[NeurIPS 2023] A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm
☆56Jan 26, 2025Updated last year
Alternatives and similar repositories for unified-continual-learning
Users that are interested in unified-continual-learning are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [ICML 2023] Taxonomy-Structured Domain Adaptation☆12Oct 6, 2023Updated 3 years ago
- Official Repository for the ICML 2024 paper "Gradual Divergence for Seamless Adaptation: A Novel Domain Incremental Learning Method"☆17Sep 20, 2024Updated 2 years ago
- The reproduce of paper "Continual Vision-Language Representation Learning with Off-Diagonal Information ".(Mod-X)☆13Oct 31, 2023Updated 3 years ago
- [ECCV 2024] Versatile Incremental Learning: Towards Class and Domain-Agnostic Incremental Learning☆20Sep 23, 2024Updated 2 years ago
- ☆11Apr 8, 2024Updated 2 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.
- [ICLR 2023 (Spotlight)] Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation☆39Jan 13, 2024Updated 2 years ago
- ☆42May 24, 2024Updated 2 years ago
- Official implementation of MARIO: Model Agnostic Recipe for Improving OOD Generalization of Graph Contrastive Learning☆19Jan 27, 2024Updated 2 years ago
- An Extendible (General) Continual Learning Framework based on Pytorch - official codebase of Dark Experience for General Continual Learni…☆848May 20, 2026Updated 5 months ago
- [ICLR 2022] Graph-Relational Domain Adaptation☆46Apr 12, 2024Updated 2 years ago
- [ICLR 2026] TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning☆18Mar 19, 2026Updated 7 months ago
- This is the source code of F-OAL: Forward-only Online Analytic Learning with Fast Training and Low Memory Footprint in Class Incremental …☆11Oct 19, 2024Updated 2 years ago
- Official implementation of paper "GraphControl: Adding Conditional Control to Universal Graph Pre-trained Models for Graph Domain Transfe…☆18Jan 27, 2024Updated 2 years ago
- Code and documentation for T&E Metrics Framework☆15Jun 3, 2022Updated 4 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Pytorch implementation of iCaRL with some extras.☆16Nov 29, 2020Updated 5 years ago
- Code for CLVision workshop (CVPR 2024) paper - Calibrating Higher-Order Statistics for Few-Shot Class-Incremental Learning with Pre-train…☆10Nov 12, 2024Updated last year
- Code for NeurIPS 2022 paper “S-Prompts Learning with Pre-trained Transformers: An Occam’s Razor for Domain Incremental Learning“☆106Sep 26, 2024Updated 2 years ago
- Code for the paper "Mehta, S. V., Patil, D., Chandar, S., & Strubell, E. (2023). An Empirical Investigation of the Role of Pre-training i…☆18Mar 18, 2024Updated 2 years ago
- Code for "A Comprehensive Empirical Evaluation on Online Continual Learning" ICCVW 2023 VCL Workshop☆46Apr 8, 2024Updated 2 years ago
- [NAACL 2025 Oral] Multimodal Needle in a Haystack (MMNeedle): Benchmarking Long-Context Capability of Multimodal Large Language Models☆57Apr 22, 2026Updated 6 months ago
- Code implementation for paper "On the Efficacy of Small Self-Supervised Contrastive Models without Distillation Signals".☆17Dec 15, 2021Updated 4 years ago
- [CVPR2024] FCS: Feature Calibration and Separation for Non-Exemplar Class Incremental Learning☆20Apr 18, 2025Updated last year
- ☆89Jul 28, 2025Updated last year
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- S.-S. Young, Chia-Hsiang Lin, et al., “Unsupervised abundance matrix reconstruction transformer guided fractional attention mechanism for…☆20Oct 26, 2024Updated 2 years ago
- ☆17Aug 10, 2021Updated 5 years ago
- This is the implementation of Online Task-Free Continual Generative and Discriminative Learning via Dynamic Cluster Memory☆15Jul 28, 2024Updated 2 years ago
- The implementation code for Uncertainty-based Continual Learning with Adaptive Regularization (Neurips 2019)☆37May 25, 2021Updated 5 years ago
- ☆14Nov 4, 2022Updated 4 years ago
- Continual learning baselines and strategies from popular papers, using Avalanche. We include EWC, SI, GEM, AGEM, LwF, iCarl, GDumb, and o…☆356Feb 20, 2024Updated 2 years ago
- ☆23May 6, 2022Updated 4 years ago
- ☆21Apr 27, 2024Updated 2 years ago
- [ICCV-2023] Heterogeneous Forgetting Compensation for Class-Incremental Learning☆12Dec 4, 2023Updated 2 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- PyCIL: A Python Toolbox for Class-Incremental Learning☆1,120Jan 29, 2026Updated 9 months ago
- Official implementation of paper "Efficient Tuning and Inference for Large Language Models on Textual Graphs"☆39Jun 24, 2024Updated 2 years ago
- Code for 'RustGraph: Robust Anomaly Detection in Dynamic Graphs by Jointly Learning Structural-Temporal Dependency', IEEE TKDE☆13Dec 4, 2023Updated 2 years ago
- Resources and blogs, curated for learning, computer science, mathematics, data science, computer vision, natural language processing, and…☆26Jan 27, 2024Updated 2 years ago
- RanPAC: Random Projections and Pre-trained Models for Continual Learning - Official code repository for NeurIPS 2023 Published Paper☆61Feb 15, 2025Updated last year
- [ICLR 2025] "Noisy Test-Time Adaptation in Vision-Language Models"☆14Feb 22, 2025Updated last year
- PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Class…☆1,891Nov 5, 2025Updated last year