bilevel_augment is a ServiceNow Research project that was started at Element AI.
☆27Jun 23, 2022Updated 3 years ago
Alternatives and similar repositories for bilevel_augment
Users that are interested in bilevel_augment are comparing it to the libraries listed below
Sorting:
- ☆10Nov 8, 2020Updated 5 years ago
- Beyond Trivial Counterfactual Explanations with Diverse Valuable Explanations is a ServiceNow Research project that was started at Elemen…☆13Jul 31, 2023Updated 2 years ago
- MiLeNAS: Efficient Neural Architecture Search via Mixed-Level Reformulation. Published in CVPR 2020☆36Dec 17, 2020Updated 5 years ago
- WACV2021 - A Weakly Supervised Consistency-based Learning Method for COVID-19 Segmentation in CT Images☆40Jul 25, 2024Updated last year
- An integration of several popular automatic augmentation methods, including OHL (Online Hyper-Parameter Learning for Auto-Augmentation St…☆48Nov 26, 2020Updated 5 years ago
- ☆23Jun 25, 2021Updated 4 years ago
- Gold Loss Correction for training neural networks with labels corrupted with severe noise☆13Aug 17, 2019Updated 6 years ago
- sharpDARTS: Faster and More Accurate Differentiable Architecture Search☆15Feb 7, 2021Updated 5 years ago
- Official PyTorch implementation of "EvoGrad: Efficient Gradient-Based Meta-Learning and Hyperparameter Optimization"☆23Oct 24, 2021Updated 4 years ago
- Causal discovery with typed directed acyclic graphs (t-DAG). This is a ServiceNow Research project that was started at Element AI.☆13Jul 6, 2023Updated 2 years ago
- ☆33Oct 9, 2022Updated 3 years ago
- PyTorch implementation of "STNs" and "Delta-STNs".☆50Feb 20, 2021Updated 5 years ago
- Automated neural architecture search algorithms implemented in PyTorch and Autogluon toolkit.☆12Apr 17, 2020Updated 5 years ago
- Gradient-based Hyperparameter Optimization Over Long Horizons☆14Sep 29, 2021Updated 4 years ago
- Delta Orthogonal Initialization for PyTorch☆18Jun 27, 2018Updated 7 years ago
- To Run, Manage and Visualize Large Scale Experiments☆172Sep 24, 2023Updated 2 years ago
- Code for "Self-Distillation as Instance-Specific Label Smoothing"☆16Oct 22, 2020Updated 5 years ago
- [ECCV 2020]"Off-Policy Reinforcement Learning for Efficient and Effective GAN Architecture Search" By Yuan Tian, Qin Wang, Zhiwu Huang, W…☆41Jun 14, 2022Updated 3 years ago
- ☆26Mar 10, 2026Updated last week
- [ECCV2024] ModTr: Modality Translation for Object Detection Adaptation Without Forgetting Prior Knowledge☆19Nov 28, 2024Updated last year
- ☆12May 1, 2023Updated 2 years ago
- Basic code for adaptive batch in pytorch☆18Nov 21, 2019Updated 6 years ago
- On the Loss Landscape of Adversarial Training: Identifying Challenges and How to Overcome Them [NeurIPS 2020]☆36Jul 3, 2021Updated 4 years ago
- ☆13Jan 8, 2020Updated 6 years ago
- Code for our arxiv preprint: https://arxiv.org/abs/1904.04205☆13Apr 9, 2019Updated 6 years ago
- ☆14Jan 11, 2024Updated 2 years ago
- Code for AutoNL on ImageNet (CVPR2020)☆104May 16, 2020Updated 5 years ago
- ☆11Nov 8, 2022Updated 3 years ago
- 本书配套丰富的数字化学习资源和全套教辅资料,形成理论与实践并重的立体化教学体系。本书可作为大数据管理与应用、数据科学与大数据技术等相关专业的本科生或研究生教材,也可以作为大数据与人工智能等相关方向从业人员的自学书籍。☆20Mar 12, 2026Updated last week
- Machine Learning Course Materials, Tsinghua IIIS☆21Aug 6, 2018Updated 7 years ago
- Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by FunctionalRegularisation of Memorable Past"☆44Nov 10, 2020Updated 5 years ago
- Anatomically-aware Uncertainty for Semi-supervised Image Segmentation☆25Feb 18, 2024Updated 2 years ago
- [BMVC '21] DU-DARTS: Decreasing the Uncertainty of Differentiable Architecture Search☆13Nov 14, 2021Updated 4 years ago
- Pytorch Implementation of HybridNet: Classification and Reconstruction Cooperation for Semi-Supervised Learning (https://arxiv.org/abs/18…☆16Sep 11, 2018Updated 7 years ago
- ☆15Jun 19, 2024Updated last year
- A Framework for Evaluating AI Agent Safety in Realistic Environments☆30Oct 2, 2025Updated 5 months ago
- LSM: Learning Subspace Minimization for Low-Level Vision (CVPR'2020)☆45Jun 14, 2020Updated 5 years ago
- An enterprise deep research benchmark☆34Mar 11, 2026Updated last week
- AutoML framework balancing performance and complexity☆15May 9, 2021Updated 4 years ago