Neural Networks

Verification of Neural-Network Control Systems by Integrating Taylor Models and Zonotopes AAAI 2022 Video-based Computer-aided Laparoscopic Bleeding Management: a Space-time Memory Neural Network with Positional Encoding and Adversarial Domain Adaptation MIDL 2022 VideoINR: Learning Video Implicit Neural Representation for Continuous Space-Time Super-Resolution CVPR 2022 Video-Text Representation Learning via Differentiable Weak Temporal Alignment CVPR 2022 VisCo Grids: Surface Reconstruction with Viscosity and Coarea Grids NeurIPS 2022 VisCUIT: Visual Auditor for Bias in CNN Image Classifier CVPR 2022 VISOLO: Grid-Based Space-Time Aggregation for Efficient Online Video Instance Segmentation CVPR 2022 Visual Attention Emerges from Recurrent Sparse Reconstruction ICML 2022 Visual Explanations for Convolutional Neural Networks via Latent Traversal of Generative Adversarial Networks (Student Abstract) AAAI 2022 Visual hyperacuity with moving sensor and recurrent neural computations ICLR 2022 Volatility Based Kernels and Moving Average Means for Accurate Forecasting with Gaussian Processes ICML 2022 V-SlowFast Network for Efficient Visual Sound Separation WACV 2022 Wav2vec behind the Scenes: How end2end Models learn Phonetics Interspeech 2022 Weakly Supervised Branch Network With Template Mask for Classifying Masses in 3D Automated Breast Ultrasound WACV 2022 Weakly-supervised learning for image-based classification of primary melanomas into genomic immune subgroups MIDL 2022 Well-Classified Examples Are Underestimated in Classification with Deep Neural Networks AAAI 2022 WeSinger: Data-augmented Singing Voice Synthesis with Auxiliary Losses Interspeech 2022 What Can the Neural Tangent Kernel Tell Us About Adversarial Robustness? NeurIPS 2022 When, where, and how to add new neurons to ANNs AutoML 2022 Where do Models go Wrong? Parameter-Space Saliency Maps for Explainability NeurIPS 2022 Why Discard if You Can Recycle?: A Recycling Max Pooling Module for 3D Point Cloud Analysis CVPR 2022 Why Robust Generalization in Deep Learning is Difficult: Perspective of Expressive Power NeurIPS 2022 Wide Bayesian neural networks have a simple weight posterior: theory and accelerated sampling ICML 2022 Wide Neural Networks Forget Less Catastrophically ICML 2022 Width is Less Important than Depth in ReLU Neural Networks COLT 2022