deep network

Scale-Space Flow for End-to-End Optimized Video Compression CVPR 2020 Sharp Representation Theorems for ReLU Networks with Precise Dependence on Depth NeurIPS 2020 Single Camera Training for Person Re-Identification AAAI 2020 Towards Discriminability and Diversity: Batch Nuclear-Norm Maximization Under Label Insufficient Situations CVPR 2020 Universal Approximation with Deep Narrow Networks COLT 2020 Unsupervised Clustering using Pseudo-semi-supervised Learning ICLR 2020 WCP: Worst-Case Perturbations for Semi-Supervised Deep Learning CVPR 2020 Adaptation Strategies for Applying AWGN-Based Denoiser to Realistic Noise AAAI 2019 A Primal Dual Formulation For Deep Learning With Constraints NeurIPS 2019 Beyond Cartesian Representations for Local Descriptors ICCV 2019 Collaborative Channel Pruning for Deep Networks ICML 2019 Deep ReLU Networks Have Surprisingly Few Activation Patterns NeurIPS 2019 Deterministic PAC-Bayesian generalization bounds for deep networks via generalizing noise-resilience ICLR 2019 Embedding Complementary Deep Networks for Image Classification CVPR 2019 ESIR: End-To-End Scene Text Recognition via Iterative Image Rectification CVPR 2019 Explaining Landscape Connectivity of Low-cost Solutions for Multilayer Nets NeurIPS 2019 Feature Transfer Learning for Face Recognition With Under-Represented Data CVPR 2019 Implicit Semantic Data Augmentation for Deep Networks NeurIPS 2019 Learning and the Unknown: Surveying Steps toward Open World Recognition AAAI 2019 Learning Deep Transformer Models for Machine Translation ACL 2019 Learning to Quantize Deep Networks by Optimizing Quantization Intervals With Task Loss CVPR 2019 Learning to Reconstruct 3D Human Pose and Shape via Model-Fitting in the Loop ICCV 2019 Learning to Sample CVPR 2019 Minimal Achievable Sufficient Statistic Learning ICML 2019 Nonparametric Bayesian Deep Networks with Local Competition ICML 2019