The following pages link to ImageNet (Q32917):
Displaying 50 items.
- Topological Approaches to Deep Learning (Q5118362) (← links)
- Forecasting jump arrivals in stock prices: new attention-based network architecture using limit order book data (Q5120733) (← links)
- Predicting the convergence of BiCG method from grayscale matrix images (Q5121403) (← links)
- Learning Aerial Image Similarity Using Triplet Networks (Q5122289) (← links)
- Artificial Neural Networks Training Acceleration Through Network Science Strategies (Q5122308) (← links)
- Individualized Multilayer Tensor Learning With an Application in Imaging Analysis (Q5130626) (← links)
- Implementation of a quantum transfer learning approach to image splicing detection (Q5130772) (← links)
- A Survey on Deep Learning for Multimodal Data Fusion (Q5131118) (← links)
- The Stochastic Delta Rule: Faster and More Accurate Deep Learning Through Adaptive Weight Noise (Q5131130) (← links)
- Toward Training Recurrent Neural Networks for Lifelong Learning (Q5131161) (← links)
- Error bounds for approximations with deep ReLU neural networks in Ws,p norms (Q5132228) (← links)
- Quant GANs: deep generation of financial time series (Q5139243) (← links)
- Derivation and Analysis of Fast Bilinear Algorithms for Convolution (Q5140608) (← links)
- A Three-Stage Variational Image Segmentation Framework Incorporating Intensity Inhomogeneity Information (Q5143312) (← links)
- Multiview Clustering of Images with Tensor Rank Minimization via Nonconvex Approach (Q5143342) (← links)
- Deep Learning for Nonlinear Time Series: Examples for Inferring Slow Driving Forces (Q5148879) (← links)
- (Q5148961) (← links)
- (Q5148973) (← links)
- (Q5148999) (← links)
- (Q5149016) (← links)
- (Q5149258) (← links)
- Multifocus image fusion using multiscale transform and convolutional sparse representation (Q5150120) (← links)
- Discovery of Dynamics Using Linear Multistep Methods (Q5151929) (← links)
- (Q5152053) (← links)
- A Geometrical Analysis of Global Stability in Trained Feedback Networks (Q5154170) (← links)
- Optimizing for Interpretability in Deep Neural Networks with Tree Regularization (Q5154764) (← links)
- Sparse Deep Neural Networks Using L1,∞-Weight Normalization (Q5155193) (← links)
- Deep Network Approximation for Smooth Functions (Q5155613) (← links)
- Statistics of Visual Responses to Image Object Stimuli from Primate AIT Neurons to DNN Neurons (Q5157133) (← links)
- Cross-Domain Metric and Multiple Kernel Learning Based on Information Theory (Q5157150) (← links)
- Distributed Newton Methods for Deep Neural Networks (Q5157199) (← links)
- Learning Data Manifolds with a Cutting Plane Method (Q5157241) (← links)
- Introduction to Supervised Machine Learning for Data Science (Q5158414) (← links)
- Deep Potential: A General Representation of a Many-Body Potential Energy Surface (Q5159341) (← links)
- (Q5159443) (← links)
- (Q5159478) (← links)
- Better Approximations of High Dimensional Smooth Functions by Deep Neural Networks with Rectified Power Units (Q5162006) (← links)
- Dying ReLU and Initialization: Theory and Numerical Examples (Q5162356) (← links)
- Deep Network Approximation Characterized by Number of Neurons (Q5162359) (← links)
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonlinear Partial Differential Equations (Q5162369) (← links)
- Train Like a (Var)Pro: Efficient Training of Neural Networks with Variable Projection (Q5162626) (← links)
- Enforcing Imprecise Constraints on Generative Adversarial Networks for Emulating Physical Systems (Q5163887) (← links)
- Ensemble Kalman inversion: a derivative-free technique for machine learning tasks (Q5197869) (← links)
- Multi-object tracking using deformable convolution networks with tracklets updating (Q5204646) (← links)
- NeST: A Neural Network Synthesis Tool Based on a Grow-and-Prune Paradigm (Q5211705) (← links)
- A Method to Reduce Errors of String Recognition Based on Combination of Several Recognition Results with Per-Character Alternatives (Q5212524) (← links)
- Convolutional autoencoder and conditional random fields hybrid for predicting spatial-temporal chaos (Q5213524) (← links)
- Regularization via Mass Transportation (Q5214188) (← links)
- (Q5214198) (← links)
- (Q5214216) (← links)
