AI Paper Atlas

Research map / Label-efficient and robust learning / Knowledge distillation

Adversarial Teacher-Student Representation Learning for Domain Generalization

NeurIPS 2021 · Label-efficient and robust learning › Knowledge distillation · approach: Teacher properties and robustness · 20 citations (OpenAlex)

Read the paperCheck your idea against 108,967 papers

AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.

Measured effects reported in the paper

What was changedWhereMeasuredEffect
replace hand-crafted random augmentation with learned adversarial novel-domain augmenter (ablation)Ours · PACS ResNet-50 avgtop-1 accuracy (%): 82.8 -> 88.1Helped
replace jigsaw puzzle with learned augmenter (ablation)Ours · PACS ResNet-50 avgtop-1 accuracy (%): 85.5 -> 88.1Helped
teacher-student with EMA teacher instead of Siamese shared-parameter architecture (ablation)Ours · PACS ResNet-50 avgtop-1 accuracy (%): 85.8 -> 88.1Helped
deploy EMA teacher instead of student (ablation)Ours · PACS ResNet-50 avgtop-1 accuracy (%): 86.0 -> 88.1Helped
update teacher with EMA while training student (vs fixed teacher) (ablation)student network · PACS ResNet-50 avgtop-1 accuracy (%): 84.9 -> 86.0Helped
increase EMA momentum tau from 0.9 to 0.999 (ablation)Ours · Office-Home ResNet-50 avgtop-1 accuracy (%): 70.6 -> 73.3Helped
use proposed method instead of MixStylePACS ResNet-18 · PACS avgtop-1 accuracy (%): 83.7 -> 85.3Helped
use proposed method instead of DeepAll in single-source DGResNet-50 · Single-source DomainNet avgtop-1 accuracy (%): 24.1 -> 34.1Helped

Closest papers by meaning

Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.

Open scime draft

Get the next scime Dispatch and a monthly field update

Free. We send a confirmation link first; every email has a one-click unsubscribe. Privacy