14 results found Sort:

thuml
Transfer-Learning-Library thuml
542
3.2k
mit
47
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
dann finetune deep-learning self-training domain-adaptation image-translation transfer-learning adversarial-learning semi-supervised-learning unsupervised-domain-adaptation out-of-distribution-generalization
Created 2020-02-14
728 commits to master branch, last one 2 months ago
huytransformer
Awesome-Out-Of-Distribution-Detection huytransformer
58
564
cc0-1.0
34
A professionally curated list of papers, tutorials, books, videos, articles and open-source libraries etc for Out-of-distribution detection, robustness, and generalization
ood awesome open-world robustness awesome-list ood-detection distribution-shift ood-generalization out-of-distribution out-of-distribution-detection out-of-distribution-generalization
Created 2023-08-07
63 commits to main branch, last one about a month ago
MinghuiChen43
awesome-trustworthy-deep-learning MinghuiChen43
32
291
mit
12
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
594 commits to master branch, last one a day ago
divelab
GOOD divelab
19
176
gpl-3.0
3
GOOD: A Graph Out-of-Distribution Benchmark [NeurIPS 2022 Datasets and Benchmarks]
pytorch graph-ood deep-learning pytorch-geometric distribution-shift invariant-learning graph-neural-networks out-of-distribution-generalization
Created 2022-06-05
222 commits to GOODv1 branch, last one 2 months ago
THUMNLab
awesome-graph-ood THUMNLab
9
144
mit
10
Papers about out-of-distribution generalization on graphs.
graph-mining deep-learning machine-learning graph-neural-networks out-of-distribution-generalization
Created 2022-10-06
3 commits to master branch, last one about a year ago
LFhase
CIGA LFhase
10
93
mit
3
[NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs
drug-discovery causal-inference distribution-shift invariant-learning graph-neural-networks graph-representation-learning causal-representation-learning out-of-distribution-generalization
Created 2022-10-06
30 commits to main branch, last one 9 months ago
qitianwu
GraphOOD-EERM qitianwu
9
74
unknown
3
The official implementation for ICLR22 paper "Handling Distribution Shifts on Graphs: An Invariance Perspective"
pytorch causal-models graph-neural-networks out-of-distribution-generalization
Created 2022-03-06
22 commits to main branch, last one about a year ago
pauljblazek
deepdistilling pauljblazek
6
71
other
4
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 ...
distilling interpretable neurosymbolic explainable-ai domain-adaptation program-synthesis model-distillation knowledge-distillation inductive-logic-programming mechanistic-interpretability out-of-distribution-generalization
Created 2024-01-13
5 commits to main branch, last one 3 months ago
qitianwu
GraphOOD-GNNSafe qitianwu
4
68
unknown
4
The official implementation for ICLR23 paper "GNNSafe: Energy-based Out-of-Distribution Detection for Graph Neural Networks"
pytorch large-graph deep-learning trustworthy-ai anamoly-detection label-propagation outlier-detection pytorch-geometric distribution-shift node-classification graph-neural-networks artificial-intelligence geometric-deep-learning out-of-distribution-detection out-of-distribution-generalization
Created 2023-01-24
15 commits to main branch, last one 10 months ago
yangnianzu0515
MoleOOD yangnianzu0515
6
53
mit
2
Official implementation for the paper "Learning Substructure Invariance for Out-of-Distribution Molecular Representations" (NeurIPS 2022).
pytorch graph-classification molecule-representation-learning out-of-distribution-generalization
Created 2022-11-01
10 commits to master branch, last one about a year ago
LFhase
PAIR LFhase
3
47
mit
1
[ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization
optimization model-selection causal-inference invariant-learning domain-generalization multi-objective-optimization out-of-distribution-generalization
Created 2023-02-17
25 commits to main branch, last one about a month ago
xuanlinli17
large_vlm_distillation_ood xuanlinli17
3
42
mit
1
Distilling Large Vision-Language Model with Out-of-Distribution Generalizability (ICCV 2023)
deep-learning open-vocabulary machine-learning few-shot-learning zero-shot-learning out-of-distribution out-of-distribution-generalization
Created 2023-06-14
18 commits to main branch, last one about a month ago
kdhht2334
ELIM_FER kdhht2334
3
34
mit
1
[NeurIPS 2022] The official repository of Expression Learning with Identity Matching for Facial Expression Recognition
pytorch domain-shift real-time-demo valence-arousal optimal-transport facial-expressions feature-normalization human-computer-interaction facial-expression-recognition out-of-distribution-generalization
Created 2022-09-18
24 commits to main branch, last one 6 months ago
joffery
TRO joffery
1
30
unknown
2
The Pytorch implementation for "Topology-aware Robust Optimization for Out-of-Distribution Generalization" (ICLR 2023)
out-of-distribution-generalization distributionally-robust-optimization
Created 2023-01-20
14 commits to main branch, last one about a year ago