The following pages link to ImageNet (Q32917):
Displaying 50 items.
- Approximating the Architecture of Visual Cortex in a Convolutional Network (Q5214358) (← links)
- Integrating Flexible Normalization into Midlevel Representations of Deep Convolutional Neural Networks (Q5214393) (← links)
- Adversarial Feature Alignment: Avoid Catastrophic Forgetting in Incremental Task Lifelong Learning (Q5214401) (← links)
- Color-mapped contour gait image for cross-view gait recognition using deep convolutional neural network (Q5220333) (← links)
- A Multiscale Neural Network Based on Hierarchical Matrices (Q5222107) (← links)
- BinaryRelax: A Relaxation Approach for Training Deep Neural Networks with Quantized Weights (Q5230408) (← links)
- Stochastic Image Models from SIFT-Like Descriptors (Q5230413) (← links)
- DNN-PPI: A LARGE-SCALE PREDICTION OF PROTEIN–PROTEIN INTERACTIONS BASED ON DEEP NEURAL NETWORKS (Q5230429) (← links)
- Scalable Extended Dynamic Mode Decomposition Using Random Kernel Approximation (Q5230606) (← links)
- Mutual Component Convolutional Neural Networks for Heterogeneous Face Recognition (Q5238310) (← links)
- Detecting unstable periodic orbits based only on time series: When adaptive delayed feedback control meets reservoir computing (Q5242061) (← links)
- Deep Learning: An Introduction for Applied Mathematicians (Q5243183) (← links)
- The growing ubiquity of algorithms in society: implications, impacts and innovations (Q5243417) (← links)
- Prior-Based Hierarchical Segmentation Highlighting Structures of Interest (Q5270542) (← links)
- Deep learning in fluid dynamics (Q5364534) (← links)
- Efficient Training of Convolutional Deep Belief Networks in the Frequency Domain for Application to High-Resolution 2D and 3D Images (Q5380191) (← links)
- Self-Organization of Control Circuits for Invariant Fiber Projections (Q5380234) (← links)
- An Empirical Overview of the No Free Lunch Theorem and Its Effect on Real-World Machine Learning Classification (Q5380387) (← links)
- A Mathematical Motivation for Complex-Valued Convolutional Networks (Q5380421) (← links)
- Learning Visual Spatial Pooling by Strong PCA Dimension Reduction (Q5380541) (← links)
- Deep Learning with Dynamic Spiking Neurons and Fixed Feedback Weights (Q5380664) (← links)
- An Approximation of the Error Backpropagation Algorithm in a Predictive Coding Network with Local Hebbian Synaptic Plasticity (Q5380699) (← links)
- Multiassociative Memory: Recurrent Synapses Increase Storage Capacity (Q5380705) (← links)
- (Q5381112) (← links)
- Discovery of Nonlinear Multiscale Systems: Sampling Strategies and Embeddings (Q5382442) (← links)
- Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review (Q5382481) (← links)
- Learning the invisible: a hybrid deep learning-shearlet framework for limited angle computed tomography (Q5383309) (← links)
- (Q5405124) (← links)
- Nonlinear random matrix theory for deep learning (Q5854102) (← links)
- On the information bottleneck theory of deep learning (Q5854125) (← links)
- Scaling description of generalization with number of parameters in deep learning (Q5856249) (← links)
- A regularized convolutional neural network for semantic image segmentation (Q5856266) (← links)
- The Computational Complexity of Understanding Binary Classifier Decisions (Q5856459) (← links)
- Benchmark and Survey of Automated Machine Learning Frameworks (Q5856462) (← links)
- Wide neural networks of any depth evolve as linear models under gradient descent <sup>*</sup> (Q5857449) (← links)
- Multilevel Fine-Tuning: Closing Generalization Gaps in Approximation of Solution Maps under a Limited Budget for Training Data (Q5857926) (← links)
- Learning Maximally Monotone Operators for Image Recovery (Q5860360) (← links)
- Parallel Transport Convolution: Deformable Convolutional Networks on Manifold-Structured Data (Q5863517) (← links)
- Deep Learning for Multimedia Forensics (Q5863769) (← links)
- Deep Learning for Image/Video Restoration and Super-resolution (Q5863770) (← links)
- Molecular modeling by machine learning (Q5868457) (← links)
- Distributed Stochastic Optimization with Large Delays (Q5868949) (← links)
- Vision-Language Pre-Training: Basics, Recent Advances, and Future Trends (Q5870776) (← links)
- Learning-based Visual Compression (Q5870778) (← links)
- Model-based Reinforcement Learning: A Survey (Q5870792) (← links)
- Deep neural networks can stably solve high-dimensional, noisy, non-linear inverse problems (Q5873926) (← links)
- Approximating functions with multi-features by deep convolutional neural networks (Q5873927) (← links)
- Deep advantage learning for optimal dynamic treatment regime (Q5879958) (← links)
- Research on three-step accelerated gradient algorithm in deep learning (Q5880102) (← links)
- 3D Image reconstruction using C-dual attention network from multi-view images (Q5880597) (← links)
