The following pages link to ImageNet (Q32917):
Displaying 50 items.
- Game Plan: What AI can do for Football, and What Football can do for AI (Q4989342) (← links)
- A neighborhood prior constrained collaborative representation for classification (Q4990040) (← links)
- Enhancing adversarial attack transferability with multi-scale feature attack (Q4990044) (← links)
- Deep learning for photoacoustic tomography from sparse data (Q4990712) (← links)
- 9 From the POD-Galerkin method to sparse manifold models (Q4993250) (← links)
- Balanced joint maximum mean discrepancy for deep transfer learning (Q4995048) (← links)
- (Q4998904) (← links)
- (Q4999003) (← links)
- (Q4999039) (← links)
- (Q4999087) (← links)
- The Gap between Theory and Practice in Function Approximation with Deep Neural Networks (Q4999396) (← links)
- An ADMM-Newton-CNN numerical approach to a TV model for identifying discontinuous diffusion coefficients in elliptic equations: convex case with gradient observations (Q5002581) (← links)
- How Convolutional Neural Network Architecture Biases Learned Opponency and Color Tuning (Q5004329) (← links)
- Joint Structure and Parameter Optimization of Multiobjective Sparse Neural Network (Q5004344) (← links)
- Toward a Kernel-Based Uncertainty Decomposition Framework for Data and Models (Q5004348) (← links)
- Detecting Scene-Plausible Perceptible Backdoors in Trained DNNs Without Access to the Training Set (Q5004356) (← links)
- Might a Single Neuron Solve Interesting Machine Learning Problems Through Successive Computations on Its Dendritic Tree? (Q5004373) (← links)
- A Tailored Convolutional Neural Network for Nonlinear Manifold Learning of Computational Physics Data Using Unstructured Spatial Discretizations (Q5005016) (← links)
- Equivariant neural networks for inverse problems (Q5006365) (← links)
- (Q5011559) (← links)
- Structure-preserving deep learning (Q5014474) (← links)
- Graph interpolating activation improves both natural and robust accuracies in data-efficient deep learning (Q5014842) (← links)
- (Q5019878) (← links)
- Triple descent and the two kinds of overfitting: where and why do they appear?* (Q5020037) (← links)
- Deep double descent: where bigger models and more data hurt* (Q5020041) (← links)
- Stability for the training of deep neural networks and other classifiers (Q5024400) (← links)
- KNN Loss and Deep KNN (Q5025037) (← links)
- High generalization performance structured self-attention model for knapsack problem (Q5025155) (← links)
- Optimal Approximation with Sparsely Connected Deep Neural Networks (Q5025773) (← links)
- Multi-Label Classification Neural Networks with Hard Logical Constraints (Q5026213) (← links)
- Layer-Parallel Training of Deep Residual Neural Networks (Q5027015) (← links)
- Matching Component Analysis for Transfer Learning (Q5027030) (← links)
- The relative performance of ensemble methods with deep convolutional neural networks for image classification (Q5036355) (← links)
- Predictive Coding, Variational Autoencoders, and Biological Connections (Q5037129) (← links)
- Active Subspace of Neural Networks: Structural Analysis and Universal Attacks (Q5037556) (← links)
- EnResNet: ResNets Ensemble via the Feynman--Kac Formalism for Adversarial Defense and Beyond (Q5037566) (← links)
- Effects of depth, width, and initialization: A convergence analysis of layer-wise training for deep linear neural networks (Q5037872) (← links)
- On a multilevel Levenberg–Marquardt method for the training of artificial neural networks and its application to the solution of partial differential equations (Q5038185) (← links)
- Deep Statistical Model Checking (Q5041276) (← links)
- Physics-Driven Learning of the Steady Navier-Stokes Equations using Deep Convolutional Neural Networks (Q5042008) (← links)
- SELECTING BIVARIATE COPULA MODELS USING IMAGE RECOGNITION (Q5045332) (← links)
- A Comprehensive Review of Modern Object Segmentation Approaches (Q5046687) (← links)
- Long Short-Term Memory Networks for the Prediction of Transformer Temperature for Energy Distribution Smart Grids (Q5048370) (← links)
- On some similarities and differences between deep neural networks and kernel learning machines (Q5048595) (← links)
- Align, then memorise: the dynamics of learning with feedback alignment* (Q5049525) (← links)
- Bias-Free Yuragi Learning (Q5049729) (← links)
- Waste Segregation to Ease Recyclability (Q5050252) (← links)
- Revisiting Landscape Analysis in Deep Neural Networks: Eliminating Decreasing Paths to Infinity (Q5051381) (← links)
- (Q5053184) (← links)
- (Q5053239) (← links)
