BigML-CS-UCLA

Pinned Repositories

SpuCo
SpuCo is a Python package developed to further research to address spurious correlations.
Language:Jupyter Notebook207
RoCLIP
Robust Contrastive Language-Image Pretraining against Data Poisoning and Backdoor Attacks
Language:Python102
CREST
Towards Sustainable Learning: Coresets for Data-efficient Deep Learning
Language:Python91
sas-data-efficient-contrastive-learning
Official repository for SAS Data Efficient Contrastive Learning ICML '23
Language:Python92
clipcov-data-efficient-clip
Code for AISTATS Eff MML
Language:Jupyter Notebook70
CLIP-spurious-finetune
Mitigating Spurious Correlations in Multi-modal Models during Fine-tuning (ICML 2023)
Language:Python20
SPARE
The official code repository for "Identifying Spurious Biases Early in Training through the Lens of Simplicity Bias" at AISTATS'24
10
EPIC
The official code repository for "Not All Poisons are Created Equal: Robust Training against Data Poisoning", ICML 2022.
Language:Python00
HLCL
00
mkdt-data-distill-ssl
Official repository for "Dataset Distillation via Knowledge Distillation: Towards Efficient Self-Supervised Pre-training of Deep Networks" which presents the method MKDT.
00

BigML-CS-UCLA's Repositories

BigML-CS-UCLA/SpuCo
SpuCo is a Python package developed to further research to address spurious correlations.
Language:Jupyter Notebook207
BigML-CS-UCLA/sas-data-efficient-contrastive-learning
Official repository for SAS Data Efficient Contrastive Learning ICML '23
Language:Python92
BigML-CS-UCLA/SafeCLIP
Language:Python
BigML-CS-UCLA/SpuCo_SUN_Yihao
Yihao's fork of SpuCo
Language:Jupyter Notebook
BigML-CS-UCLA/HLCL
BigML-CS-UCLA/clipcov-data-efficient-clip
Code for AISTATS Eff MML
Language:Jupyter Notebook7
BigML-CS-UCLA/mkdt-data-distill-ssl
Official repository for "Dataset Distillation via Knowledge Distillation: Towards Efficient Self-Supervised Pre-training of Deep Networks" which presents the method MKDT.
BigML-CS-UCLA/SPARE
The official code repository for "Identifying Spurious Biases Early in Training through the Lens of Simplicity Bias" at AISTATS'24
1
BigML-CS-UCLA/RoCLIP
Robust Contrastive Language-Image Pretraining against Data Poisoning and Backdoor Attacks
Language:Python102
BigML-CS-UCLA/CLIP-spurious-finetune
Mitigating Spurious Correlations in Multi-modal Models during Fine-tuning (ICML 2023)
2
BigML-CS-UCLA/CREST
Towards Sustainable Learning: Coresets for Data-efficient Deep Learning
91
BigML-CS-UCLA/EPIC
The official code repository for "Not All Poisons are Created Equal: Robust Training against Data Poisoning", ICML 2022.