K-Mitsuno / hierarchical-group-sparse-regularization
Hierarchical Group Sparse Regularization for Deep Convolutional Neural Networks
☆11Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for hierarchical-group-sparse-regularization
- Code for the paper titled "Generalized Depthwise-Separable Convolutions for Adversarially Robust and Efficient Neural Networks" (NeurIPS…☆11Updated 2 years ago
- ICLR 2021 (spotlight): Graph Convolution with Low-rank Learnable Local Filters☆15Updated 3 years ago
- A pytorch implementation of DVIB(Deep Variational Information Bottleneck)☆9Updated 5 years ago
- ☆18Updated 3 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 3 years ago
- Official implementation for "Pruning Randomly Initialized Neural Networks with Iterative Randomization"☆10Updated 3 years ago
- Code for AISTATS 2023 paper - Estimating Total Correlation with Mutual Information Estimators☆14Updated 11 months ago
- [ICLR 2021] "Learning a Minimax Optimizer: A Pilot Study" by Jiayi Shen*, Xiaohan Chen*, Howard Heaton*, Tianlong Chen, Jialin Liu, Wotao…☆15Updated 2 years ago
- ICML'20: SIGUA: Forgetting May Make Learning with Noisy Labels More Robust☆13Updated 3 years ago
- ☆15Updated last year
- Code for "Score-based Generative Modeling Secretly Minimizes the Wasserstein Distance", NeurIPS 2022.☆16Updated last year
- Code for CVPR2021 paper: MOOD: Multi-level Out-of-distribution Detection☆38Updated last year
- Official Implementation of Convolutional Normalization: Improving Robustness and Training for Deep Neural Networks☆30Updated 2 years ago
- ☆10Updated 3 years ago
- Data and code for the paper "Deep, complex, invertible networks for inversion of transmission effects in multimode optical fibres" publis…☆18Updated 5 years ago
- Functional Optimal Transport: Map Estimation and Domain Adaptation for Functional data☆25Updated 3 years ago
- Diagnosing Vulnerability of Variational Auto-Encoders to Adversarial Attacks☆13Updated 2 years ago
- Out-of-Distribution Detection with Hilbert-Schmidt Independence Optimization☆10Updated 2 years ago
- [ICLR 2021] "Long Live the Lottery: The Existence of Winning Tickets in Lifelong Learning" by Tianlong Chen*, Zhenyu Zhang*, Sijia Liu, S…☆23Updated 2 years ago
- [AAAI 2021 Workshop] The official repository for the LST-MAP model for few-shot image classification.☆12Updated 3 years ago
- Information Bottleneck Approach to Spatial Attention Learning, IJCAI2021☆14Updated 3 years ago
- Uncertainty Autoencoders, AISTATS 2019☆53Updated 5 years ago
- Code for the paper "Let’s Make Block Coordinate Descent Go Fast"☆45Updated last year
- Prospect Pruning: Finding Trainable Weights at Initialization Using Meta-Gradients☆29Updated 2 years ago
- Adaptive Activation Network and Functional Regularization for Efficient and Flexible Deep Multi-Task Learning☆17Updated 4 years ago
- Implementations of orthogonal and semi-orthogonal convolutions in the Fourier domain with applications to adversarial robustness☆42Updated 3 years ago
- ☆13Updated 7 years ago
- Self-Distillation with weighted ground-truth targets; ResNet and Kernel Ridge Regression☆17Updated 3 years ago
- Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable ? (ICML 2021)☆27Updated last year
- Pytorch implementation for "The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction"☆33Updated 2 years ago