CuriousCat-7 / Graph-Structure-of-Neural-Networks
An unofficial re-implementation of Graph Structure of Neural Networks (Jiaxuan You · Kaiming He · Jure Leskovec · Saining Xie) ICML 2020
☆10Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for Graph-Structure-of-Neural-Networks
- Official Implementation of Convolutional Normalization: Improving Robustness and Training for Deep Neural Networks☆30Updated 2 years ago
- The code for Differentiable Linearized ADMM (ICML 2019)☆33Updated 5 years ago
- ICML'20: SIGUA: Forgetting May Make Learning with Noisy Labels More Robust☆13Updated 3 years ago
- Paper and Code for "Curriculum Learning by Optimizing Learning Dynamics" (AISTATS 2021)☆19Updated 3 years ago
- ☆19Updated 5 years ago
- Interpolation between Residual and Non-Residual Networks, ICML 2020. https://arxiv.org/abs/2006.05749☆26Updated 4 years ago
- A PyTorch implementation of the paper "Deep inside convolutional networks: Visualising image classification models and saliency maps"☆23Updated 6 years ago
- NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for class imbalance).☆34Updated 5 years ago
- Second-Order Pooling for Graph Neural Networks☆16Updated 4 years ago
- Code for the paper "Addressing Model Vulnerability to Distributional Shifts over Image Transformation Sets", ICCV 2019☆27Updated 4 years ago
- [ICLR 2020] ”Triple Wins: Boosting Accuracy, Robustness and Efficiency Together by Enabling Input-Adaptive Inference“☆24Updated 2 years ago
- ICLR 2021 (spotlight): Graph Convolution with Low-rank Learnable Local Filters☆15Updated 3 years ago
- Code for the paper "Selecting Relevant Features from a Universal Representation for Few-shot Classification"☆41Updated 3 years ago
- Codebase for the paper "A Gradient Flow Framework for Analyzing Network Pruning"☆21Updated 3 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
- Code For Beyond Finite Layer Neural Network:Bridging Deep Architects and Numerical Differential Equations☆16Updated 5 years ago
- Implementation "Adapting Auxiliary Losses Using Gradient Similarity" article☆32Updated 5 years ago
- Efficient Nonconvex Regularized Tensor Completion with Structure-aware Proximal Iterations. ICML-2019.☆16Updated 5 years ago
- [IJCAI'19] Nostalgic Adam: Weighting more of the past gradients when designing the adaptive learning rate☆12Updated 4 years ago
- ☆9Updated 11 months ago
- Pytorch implementation of Group Equivariant Capsule Networks☆29Updated 5 years ago
- Training Neural Networks Without Gradients: A Scalable ADMM Approach python implement☆15Updated 7 years ago
- ☆33Updated 4 years ago
- Mean Absolute Error Does Not Treat Examples Equally and Gradient Magnitude’s Variance Matters☆30Updated 4 years ago
- ☆38Updated 5 years ago
- WeightNet: Revisiting the Design Space of Weight Networks☆18Updated 3 years ago
- ☆19Updated last year
- This project is the Torch implementation of our accepted CVPR 2019 paper, Iterative Normalization: Beyond Standardization towards Effic…☆24Updated 3 years ago
- ☆40Updated 4 years ago
- PyTorch Vision Toolbox not only for deep-clustering☆29Updated 2 years ago