mlsanityData to 7 Oct 2026

Convolutional Neural Fabrics

arXiv 1606.02492 ↗First posted 8 Jun 2016cs.CV cs.LG cs.NEcited by 32

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Abstract (arXiv)

Despite the success of CNNs, selecting the optimal architecture for a given task remains an open problem. Instead of aiming to select a single optimal architecture, we propose a "fabric" that embeds an exponentially large number of architectures. The fabric consists of a 3D trellis that connects response maps at different layers, scales, and channels with a sparse homogeneous local connectivity pattern. The only hyper-parameters of a fabric are the number of channels and layers. While individual architectures can be recovered as paths, the fabric can in addition ensemble all embedded architectures together, sharing their weights where their paths overlap. Parameters can be learned using standard methods based on back-propagation, at a cost that scales linearly in the fabric size. We present benchmark results competitive with the state of the art for image classification on MNIST and CIFAR10, and for semantic segmentation on the Part Labels dataset.

Key facts. Cited by 32 papers in the map (data through 7 Oct 2026). First posted on arXiv 8 Jun 2016.

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Citing papers per year: 2018: 1; 2019: 0; 2020: 0; 2021: 15; 2022: 7; 2023: 2; 2024: 4; 2025: 2; 2026: 1.

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  1. 2021HRFormer: High-Resolution Transformer for Dense Predictioncited by 149
  2. 2023Neural Architecture Search: Insights from 1000 Paperscited by 136
  3. 2021BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Searchcited by 63
  4. 2025DiEP: Adaptive Mixture-of-Experts Compression through Differentiable Expert Pruningcited by 24
  5. 2021HyperSegNAS: Bridging One-Shot Neural Architecture Search with 3D Medical Image Segmentation using HyperNetcited by 14
  6. 2021Local-to-Global Self-Attention in Vision Transformerscited by 13
  7. 2022A Survey on Computationally Efficient Neural Architecture Searchcited by 12
  8. 2022Neural Architecture Search for Dense Prediction Tasks in Computer Visioncited by 11
  9. 2018IRLAS: Inverse Reinforcement Learning for Architecture Searchcited by 10
  10. 2024Quantifying Task Priority for Multi-Task Optimizationcited by 10
  11. 2021Topological Measurement of Deep Neural Networks Using Persistent Homologycited by 9
  12. 2021Whole Brain Segmentation with Full Volume Neural Networkcited by 5
20 more
  1. 2021MixSearch: Searching for Domain Generalized Medical Image Segmentation Architecturescited by 4
  2. 2021Single Person Pose Estimation: A Surveycited by 4
  3. 2022Towards Less Constrained Macro-Neural Architecture Searchcited by 4
  4. 2023Small but Mighty: Enhancing 3D Point Clouds Semantic Segmentation with U-Next Frameworkcited by 3
  5. 2021Towards Searching Efficient and Accurate Neural Network Architectures in Binary Classification Problemscited by 2
  6. 2021Towards a Robust Differentiable Architecture Search under Label Noisecited by 2
  7. 2022A Deep Learning Approach for the solution of Probability Density Evolution of Stochastic Systemscited by 2
  8. 2021Conceptual Expansion Neural Architecture Search (CENAS)cited by 1
  9. 2022DAS: Neural Architecture Search via Distinguishing Activation Scorecited by 1
  10. 2024Aux-NAS: Exploiting Auxiliary Labels with Negligibly Extra Inference Costcited by 1
  11. 2024Differentiable Prompt Learning for Vision Language Modelscited by 1
  12. 2021GPNAS: A Neural Network Architecture Search Framework Based on Graphical Predictorcited by 0
  13. 2021BraidNet: procedural generation of neural networks for image classification problems using braid theorycited by 0
  14. 2021Balancing Accuracy and Latency in Multipath Neural Networkscited by 0
  15. 2021MS-DARTS: Mean-Shift Based Differentiable Architecture Searchcited by 0
  16. 2022Convolutional Network Fabric Pruning With Label Noisecited by 0
  17. 2022Braid-based architecture searchcited by 0
  18. 2024Multi-objective Differentiable Neural Architecture Searchcited by 0
  19. 2025Kinship Verification through a Forest Neural Networkcited by 0
  20. 2026Von Neumann Networkscited by 0