deep network

Learning Sparse Interpretable Features For NAS Scoring From Liver Biopsy Images IJCAI 2022 Neural Tangent Kernel Beyond the Infinite-Width Limit: Effects of Depth and Initialization ICML 2022 On Predicting Generalization using GANs ICLR 2022 projUNN: efficient method for training deep networks with unitary matrices NeurIPS 2022 Surprising Instabilities in Training Deep Networks and a Theoretical Analysis NeurIPS 2022 Understanding Robust Overfitting of Adversarial Training and Beyond ICML 2022 WaveBound: Dynamic Error Bounds for Stable Time Series Forecasting NeurIPS 2022 Adaptive Consistency Prior Based Deep Network for Image Denoising CVPR 2021 Automated Symbolic Law Discovery: A Computer Vision Approach AAAI 2021 Beyond pixel-wise supervision for segmentation: A few global shape descriptors might be surprisingly good! MIDL 2021 DAT: Training Deep Networks Robust To Label-Noise by Matching the Feature Distributions CVPR 2021 Deep Bandits Show-Off: Simple and Efficient Exploration with Deep Networks NeurIPS 2021 Deep Networks Provably Classify Data on Curves NeurIPS 2021 Interpreting Super-Resolution Networks With Local Attribution Maps CVPR 2021 LassoNet: A Neural Network with Feature Sparsity JMLR 2021 Learning Affinity-Aware Upsampling for Deep Image Matting CVPR 2021 Learning Binary Decision Trees by Argmin Differentiation ICML 2021 Memory Optimization for Deep Networks ICLR 2021 Mixed-Privacy Forgetting in Deep Networks CVPR 2021 On Equivariant and Invariant Learning of Object Landmark Representations ICCV 2021 PT-CapsNet: A Novel Prediction-Tuning Capsule Network Suitable for Deeper Architectures ICCV 2021 ReZero is all you need: fast convergence at large depth UAI 2021 Robust early-learning: Hindering the memorization of noisy labels ICLR 2021 SOLD2: Self-Supervised Occlusion-Aware Line Description and Detection CVPR 2021 SSA2D: Single Shot Actor-Action Detection in Videos (Student Abstract) AAAI 2021