rux001 / Awesome-LLM-Anomaly-OOD-DetectionLinks
Large Language Models for Anomaly and Out-of-Distribution Detection
☆95Updated 10 months ago
Alternatives and similar repositories for Awesome-LLM-Anomaly-OOD-Detection
Users that are interested in Awesome-LLM-Anomaly-OOD-Detection are comparing it to the libraries listed below
Sorting:
- [NeurIPS 2024, spotlight] Scaling Out-of-Distribution Detection for Multiple Modalities☆63Updated 2 months ago
- A curated list of Continual Learning papers and BibTeX entries☆188Updated 9 months ago
- [NeurIPS 2023] Understanding and Improving Feature Learning for Out-of-Distribution Generalization☆30Updated 2 months ago
- A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. TPAMI, 2024.☆318Updated this week
- A paper list of our recent survey on continual learning, and other useful resources in this field.☆85Updated last year
- A Collection of Resources for Weakly-supervised Anomaly Detection (WSAD)☆171Updated 5 months ago
- OOD Generalization相关文章的阅读笔记☆31Updated 8 months ago
- ☆323Updated last month
- Paper of out of distribution detection and generalization☆56Updated last year
- ☆136Updated 8 months ago
- Data Optimization in Deep Learning: A Survey☆19Updated last year
- A curated list of anomaly detection with large language model, visual large model and graph foundation model papers & resources☆50Updated 3 weeks ago
- A curated list of awesome Mix☆71Updated 2 years ago
- [KDD2024] Class-incremental Learning for Time Series: Benchmark and Evaluation☆54Updated last year
- [TPAMI in submission] Resource Summary for paper "Unveiling the Unseen: A Comprehensive Survey on Explainable Anomaly Detection in Images…☆31Updated 3 months ago
- Official website for "Continual Learning on Graphs: Challenges, Solutions, and Opportunities"☆50Updated last year
- A benchmark for anomaly detection using large language models. It supports zero-shot detection, data augmentation, and model selection, w…☆28Updated 7 months ago
- [Survey] Awesome List of Mixup Augmentation and Beyond (https://arxiv.org/abs/2409.05202)☆153Updated 9 months ago
- Reliable Conflictive Multi-view Learning☆85Updated last year
- Papers about training data quality management for ML models.☆92Updated last month
- ☆29Updated 2 years ago
- A list of papers that studies out-of-distribution (OOD) detection and misclassification detection (MisD)☆50Updated last year
- The Official Repository for "Generalized OOD Detection: A Survey"☆456Updated 2 years ago
- The collection of diffusion models for anomaly detection, a survey paper submitted to IJCAI 2025.☆45Updated last month
- Awesome Learn From Model Beyond Fine-Tuning: A Survey☆70Updated 7 months ago
- [ICML 2023] On Pitfalls of Test-Time Adaptation☆121Updated last year
- [NeurIPS 2023] A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm☆45Updated 6 months ago
- The official implementation of our work CoSDA: Continual Source-Free Domain Adaptation.☆43Updated last year
- AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR, 2024.☆88Updated 9 months ago
- Knowledge Amalgamation, Multi-teacher KD, Ensemble KD☆11Updated 3 years ago