The following pages link to ImageNet (Q32917):
Displaying 50 items.
- Skill-based curiosity for intrinsically motivated reinforcement learning (Q2183589) (← links)
- Few-shot learning with adaptively initialized task optimizer: a practical meta-learning approach (Q2183600) (← links)
- Equivalence between dropout and data augmentation: a mathematical check (Q2183670) (← links)
- Conservative physics-informed neural networks on discrete domains for conservation laws: applications to forward and inverse problems (Q2184334) (← links)
- An intelligent nonlinear meta element for elastoplastic continua: deep learning using a new time-distributed residual U-net architecture (Q2184471) (← links)
- Understanding autoencoders with information theoretic concepts (Q2185600) (← links)
- Robust adaptation regularization based on within-class scatter for domain adaptation (Q2185707) (← links)
- Theory of deep convolutional neural networks: downsampling (Q2185717) (← links)
- Universal approximation with quadratic deep networks (Q2185719) (← links)
- Preserving differential privacy in deep neural networks with relevance-based adaptive noise imposition (Q2185767) (← links)
- Learning a distance metric from relative comparisons between quadruplets of images (Q2187430) (← links)
- Data science applications to string theory (Q2187812) (← links)
- Statistical characterization of scattering delay in synthetic aperture radar imaging (Q2188150) (← links)
- A robust outlier control framework for classification designed with family of homotopy loss function (Q2188214) (← links)
- Rapid estimation of permeability from digital rock using 3D convolutional neural network (Q2192827) (← links)
- Convolutional neural networks (CNN) for feature-based model calibration under uncertain geologic scenarios (Q2192840) (← links)
- PAC-Bayesian framework based drop-path method for 2D discriminative convolutional network pruning (Q2192902) (← links)
- Novel convolutional neural network architecture for improved pulmonary nodule classification on computed tomography (Q2192932) (← links)
- Region intensity complexity active contours (Q2192933) (← links)
- Mining mid-level visual patterns with deep CNN activations (Q2193527) (← links)
- Learning on the edge: investigating boundary filters in CNNs (Q2193548) (← links)
- Modeling human motion with quaternion-based neural networks (Q2193564) (← links)
- Inference, learning and attention mechanisms that exploit and preserve sparsity in CNNs (Q2193592) (← links)
- Latent structure preserving hashing (Q2193760) (← links)
- Transductive zero-shot action recognition by word-vector embedding (Q2193768) (← links)
- On unifying multi-view self-representations for clustering by tensor multi-rank minimization (Q2193788) (← links)
- Leveraging prior-knowledge for weakly supervised object detection under a collaborative self-paced curriculum learning framework (Q2193799) (← links)
- Understanding image representations by measuring their equivariance and equivalence (Q2193805) (← links)
- \textit{Kernel cuts}: kernel and spectral clustering meet regularization (Q2193808) (← links)
- Deep supervised hashing for fast image retrieval (Q2193821) (← links)
- Stochastic quantization for learning accurate low-bit deep neural networks (Q2193833) (← links)
- Temporal action detection with structured segment networks (Q2193848) (← links)
- Deep learning for generic object detection: a survey (Q2193851) (← links)
- Large-scale Gaussian process inference with generalized histogram intersection kernels for visual recognition tasks (Q2193880) (← links)
- Discriminatively learned hierarchical rank pooling networks (Q2193883) (← links)
- Bridging the gap between constant step size stochastic gradient descent and Markov chains (Q2196224) (← links)
- A comparative analysis of optimization and generalization properties of two-layer neural network and random feature models under gradient descent dynamics (Q2197845) (← links)
- Nonlocal regularized CNN for image segmentation (Q2198002) (← links)
- Privacy preserving multi-party computation delegation for deep learning in cloud computing (Q2198099) (← links)
- Hierarchical cellular automata for visual saliency (Q2200019) (← links)
- Robust detection and affine rectification of planar homogeneous texture for scene understanding (Q2200024) (← links)
- Multi-label learning with missing labels using mixed dependency graphs (Q2200028) (← links)
- Impact of random weights on nonlinear system identification using convolutional neural networks (Q2201655) (← links)
- Convolutional neural network learning for generic data classification (Q2201683) (← links)
- Multilayer joint segmentation using MRF and graph cuts (Q2203371) (← links)
- Topology optimization based on deep representation learning (DRL) for compliance and stress-constrained design (Q2205158) (← links)
- A heuristic adaptive fast gradient method in stochastic optimization problems (Q2207619) (← links)
- ROCKET: exceptionally fast and accurate time series classification using random convolutional kernels (Q2212518) (← links)
- Robust unsupervised domain adaptation for neural networks via moment alignment (Q2212554) (← links)
- Geometrically invariant color, shape and texture features for object recognition using multiple kernel learning classification approach (Q2213101) (← links)
