☆38Nov 4, 2024Updated last year
Alternatives and similar repositories for learning_where_to_learn
Users that are interested in learning_where_to_learn are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code accompanying the paper "A contrastive rule for meta-learning"☆13Oct 31, 2024Updated last year
- Official Code Repository for La-MAML: Look-Ahead Meta-Learning for Continual Learning"☆82Dec 16, 2020Updated 5 years ago
- ☆29Oct 20, 2021Updated 4 years ago
- CL-Gym: Full-Featured PyTorch Library for Continual Learning☆42Jan 20, 2024Updated 2 years ago
- Codebase used in the paper "Foundational Models for Continual Learning: An Empirical Study of Latent Replay".☆29Jan 24, 2023Updated 3 years ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- Pytorch implementation of "Large-Scale Meta-Learning with Continual Trajectory Shifting" (ICML 2021)☆19Jul 22, 2021Updated 5 years ago
- Code for the ICLR2022 paper on Subspace Regularization for few-shot class incremental image classification☆29May 27, 2023Updated 3 years ago
- This repositorie es the code of the paper Optimizing Reusable Knowledge for Continual Learning via Metalearning.☆11Oct 12, 2021Updated 4 years ago
- Codebase for the paper titled "Continual learning with local module selection"☆26Nov 15, 2021Updated 4 years ago
- Meta-Learning with Warped Gradient Descent☆92Mar 5, 2021Updated 5 years ago
- Code for the paper "Training CNNs with Selective Allocation of Channels" (ICML 2019)☆25May 14, 2019Updated 7 years ago
- AFEC: Active Forgetting of Negative Transfer in Continual Learning (NeurIPS 2021)☆28Sep 26, 2023Updated 2 years ago
- ☆11Aug 26, 2023Updated 2 years ago
- A incomplete survey for Split Learning (comprehensive enough) and Federated Learning (only most representative works)☆20Mar 8, 2022Updated 4 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- ☆15Oct 6, 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
- A Continual Multi-agent RL testbed based on Hanabi☆31Aug 1, 2021Updated 5 years ago
- A Meta-Learning Approach for Few-Shot Anomaly Detection and One-Class Classification☆37Jan 12, 2022Updated 4 years ago
- PyTorch code for our CoLLAs-2022 paper "Online Continual Learning for Embedded Devices"☆13Aug 4, 2022Updated 4 years ago
- Co^2L: Contrastive Continual Learning (ICCV2021)☆101Mar 30, 2022Updated 4 years ago
- This repository contains all necessary scripts for project of team 8☆23Sep 23, 2021Updated 4 years ago
- Official codebase of the "Rehearsal revealed:The limits and merits of revisiting samples in continual learning" paper.☆29Oct 20, 2021Updated 4 years ago
- ☆16Apr 9, 2021Updated 5 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Provable Worst Case Guarantees for the Detection of Out-of-Distribution Data☆13Sep 20, 2022Updated 3 years ago
- flexible meta-learning in jax☆16Oct 19, 2023Updated 2 years ago
- Official repository for Do Pre-trained Models Benefit Equally in Continual Learning? (Accepted to WACV'23)☆26Oct 20, 2024Updated last year
- The Research Tree - A playground for research at the intersection of Continual, Reinforcement, and Self-Supervised Learning.☆202May 30, 2023Updated 3 years ago
- PyTorch implementation of "How to Train Your MAML to Excel in Few-Shot Classification"☆45Jun 29, 2024Updated 2 years ago
- [NeurIPS‘2021] "MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge", Geng Yuan, Xiaolong Ma, Yanzhi Wang et al…☆18Mar 16, 2022Updated 4 years ago
- ☆17Mar 24, 2026Updated 4 months ago
- Efficient solution to the initialization selection of DNNs in transfer learning using duality diagrams as a similarity measure framework.☆10Nov 17, 2020Updated 5 years ago
- Source code for NeurIPS 2020 paper "Meta-Learning with Adaptive Hyperparameters"☆90Jul 20, 2022Updated 4 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- ☆30Aug 8, 2021Updated 5 years ago
- Object-aware Contrastive Learning for Debiased Scene Representation (NeurIPS 2021)☆45Oct 25, 2021Updated 4 years ago
- Implementation of the article Online Structured Laplace Approximations For Overcoming Catastrophic Forgetting (https://arxiv.org/pdf/1805…☆10Feb 1, 2019Updated 7 years ago
- Minimal A2C/A3C example of an LSTM-based meta-learner.☆13Feb 2, 2021Updated 5 years ago
- Meta-Learning with Self-Improving Momentum Target (NeurIPS 2022)☆23Oct 12, 2022Updated 3 years ago
- Codebase for Context-aware Meta-learned Loss Scaling (CaMeLS). https://arxiv.org/abs/2305.15076.☆26Jan 23, 2024Updated 2 years ago
- ICLR 2022 (Spolight): Continual Learning With Filter Atom Swapping☆16Jul 5, 2023Updated 3 years ago