David Bau
34 papers
· 2017–2026
· 10 conferences
· across top CS/AI conferences
Achievements
π
Academic Marathon
(9)
π£
Hot Topic Early Bird
πΊοΈ
Taxonomy Completionist
(33)
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Renaissance Researcher
(5)
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Interdisciplinary Bridge
π§
Keyword Pioneer
π
Cross-Pollinator
(8)
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Conference Polyglot
(10)
π₯
Mega-Team
(23)
π€
Dynamic Duo
(13)
π¬
Deep Specialist
(10)
π§¬
Topic Evolution
π
Keyword Champion
(2)
β
The Questioner
π
Trend Setter
ποΈ
Keyword Collector
(95)
π₯
Unstoppable
(10)
β‘
Prolific Year
(7)
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Century Club
(34)
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Conference Pioneer
Conferences
ICLR (9)
ICCV (5)
CVPR (4)
ECCV (4)
NIPS (4)
EMNLP (3)
WACV (2)
ACL (1)
CONLL (1)
ICML (1)
Top co-authors
Keywords
language model
(5)
generative adversarial network
(4)
diffusion model
(4)
causal intervention
(3)
image generation
(3)
large language model
(2)
latent space
(2)
token prediction
(2)
language model interpretability
(2)
model editing
(2)
mechanistic interpretability
(2)
representation learning
(2)
mode collapse
(2)
image synthesis
(1)
feature embedding
(1)
visual processing
(1)
content moderation
(1)
named entity recognition
(1)
feature extraction
(1)
semantic segmentation
(1)
Papers
Mass-Editing Memory in a Transformer
ICLR 2023
Erasing Concepts from Diffusion Models
ICCV 2023
Sketch Your Own GAN
ICCV 2021
Rewriting a Deep Generative Model
ECCV 2020
Learning Words by Drawing Images
CVPR 2019
Seeing What a GAN Cannot Generate
ICCV 2019