Journals starting with neru

NeruArch19 * *Neural Architects
* 4-Connected Shift Residual Networks
* Adaptive Activation Functions Using Fractional Calculus
* Adaptive Convolutional Kernels
* AdvGAN++: Harnessing Latent Layers for Adversary Generation
* Attention Routing Between Capsules
* BinaryDenseNet: Developing an Architecture for Binary Neural Networks
* Cross-Granularity Attention Network for Semantic Segmentation
* EENA: Efficient Evolution of Neural Architecture
* Efficient Structured Pruning and Architecture Searching for Group Convolution
* GCNet: Non-Local Networks Meet Squeeze-Excitation Networks and Beyond
* HM-NAS: Efficient Neural Architecture Search via Hierarchical Masking
* HoloGAN: Unsupervised Learning of 3D Representations From Natural Images
* Investigating Convolutional Neural Networks using Spatial Orderness
* Layer-Wise Invertibility for Extreme Memory Cost Reduction of CNN Training
* Localizing Occluders with Compositional Convolutional Networks
* Matrix Nets: A New Deep Architecture for Object Detection
* MSNet: Structural Wired Neural Architecture Search for Internet of Things
* Resource Efficient 3D Convolutional Neural Networks
* Searching for Accurate Binary Neural Architectures
* Sequentially Aggregated Convolutional Networks
* SqueezeNAS: Fast Neural Architecture Search for Faster Semantic Segmentation
* Understanding the Effects of Pre-Training for Object Detectors via Eigenspectrum
* Why Does Data-Driven Beat Theory-Driven Computer Vision?
24 for NeruArch19

NeruArch21 * *Neural Architects
* CONet: Channel Optimization for Convolutional Neural Networks
* Contextual Convolutional Neural Networks
* Convolutional Filter Approximation Using Fractional Calculus
* DDUNet: Dense Dense U-Net with Applications in Image Denoising
* Graph-based Neural Architecture Search with Operation Embeddings
* Leveraging Batch Normalization for Vision Transformers
* PP-NAS: Searching for Plug-and-Play Blocks on Convolutional Neural Network
* Russian Doll Network: Learning Nested Networks for Sample-Adaptive Dynamic Inference
* SCARLET-NAS: Bridging the Gap between Stability and Scalability in Weight-sharing Neural Architecture Search
* Single-DARTS: Towards Stable Architecture Search
* Tiled Squeeze-and-Excite: Channel Attention With Local Spatial Context
12 for NeruArch21

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