jh-jeong / selective-convolution
Code for the paper "Training CNNs with Selective Allocation of Channels" (ICML 2019)
☆24Updated 5 years ago
Related projects: ⓘ
- This is the pytorch re-implementation of the IterNorm☆37Updated 5 years ago
- PyTorch implementation of Weighted Batch-Normalization layers☆37Updated 4 years ago
- Paper and Code for "Curriculum Learning by Optimizing Learning Dynamics" (AISTATS 2021)☆18Updated 3 years ago
- ☆21Updated 4 years ago
- ☆25Updated 5 years ago
- Implementation "Adapting Auxiliary Losses Using Gradient Similarity" article☆32Updated 5 years ago
- This project is the Torch implementation of our accepted CVPR 2019 paper, Iterative Normalization: Beyond Standardization towards Effic…☆24Updated 3 years ago
- ☆14Updated 2 years ago
- ☆10Updated 3 years ago
- [ICLR 2020] ”Triple Wins: Boosting Accuracy, Robustness and Efficiency Together by Enabling Input-Adaptive Inference“☆24Updated 2 years ago
- code for CVPR paper "Representation Similarity Analysis for Efficient Task Taxonomy and Transfer Learning"☆26Updated last year
- ☆47Updated 4 years ago
- Source code accompanying our CVPR 2019 paper: "NetTailor: Tuning the architecture, not just the weights."☆52Updated 3 years ago
- ☆22Updated 4 years ago
- Official Implementation of Convolutional Normalization: Improving Robustness and Training for Deep Neural Networks☆30Updated 2 years ago
- Pytorch code for our NeurIPS 2019 paper "Cross-channel Communication Networks"☆41Updated 4 years ago
- [NeurIPS 2020] "Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free" by Haotao Wang*, Tianlong C…☆43Updated 2 years ago
- pytorch implementation of "Contrastive Multiview Coding", "Momentum Contrast for Unsupervised Visual Representation Learning", and "Unsup…☆17Updated 4 years ago
- Codebase for the paper "A Gradient Flow Framework for Analyzing Network Pruning"☆21Updated 3 years ago
- Lifelong Learning via Progressive Distillation and Retrospection☆14Updated 5 years ago
- Code for the paper "Selecting Relevant Features from a Universal Representation for Few-shot Classification"☆41Updated 3 years ago
- Source code for 'Knowledge Distillation via Instance Relationship Graph'☆28Updated 5 years ago
- Code for our ICLR'2021 paper "DrNAS: Dirichlet Neural Architecture Search"☆42Updated 3 years ago
- A Signal Propagation Perspective for Pruning Neural Networks at Initialization☆14Updated 4 years ago
- Knowledge Transfer via Dense Cross-layer Mutual-distillation (ECCV'2020)☆30Updated 4 years ago
- Cheap distillation for convolutional neural networks.☆33Updated 5 years ago
- A PyTorch Implementation of a Large Margin Deep Networks for Classification☆22Updated 5 years ago
- Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression☆46Updated last year
- Self-supervised Label Augmentation via Input Transformations (ICML 2020)☆103Updated 3 years ago
- ☆46Updated last year