Coresets via Bilevel Optimization
☆68Nov 2, 2020Updated 5 years ago
Alternatives and similar repositories for bilevel_coresets
Users that are interested in bilevel_coresets are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Coresets☆38Apr 24, 2022Updated 3 years ago
- Reduce end to end training time from days to hours (or hours to minutes), and energy requirements/costs by an order of magnitude using co…☆348May 24, 2023Updated 2 years ago
- A Continual Learning Library in PyTorch and JAX☆13Apr 18, 2023Updated 3 years ago
- Original PyTorch implementation of Uncertainty-guided Continual Learning with Bayesian Neural Networks, ICLR 2020☆76Jun 15, 2021Updated 4 years ago
- Code for coreset selection methods☆253Feb 27, 2023Updated 3 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Code for Generalization Guarantees for (Multi-Modal) Imitation Learning☆11Jul 14, 2022Updated 3 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
- CL-Gym: Full-Featured PyTorch Library for Continual Learning☆40Jan 20, 2024Updated 2 years ago
- ☆15Nov 23, 2023Updated 2 years ago
- Pytorch implementation for "The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction"☆33Sep 9, 2022Updated 3 years ago
- This is the official code of the paper "Continual Interactive Behavior Learning With Scenarios Divergence Measurement: A Dynamic Gradient…☆17Jan 13, 2025Updated last year
- Official implementation of the Averaged Gradient Episodic Memory (A-GEM) in Tensorflow☆207Oct 12, 2021Updated 4 years ago
- ICLR 2022 (Spolight): Continual Learning With Filter Atom Swapping☆16Jul 5, 2023Updated 2 years ago
- Automatic Recall Machines: Internal Replay, Continual Learning and the Brain☆11Jul 14, 2020Updated 5 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Functional Regularisation for Continual Learning with Gaussian Processes☆15Oct 24, 2020Updated 5 years ago
- Code repository for the AISTATS 2021 paper "Towards Understanding the Optimal Behaviors of Deep Active Learning Algorithms"☆14Mar 20, 2021Updated 5 years ago
- Unofficial PyTorch implementation of the paper "Conditional Channel Gated Networks for Task-Aware Continual Learning"☆20Jan 22, 2021Updated 5 years ago
- ☆126Jun 3, 2024Updated last year
- PyTorch code for our CoLLAs-2022 paper "Online Continual Learning for Embedded Devices"☆13Aug 4, 2022Updated 3 years ago
- Variance Covariance Regularization☆14Jun 22, 2023Updated 2 years ago
- Official PyTorch implementation of "Loss-Curvature Matching for Dataset Selection and Condensation" (AISTATS 2023)☆22Mar 14, 2023Updated 3 years ago
- Analysis of evidential models☆15Jun 22, 2023Updated 2 years ago
- ☆11Oct 11, 2023Updated 2 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- [ICML 2021] "Efficient Lottery Ticket Finding: Less Data is More" by Zhenyu Zhang*, Xuxi Chen*, Tianlong Chen*, Zhangyang Wang☆26Dec 30, 2021Updated 4 years ago
- Bayesian Optimization for Categorical and Continuous Inputs☆21Jul 20, 2020Updated 5 years ago
- The code for the paper "Spatio-Temporal Structured Sparse Regression With Hierarchical Gaussian Process Priors" by Danil Kuzin, Olga Isup…☆13Nov 19, 2018Updated 7 years ago
- IIRC: Incremental Implicitly Refined Classification☆30Dec 15, 2022Updated 3 years ago
- Code for CVPR paper: Computationally Budgeted Continual Learning: What Does Matter?☆17Mar 16, 2024Updated 2 years ago
- Weighted Training for Cross-Task Learning☆15Feb 12, 2023Updated 3 years ago
- ☆38Nov 4, 2024Updated last year
- 📴 OffCon^3: SOTA PyTorch SAC and TD3 Implementations (arxiv: 2101.11331)☆25Jun 20, 2021Updated 4 years ago
- [TPAMI-2023] Official implementations of L-MCL: Online Knowledge Distillation via Mutual Contrastive Learning for Visual Recognition☆27Jul 14, 2023Updated 2 years ago
- Deploy open-source AI quickly and easily - Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- An evaluation framework for mitigating DNN backdoor attacks using data augmentations☆11Dec 10, 2020Updated 5 years ago
- Source code for "Gradient Based Memory Editing for Task-Free Continual Learning", 4th Lifelong ML Workshop@ICML 2020☆17Dec 8, 2022Updated 3 years ago
- Code for the ICLR2022 paper on Subspace Regularization for few-shot class incremental image classification☆29May 27, 2023Updated 2 years ago
- ☆11Jan 16, 2020Updated 6 years ago
- Variational Adversarial Active Learning (ICCV 2019)☆232Jul 6, 2023Updated 2 years ago
- Code for `BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery`, Neurips 2021☆28Oct 26, 2021Updated 4 years ago
- ☆18Oct 12, 2022Updated 3 years ago