weight sharing

MiniViT: Compressing Vision Transformers With Weight Multiplexing CVPR 2022 On the Connection between Local Attention and Dynamic Depth-wise Convolution ICLR 2022 Progressive Automatic Design of Search Space for One-Shot Neural Architecture Search WACV 2022 Relaxing Equivariance Constraints with Non-stationary Continuous Filters NeurIPS 2022 ShiftAddNAS: Hardware-Inspired Search for More Accurate and Efficient Neural Networks ICML 2022 Slimmable Domain Adaptation CVPR 2022 Transfer and Marginalize: Explaining Away Label Noise with Privileged Information ICML 2022 VL-Adapter: Parameter-Efficient Transfer Learning for Vision-and-Language Tasks CVPR 2022 AlphaNet: Improved Training of Supernets with Alpha-Divergence ICML 2021 BN-NAS: Neural Architecture Search With Batch Normalization ICCV 2021 Dual-mode ASR: Unify and Improve Streaming ASR with Full-context Modeling ICLR 2021 Extremely Low Footprint End-to-End ASR System for Smart Device Interspeech 2021 FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search ICCV 2021 Federated Hyperparameter Tuning: Challenges, Baselines, and Connections to Weight-Sharing NeurIPS 2021 Few-Shot Neural Architecture Search ICML 2021 Fitting the Search Space of Weight-sharing NAS with Graph Convolutional Networks AAAI 2021 Geometry-Aware Gradient Algorithms for Neural Architecture Search ICLR 2021 How Powerful are Performance Predictors in Neural Architecture Search? NeurIPS 2021 K-shot NAS: Learnable Weight-Sharing for NAS with K-shot Supernets ICML 2021 Landmark Regularization: Ranking Guided Super-Net Training in Neural Architecture Search CVPR 2021 Layer-Wise Neural Network Compression via Layer Fusion ACML 2021 Locally Free Weight Sharing for Network Width Search ICLR 2021 Meta Learning Backpropagation And Improving It NeurIPS 2021 Norm-Based Generalisation Bounds for Deep Multi-Class Convolutional Neural Networks AAAI 2021 Rethinking Embedding Coupling in Pre-trained Language Models ICLR 2021