microsoft / robustlearnLinks
Robust machine learning for responsible AI
☆500Updated last year
Alternatives and similar repositories for robustlearn
Users that are interested in robustlearn are comparing it to the libraries listed below
Sorting:
- 30 Semi-Supervised Learning Algorithms☆212Updated last year
- NeurIPS'22 | TransTab: Learning Transferable Tabular Transformers Across Tables☆199Updated 6 months ago
- ☆165Updated 3 years ago
- PyContinual (An Easy and Extendible Framework for Continual Learning)☆317Updated last year
- The Official Repository for "Generalized OOD Detection: A Survey"☆456Updated 2 years ago
- A curated list of trustworthy deep learning papers. Daily updating...☆373Updated last month
- Code for coreset selection methods☆242Updated 2 years ago
- A curated list of papers and resources about the distribution shift in machine learning.☆121Updated 2 years ago
- A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. TPAMI, 2024.☆321Updated last week
- Code release of paper "ForkMerge: Mitigating Negative Transfer in Auxiliary-Task Learning" (NeurIPS 2023)☆17Updated last year
- This is a PyTorch reimplementation of Influence Functions from the ICML2017 best paper: Understanding Black-box Predictions via Influence…☆339Updated last year
- ☆67Updated 2 years ago
- 关于domain generalization,domain adaptation,causality,robutness,prompt,optimization,generative model各式各样研究的阅读笔记☆1,234Updated last year
- Papers about training data quality management for ML models.☆97Updated 2 months ago
- A repository for summaries of recent explainable AI/Interpretable ML approaches☆83Updated 11 months ago
- Code release for "LogME: Practical Assessment of Pre-trained Models for Transfer Learning" (ICML 2021) and Ranking and Tuning Pre-trained…☆208Updated last year
- Official repository for CVPR21 paper "Deep Stable Learning for Out-Of-Distribution Generalization".☆196Updated 3 years ago
- [NeurIPS 2023] Understanding and Improving Feature Learning for Out-of-Distribution Generalization☆30Updated 3 months ago
- GitHub Repo for ICLR 2023 Paper "Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks"☆59Updated 2 years ago
- ☆12Updated last year
- Large Language Models for Anomaly and Out-of-Distribution Detection☆107Updated last year
- Awesome coreset/core-set/subset/sample selection works.☆181Updated last year
- The official implementation of the paper "Data Contamination Calibration for Black-box LLMs" (ACL 2024)☆13Updated last year
- Awesome things about domain generalization, including papers, code, etc.☆478Updated 5 months ago
- [NeurIPS 2023] The official repo for the paper: "Time Series as Images: Vision Transformer for Irregularly Sampled Time Series"."☆153Updated last year
- Repository for research works and resources related to model reprogramming <https://arxiv.org/abs/2202.10629>☆61Updated last year
- BackTime: Backdoor Attacks on Multivariate Time Series Forecasting☆26Updated 5 months ago
- ☆138Updated 2 months ago
- [TKDD 2023] AdaTime: A Benchmarking Suite for Domain Adaptation on Time Series Data☆215Updated 2 years ago
- Code for ICML 2022 paper "Out-of-distribution Detection with Deep Nearest Neighbors"☆188Updated last year