Awesome-open-world-learning
☆26Oct 19, 2021Updated 4 years ago
Alternatives and similar repositories for Awesome-open-world-learning
Users that are interested in Awesome-open-world-learning are comparing it to the libraries listed below
Sorting:
- Reproducing experimental results of OOD-by-MCD [Yu and Aizawa et al. ICCV 2019]☆30Dec 8, 2019Updated 6 years ago
- ☆10Jul 11, 2022Updated 3 years ago
- The official PyTorch Implementation of "NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation (NeurIPS '22)"☆50Dec 21, 2023Updated 2 years ago
- Implementation of the OS-ROCKET algorithm for open set recognition for time series classifciation☆10Nov 21, 2021Updated 4 years ago
- ECHO is a semi-supervised framework for classifying evolving data streams based on our previous approach SAND. The most expensive module …☆12Dec 25, 2017Updated 8 years ago
- Background resampling for out-of-distribution detection☆13Mar 27, 2020Updated 5 years ago
- source code for ICLR'24 paper "How does unlabeled data provably help OOD detection?"☆13Feb 1, 2024Updated 2 years ago
- The code repository for "Task-Agnostic Guided Feature Expansion for Class-Incremental Learning" (CVPR25)☆25Dec 31, 2025Updated 2 months ago
- Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning （CVPR 2025）☆33Jan 28, 2026Updated last month
- ECCV24, NeurIPS24, Benchmarking Generalized Out-of-Distribution Detection with Vision-Language Models☆29Jan 25, 2026Updated last month
- ☆26Feb 2, 2023Updated 3 years ago
- This repository is the official implementation of the aaai2022 paper "Zero-Shot Out-of-Distribution Detection Based on the Pre-trained Mo…☆21Sep 6, 2023Updated 2 years ago
- Code for "Multi-Task Curriculum Framework for Open-Set Semi-Supervised Learning"☆25Jul 23, 2020Updated 5 years ago
- This is the code of paper ``Contrastive Coding for Active Learning under Class Distribution Mismatch'' with python.☆28Jan 5, 2023Updated 3 years ago
- Data Valuation without Training of a Model, submitted to ICLR'23☆22Dec 30, 2022Updated 3 years ago
- ☆11Jan 2, 2026Updated 2 months ago
- ☆13Aug 5, 2024Updated last year
- [ICCV2023] - CTP: Towards Vision-Language Continual Pretraining via Compatible Momentum Contrast and Topology Preservation☆38Oct 8, 2024Updated last year
- Pytorch Code for "A Broad Study on the Transferability of Visual Representations with Contrastive Learning" (ICCV 2021)☆36Mar 14, 2022Updated 3 years ago
- "OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning" by Mamshad Nayeem Rizve, Navid Kardan, Salman Khan,…☆36Mar 14, 2023Updated 2 years ago
- [AAAI 2023] Generalized Category Discovery with Decoupled Prototypical Network☆35Jun 22, 2024Updated last year
- Official Implementation of VarDrop(AAAI25)☆20Oct 23, 2025Updated 4 months ago
- FedDCT: A Novel Federated Learning Approach for Training Large Convolutional Neural Networks☆42Sep 19, 2023Updated 2 years ago
- [NeurIPS 2023] "Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation"☆11Oct 6, 2023Updated 2 years ago
- Repository for AAAI 2024 paper "Manifold-based Verbalizer Space Re-embedding for Tuning-free Prompt-based Classification"☆10Feb 6, 2024Updated 2 years ago
- Code for "Thinking Forward: Memory-Efficient Federated Finetuning of Language Models" (NeurIPS 2024). Spry is a federated learning al…☆12Oct 8, 2024Updated last year
- Code for AAAI 2021 long paper Learning from Crowds by Modeling Common Confusions.☆11Feb 6, 2021Updated 5 years ago
- Official Implementation for paper "Pretraining A Large Language Model using Distributed GPUs: A Memory-Efficient Decentralized Paradigm"☆20Feb 20, 2026Updated 2 weeks ago
- ☆10Nov 8, 2023Updated 2 years ago
- ☆11Jul 3, 2022Updated 3 years ago
- ☆12Feb 19, 2025Updated last year
- ☆12Aug 9, 2022Updated 3 years ago
- Reimplementation of VFDT and EFDT. Our codebase is simple, concise, easy to reproduce with strong performances.☆10Feb 1, 2021Updated 5 years ago
- Federated Conformal Prediction with Quantile-of-Quantiles (FedCP-QQ)☆11Aug 16, 2023Updated 2 years ago
- A Neural Two-Stage Approach for Recognizing Discontiguous Entities (EMNLP 2019)☆11Aug 27, 2019Updated 6 years ago
- [ICML 2025] Official PyTorch implementation of "NegMerge: Sign-Consensual Weight Merging for Machine Unlearning"☆14Nov 25, 2025Updated 3 months ago
- ☆11Jul 4, 2024Updated last year
- Contrastive Continual Learning with Importance Sampling and Prototype-Instance Relation Distillation☆12Jul 22, 2024Updated last year
- ☆10Sep 13, 2022Updated 3 years ago