observation 1916dd8a-1b32-47d4-a045-6416dcf41aa8 · outbound

This paper cites Feature denoising for improving adversarial robustness,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning Feature denoising for improving adversarial robustness,

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:28:59.672847Z

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Observation 62fd9643-15cd-4c2c-959b-09cef31600c8 · outbound

This paper cites Adversarial examples improve image recognition,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning Adversarial examples improve image recognition,

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:28:59.661934Z

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This paper cites Visda-2021 competition: Universal domain adaptation to improve performance on out-of-distribution data,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning Visda-2021 competition: Universal domain adaptation to improve performance on out-of-distribution data,

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:28:59.651444Z

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Observation c4be2290-6675-4bfb-ab7f-7ebdd58519c3 · outbound

This paper cites A unifying review of deep and shallow anomaly detection,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning A unifying review of deep and shallow anomaly detection,

Reference 78

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LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning A fourier perspective on model robustness in computer vision,

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:28:59.622467Z

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Observation cf9a4ca1-183d-4a1e-87e8-cb71bf6e97d9 · outbound

This paper cites Distributionally robust neural networks,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning Distributionally robust neural networks,

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:28:59.611341Z

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Observation 6d5503a9-e975-4367-8721-1490355d4b8f · outbound

This paper cites Wilds: A benchmark of in-the-wild distribution shifts,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning Wilds: A benchmark of in-the-wild distribution shifts,

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:28:59.599189Z

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Observation 26e82a06-c5d5-4b04-86d7-6a3ce1d38740 · outbound

This paper cites Imagenet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning Imagenet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:28:59.587181Z

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Observation a5c724e5-ad83-40b7-bec2-74828c34bbe4 · outbound

This paper cites On calibration of modern neural networks,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning On calibration of modern neural networks,

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:28:59.575894Z

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Observation e51d52e7-3463-4165-9205-1d6f4661e0fa · outbound

This paper cites Accurate uncertainties for deep learning using calibrated regression,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning Accurate uncertainties for deep learning using calibrated regression,

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:28:59.564721Z

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Observation e3323120-e6e0-40b9-93d9-480f68360bba · outbound

This paper cites Can you trust your model's uncertainty? evaluating predictive uncertainty under dataset shift,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning Can you trust your model's uncertainty? evaluating predictive uncertainty under dataset shift,

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:28:59.554715Z

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This paper cites Improving fractal pre-training,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning Improving fractal pre-training,

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:28:59.545109Z

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Observation a502ce82-8fdc-404e-a422-7644916fa831 · outbound

This paper cites Learning multiple layers of features from tiny images,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning Learning multiple layers of features from tiny images,

Reference 87

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LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning Imagenet large scale visual recognition challenge,

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:28:59.528574Z

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This paper cites Some terminology and notation in information theory,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning Some terminology and notation in information theory,

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:28:59.516884Z

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Observation 60d9db40-38d4-4bb7-b86e-8dedf547e334 · outbound

This paper cites CutMix: Regularization strategy to train strong classifiers with localizable features,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning CutMix: Regularization strategy to train strong classifiers with localizable features,

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:28:59.504609Z

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Observation d03d791c-d8e9-426e-a9cf-618c80be9b20 · outbound

This paper cites Towards deep learning models resistant to adversarial attacks,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning Towards deep learning models resistant to adversarial attacks,

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:28:59.493425Z

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Observation 1f1017eb-1903-4232-b6c1-96ab1b38c322 · outbound

This paper cites Deep anomaly detection with outlier exposure,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning Deep anomaly detection with outlier exposure,

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:28:59.482049Z

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Observation 31b067db-4281-4b08-a8d3-aeba85d20811 · outbound

This paper cites Posterior calibration and exploratory analysis for natural language processing models,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning Posterior calibration and exploratory analysis for natural language processing models,

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:28:59.471125Z

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Observation 4501a789-5196-4cbb-85ec-2315794dcf71 · outbound

This paper cites SGDR: Stochastic gradient descent with warm restarts,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning SGDR: Stochastic gradient descent with warm restarts,

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:28:59.459978Z

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Observation 40bd96f2-8c15-48e8-9d42-0a9af8aa3f5d · outbound

This paper cites Aggregated residual transformations for deep neural networks,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning Aggregated residual transformations for deep neural networks,

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:28:59.442422Z

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Observation 92c25b56-e700-4a66-941b-9a634b5b1fa2 · outbound

This paper cites Tiny imagenet visual recognition challenge,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning Tiny imagenet visual recognition challenge,

Reference 96

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Observation b7de091a-4501-41d8-8f34-c3d613a6bba9 · outbound

This paper cites Grad-cam: Visual explanations from deep networks via gradient-based localization,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning Grad-cam: Visual explanations from deep networks via gradient-based localization,

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:28:59.423865Z

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Observation 6a6a96e4-d16a-4f9b-a0eb-4f6595bb76b2 · outbound

This paper cites Adversarial autoaugment,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning Adversarial autoaugment,

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:28:59.413984Z

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Observation e3a38331-bb15-4769-bbac-456e38debe41 · outbound

This paper cites TrivialAugment: Tuning-free yet state-of-the-art data augmentation,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning TrivialAugment: Tuning-free yet state-of-the-art data augmentation,

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:28:59.403873Z

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Observation 250f6bde-18b1-4c5c-9aa4-dbbb24fae752 · outbound

This paper cites Improved image augmentation for convolutional neural networks by copyout and copypairing,.

LayerMix: Enhanced Data Augmentation through Fractal Integration for Robust Deep Learning Improved image augmentation for convolutional neural networks by copyout and copypairing,

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:28:59.393616Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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