Fengwei Zhou
11 papers · 2021–2023 · 6 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π Renaissance Researcher (5) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (29) π§ Keyword Pioneer
π
Conference Polyglot
(6)
π
Grand Slam
π€
Dynamic Duo
(10)
β‘
Prolific Year
(5)
π
Century Club
(11)
Conferences
AAAI (4)
ICCV (2)
NIPS (2)
CVPR (1)
ICLR (1)
ICML (1)
Top co-authors
Keywords
out-of-distribution generalization
(6)
domain generalization
(4)
model ensemble
(2)
feature disentanglement
(2)
data augmentation
(2)
adversarial robustness
(2)
pretrained model
(2)
representation learning
(2)
distribution shift
(2)
transfer learning
(1)
knowledge distillation
(1)
variational inference
(1)
policy learning
(1)
neural architecture search
(1)
model calibration
(1)
neural network optimization
(1)
feature selection
(1)
image compression
(1)
density estimation
(1)
adversarial training
(1)
Papers
Explore and Exploit the Diverse Knowledge in Model Zoo for Domain Generalization
ICML 2023
DAMix: Exploiting Deep Autoregressive Model Zoo for Improving Lossless Compression Generalization
AAAI 2023
Fair-CDA: Continuous and Directional Augmentation for Group Fairness
AAAI 2023
Your Contrastive Learning Is Secretly Doing Stochastic Neighbor Embedding
ICLR 2023
OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization
CVPR 2022
ZooD: Exploiting Model Zoo for Out-of-Distribution Generalization
NIPS 2022
NAS-OoD: Neural Architecture Search for Out-of-Distribution Generalization
ICCV 2021
DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation
AAAI 2021
MetaAugment: Sample-Aware Data Augmentation Policy Learning
AAAI 2021
Adversarial Robustness for Unsupervised Domain Adaptation
ICCV 2021
MixACM: Mixup-Based Robustness Transfer via Distillation of Activated Channel Maps
NIPS 2021