Computing various norms/measures on over-parametrized neural networks
☆50Nov 26, 2018Updated 7 years ago
Alternatives and similar repositories for over-parametrization
Users that are interested in over-parametrization are comparing it to the libraries listed below
Sorting:
- ☆17May 30, 2018Updated 7 years ago
- SmoothOut: Smoothing Out Sharp Minima to Improve Generalization in Deep Learning☆23Nov 21, 2018Updated 7 years ago
- Official code for the "Optimal Variance Control of the Score Function Gradient Estimator for Importance Weighted Bounds"☆10Feb 16, 2023Updated 3 years ago
- ML-Constructive is a deep learning based constructive heuristic for the Traveling Salesman Problem.☆11Feb 10, 2024Updated 2 years ago
- Official repository for "Bridging Adversarial Robustness and Gradient Interpretability".☆30May 2, 2019Updated 6 years ago
- Source code for paper Mroueh, Sercu, Rigotti, Padhi, dos Santos, "Sobolev Independence Criterion", NeurIPS 2019☆14Jun 17, 2024Updated last year
- ☆34Mar 13, 2021Updated 4 years ago
- ☆11Jan 26, 2020Updated 6 years ago
- Wasserstein regularization for sparse multi-task regression☆15Jul 26, 2020Updated 5 years ago
- SGD and Ordered SGD codes for deep learning, SVM, and logistic regression☆36Aug 13, 2020Updated 5 years ago
- ☆62Jun 8, 2021Updated 4 years ago
- Original PyTorch implementation of the Leap meta-learner (https://arxiv.org/abs/1812.01054) along with code for running the Omniglot expe…☆146Apr 10, 2023Updated 2 years ago
- Code for Unbiased Implicit Variational Inference (UIVI)☆15Jan 18, 2019Updated 7 years ago
- A catalog of Jupyter Notebooks presenting new techniques to interpret black box machine learning models.☆15Nov 14, 2018Updated 7 years ago
- NeurIPS 2018. Linear-time model comparison tests.☆18Feb 15, 2020Updated 6 years ago
- Code for our NeurIPS 2019 *spotlight* "Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers"☆228Nov 9, 2019Updated 6 years ago
- Source code for paper Conservative Uncertainty Estimation By Fitting Prior Networks (ICLR 2020)☆22Nov 28, 2022Updated 3 years ago
- Variational Message Passing for Structured VAE (Code for ICLR 2018 paper)☆47Mar 27, 2018Updated 7 years ago
- 基于Swin-Transformer改进_YOLOv7电力杆塔识别系统☆13Nov 27, 2023Updated 2 years ago
- Official PyTorch code release for Implicit Gradient Transport, NeurIPS'19☆21Jun 11, 2019Updated 6 years ago
- DQV-Learning: a novel faster synchronous Deep Reinforcement Learning algorithm☆24Feb 15, 2023Updated 3 years ago
- ☆22Oct 26, 2020Updated 5 years ago
- ☆25May 20, 2020Updated 5 years ago
- Variational Walkback, NIPS'17☆28Oct 18, 2017Updated 8 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Jan 12, 2019Updated 7 years ago
- Open source implementation of SeaRNN (ICLR 2018, https://openreview.net/forum?id=HkUR_y-RZ)☆48Jul 4, 2018Updated 7 years ago
- Textprep is an analyzing tool for both parallel and non-parallel corpus and its down-stream Natural Language Processing and Machine Trans…☆32Feb 25, 2019Updated 7 years ago
- Implement most common semantic segmentation algorithms☆26Sep 29, 2017Updated 8 years ago
- A working implementation of the Categorical DQN (Distributional RL).☆95Apr 7, 2018Updated 7 years ago
- Code for "Efficient optimization of loops and limits with randomized telescoping sums"☆27May 13, 2019Updated 6 years ago
- ☆61Mar 24, 2023Updated 2 years ago
- Cornell Touchdown natural language navigation and spatial reasoning dataset.☆108Sep 5, 2020Updated 5 years ago
- PyTorch Implementation of Neural Statistician☆61Feb 14, 2022Updated 4 years ago
- Decoupled Neural Interfaces using Synthetic Gradients for PyTorch☆239Jan 12, 2019Updated 7 years ago
- Code for Fong and Vedaldi 2017, "Interpretable Explanations of Black Boxes by Meaningful Perturbation"☆32Sep 25, 2019Updated 6 years ago
- Learning Generative Models across Incomparable Spaces (ICML 2019)☆28Mar 11, 2020Updated 5 years ago
- Implementation and demonstration of backdrop in pytorch. Code and demonstration of GP dataset generator.☆68Jun 6, 2018Updated 7 years ago
- Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, …☆112Dec 19, 2018Updated 7 years ago
- 2020秋季可视化兴趣小组☆10Mar 22, 2021Updated 4 years ago