Skip to content
conftrace_

neural network architecture

394 papers

Papers

Forced Variational Integrator Networks for Prediction and Control of Mechanical Systems L4DC 2021 Grid-Functioned Neural Networks ICML 2021 HITNet: Hierarchical Iterative Tile Refinement Network for Real-time Stereo Matching CVPR 2021 How does a Neural Network's Architecture Impact its Robustness to Noisy Labels? NeurIPS 2021 How Does Topology Influence Gradient Propagation and Model Performance of Deep Networks With DenseNet-Type Skip Connections? CVPR 2021 IDARTS: Interactive Differentiable Architecture Search ICCV 2021 Inception Convolution With Efficient Dilation Search CVPR 2021 In-depth Benchmarking of Deep Neural Network Architectures for ECG Diagnosis MLHC 2021 Intent Features for Rich Natural Language Understanding NAACL 2021 Involution: Inverting the Inherence of Convolution for Visual Recognition CVPR 2021 Joint Inference for Neural Network Depth and Dropout Regularization NeurIPS 2021 LieTransformer: Equivariant Self-Attention for Lie Groups ICML 2021 Monocular Real-Time Full Body Capture With Inter-Part Correlations CVPR 2021 NASGEM: Neural Architecture Search via Graph Embedding Method AAAI 2021 NEU: A Meta-Algorithm for Universal UAP-Invariant Feature Representation JMLR 2021 Neural Function Modules with Sparse Arguments: A Dynamic Approach to Integrating Information across Layers AISTATS 2021 NeuralFusion: Online Depth Fusion in Latent Space CVPR 2021 PDE-GCN: Novel Architectures for Graph Neural Networks Motivated by Partial Differential Equations NeurIPS 2021 PU-EVA: An Edge-Vector Based Approximation Solution for Flexible-Scale Point Cloud Upsampling ICCV 2021 RAFT: Recurrent All-Pairs Field Transforms for Optical Flow (Extended Abstract) IJCAI 2021 Residual Pathway Priors for Soft Equivariance Constraints NeurIPS 2021 Rethinking Spatial Dimensions of Vision Transformers ICCV 2021 Robust Lensless Image Reconstruction via PSF Estimation WACV 2021 Sample-Specific Output Constraints for Neural Networks AAAI 2021 Scalable Marginal Likelihood Estimation for Model Selection in Deep Learning ICML 2021