Neural Networks

VanillaNet: the Power of Minimalism in Deep Learning NeurIPS 2023 VAPCNet: Viewpoint-Aware 3D Point Cloud Completion ICCV 2023 Variational Autoencoding Neural Operators ICML 2023 VC-T: Streaming Voice Conversion Based on Neural Transducer Interspeech 2023 Vector Quantization With Self-Attention for Quality-Independent Representation Learning CVPR 2023 Verifying the Union of Manifolds Hypothesis for Image Data ICLR 2023 Versatile Neural Processes for Learning Implicit Neural Representations ICLR 2023 Video Compression With Entropy-Constrained Neural Representations CVPR 2023 Video Joint Denoising and Demosaicing With Recurrent CNNs WACV 2023 VidStyleODE: Disentangled Video Editing via StyleGAN and NeuralODEs ICCV 2023 VI-Net: Boosting Category-level 6D Object Pose Estimation via Learning Decoupled Rotations on the Spherical Representations ICCV 2023 Visualizing Data Augmentation in Deep Speaker Recognition Interspeech 2023 Visualizing Global Explanations of Point Cloud DNNs WACV 2023 Visually Explaining 3D-CNN Predictions for Video Classification With an Adaptive Occlusion Sensitivity Analysis WACV 2023 Visual Recognition with Deep Nearest Centroids ICLR 2023 Vocoder drift in x-vector–based speaker anonymization Interspeech 2023 VolRecon: Volume Rendering of Signed Ray Distance Functions for Generalizable Multi-View Reconstruction CVPR 2023 Volume Feature Rendering for Fast Neural Radiance Field Reconstruction NeurIPS 2023 Voxurf: Voxel-based Efficient and Accurate Neural Surface Reconstruction ICLR 2023 Wasserstein distributional robustness of neural networks NeurIPS 2023 Weighted Clock Logic Point Process ICLR 2023 Weighted Von Mises Distribution-based Loss Function for Real-time STFT Phase Reconstruction Using DNN Interspeech 2023 Weight Predictor Network with Feature Selection for Small Sample Tabular Biomedical Data AAAI 2023 What Can Be Learnt With Wide Convolutional Neural Networks? ICML 2023 What do CNNs Learn in the First Layer and Why? A Linear Systems Perspective ICML 2023