Neural Networks

Reverse engineering recurrent neural networks with Jacobian switching linear dynamical systems NeurIPS 2021 Revisiting Adaptive Convolutions for Video Frame Interpolation WACV 2021 Revisiting Dynamic Convolution via Matrix Decomposition ICLR 2021 Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline ICML 2021 Revisiting Weight Initialization of Deep Neural Networks ACML 2021 Reweighting Augmented Samples by Minimizing the Maximal Expected Loss ICLR 2021 RFNet: Recurrent Forward Network for Dense Point Cloud Completion ICCV 2021 RGB-D Local Implicit Function for Depth Completion of Transparent Objects CVPR 2021 RGB-D Salient Object Detection via 3D Convolutional Neural Networks AAAI 2021 Rich Features for Perceptual Quality Assessment of UGC Videos CVPR 2021 Ridge Regression with Over-parametrized Two-Layer Networks Converge to Ridgelet Spectrum AISTATS 2021 Riemannian Embedding Banks for Common Spatial Patterns with EEG-based SPD Neural Networks AAAI 2021 Right for Better Reasons: Training Differentiable Models by Constraining their Influence Functions AAAI 2021 Ringing ReLUs: Harmonic Distortion Analysis of Nonlinear Feedforward Networks ICLR 2021 RNA Secondary Structure Representation Network for RNA-proteins Binding Prediction AAAI 2021 RNNRepair: Automatic RNN Repair via Model-based Analysis ICML 2021 Robust and Decomposable Average Precision for Image Retrieval NeurIPS 2021 Robust Consistent Video Depth Estimation CVPR 2021 Robust Continuous On-Device Personalization for Automatic Speech Recognition Interspeech 2021 Robust Implicit Networks via Non-Euclidean Contractions NeurIPS 2021 Robust Learning for Data Poisoning Attacks ICML 2021 Robustness to Missing Features using Hierarchical Clustering with Split Neural Networks (Student Abstract) AAAI 2021 Robustness via Cross-Domain Ensembles ICCV 2021 Robust PDF Document Conversion using Recurrent Neural Networks AAAI 2021 Robust Representation Learning With Feedback for Single Image Deraining CVPR 2021