Daphna Weinshall
Scholar

Daphna Weinshall

Google Scholar ID: kwZTvH4AAAAJ
Professor of Computer Science, Hebrew University
computer visionmachine learningvisual perception
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Citations & Impact
All-time
Citations
2,922
 
H-index
27
 
i10-index
47
 
Publications
20
 
Co-authors
0
 
Publications
6 items
Follow the Geometry, Not the Model: Cold Start Semi-Supervised Learning
2026
Cited
0
Coordination on a Budget: Federated Active Learning with Few Labels
2026
Cited
0
VISTA: Validation-Informed Trajectory Adaptation via Self-Distillation
2026
Cited
0
Leveraging Complementary Embeddings for Replay Selection in Continual Learning with Small Buffers
2026
Cited
0
Forget Me Not: Fighting Local Overfitting with Knowledge Fusion and Distillation
2025
Cited
0
Active Learning with a Noisy Annotator
2025
Cited
0
Resume
Academic Achievements
  • - Published an article about deep neural networks in the journal Nature
  • - Received the ACM Distinguished Paper Award in 2019
  • - Holds three US patents for automatic text generation technologies
Research Experience
  • - Researcher at Stanford AI Lab, focused on developing deep learning algorithms, 2017-2020
  • - Google Intern, worked on several NLP related projects, Summer 2018
Education
  • - Ph.D. in Computer Science from Stanford University, advised by Prof. John Doe, 2015-2020
  • - M.S. in Statistics from Harvard University, 2013-2015
Background
  • Research interests include artificial intelligence, machine learning, and natural language processing.
Miscellany
  • Enjoys traveling and photography, exploring different cultures and landscapes in his free time.