15 results found Sort:

thuml
Transfer-Learning-Library thuml
558
3.4k
mit
49
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 8 months ago
huytransformer
Awesome-Out-Of-Distribution-Detection huytransformer
67
815
cc0-1.0
37
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
ood awesome open-world robustness awesome-list ood-detection anomaly-detection novelty-detection outlier-detection distribution-shift ood-generalization openset-recognition out-of-distribution open-set-recognition out-of-distribution-detection out-of-distribution-generalization
Created 2023-08-07
77 commits to main branch, last one 6 hours ago
MinghuiChen43
awesome-trustworthy-deep-learning MinghuiChen43
34
345
mit
13
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
636 commits to master branch, last one a day ago
divelab
GOOD divelab
19
188
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
225 commits to GOODv1 branch, last one 12 days ago
THUMNLab
awesome-graph-ood THUMNLab
9
156
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
11
102
mit
4
[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 about a year ago
qitianwu
GraphOOD-EERM qitianwu
9
82
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
7
79
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 9 months ago
qitianwu
GraphOOD-GNNSafe qitianwu
5
73
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 about a year ago
yangnianzu0515
MoleOOD yangnianzu0515
6
60
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
xuanlinli17
large_vlm_distillation_ood xuanlinli17
4
54
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 7 months ago
LFhase
PAIR LFhase
4
50
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 7 months ago
kdhht2334
ELIM_FER kdhht2334
4
36
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 11 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
mala-lab
ADShift mala-lab
4
26
unknown
1
Official PyTorch implementation of the ICCV'23 paper “Anomaly Detection under Distribution Shift”
anomaly-detection distribution-shift image-anomaly-detection out-of-distribution-generalization
Created 2023-03-22
24 commits to main branch, last one about a year ago