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Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
Created
2020-02-14
728 commits to master branch, last one 9 months ago
Out-of-distribution detection, robustness, and generalization resources. The repository contains a curated list of papers, tutorials, books, videos, articles and open-source libraries etc
anomaly
awesome
open-set
open-world
robustness
awesome-lists
ood-detection
ood-robustness
anomaly-detection
novelty-detection
outlier-detection
ood-generalization
distribution-shifts
open-world-learning
out-of-distribution
open-set-recognition
out-of-distribution-detection
out-of-distribution-robustness
out-of-distribution-generalization
Created
2023-08-07
77 commits to main branch, last one about a month ago
A curated list of trustworthy deep learning papers. Daily updating...
privacy
backdoor
fairness
green-ai
security
causality
ownership
poisoning
robustness
uncertainty
ai-alignment
watermarking
deep-learning
hallucinations
gradient-leakage
machine-unlearning
interpretable-deep-learning
membership-inference-attack
adversarial-machine-learning
out-of-distribution-generalization
Created
2020-07-19
646 commits to master branch, last one a day ago
GOOD: A Graph Out-of-Distribution Benchmark [NeurIPS 2022 Datasets and Benchmarks]
Created
2022-06-05
225 commits to GOODv1 branch, last one about a month ago
Papers about out-of-distribution generalization on graphs.
Created
2022-10-06
3 commits to master branch, last one 2 years ago
[NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs
Created
2022-10-06
30 commits to main branch, last one about a year ago
Mechanistically interpretable neurosymbolic AI (Nature Comput Sci 2024): losslessly compressing NNs to computer code and discovering new algorithms which generalize out-of-distribution and outperform ...
Created
2024-01-13
5 commits to main branch, last one 10 months ago
The official implementation for ICLR22 paper "Handling Distribution Shifts on Graphs: An Invariance Perspective"
Created
2022-03-06
22 commits to main branch, last one 2 years ago
The official implementation for ICLR23 paper "GNNSafe: Energy-based Out-of-Distribution Detection for Graph Neural Networks"
Created
2023-01-24
15 commits to main branch, last one about a year ago
Official implementation for the paper "Learning Substructure Invariance for Out-of-Distribution Molecular Representations" (NeurIPS 2022).
Created
2022-11-01
10 commits to master branch, last one about a year ago
Distilling Large Vision-Language Model with Out-of-Distribution Generalizability (ICCV 2023)
Created
2023-06-14
18 commits to main branch, last one 8 months ago
[ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization
Created
2023-02-17
25 commits to main branch, last one 8 months ago
[NeurIPS 2022] The official repository of Expression Learning with Identity Matching for Facial Expression Recognition
Created
2022-09-18
24 commits to main branch, last one about a year ago
The Pytorch implementation for "Topology-aware Robust Optimization for Out-of-Distribution Generalization" (ICLR 2023)
Created
2023-01-20
14 commits to main branch, last one about a year ago
Official PyTorch implementation of the ICCV'23 paper “Anomaly Detection under Distribution Shift”
Created
2023-03-22
24 commits to main branch, last one about a year ago
[NeurIPS 2023] Understanding and Improving Feature Learning for Out-of-Distribution Generalization
Created
2023-10-30
8 commits to main branch, last one 6 months ago