← Authors

Daphna Weinshall

22 papers · 2005–2025 · 7 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (12) 🌈 Renaissance Researcher (7) πŸ—ΊοΈ Taxonomy Completionist (13) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (7) πŸƒ Academic Marathon (20) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌟 Keyword Trendsetter Combo (5) πŸ† Keyword Champion 🌱 Topic Pioneer πŸ’Ž Century Club (22) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (111)

Conferences

ICML (7) NIPS (5) JMLR (4) AAAI (2) EMNLP (2) ACL (1) CVPR (1)

Top co-authors

Guy Hacohen (7) Gal Chechik (3) Uri Shalit (3) Haim Dubossarsky (2) Alon Zweig (2) Leshem Choshen (2) Avihu Dekel (2) Gad Cohen (2) Eitan Grossman (2) Uri Stern (2)

Keywords

deep neural network (4) representation learning (3) transfer learning (3) online learning (3) curriculum learning (3) convergence rate (2) manifold optimization (2) convolutional neural network (2) semi-supervised learning (2) metric learning (2) dimensionality reduction (2) neural network training (2) novelty detection (2) image classification (2) active learning (2) object recognition (2) stochastic gradient descent (2) latent dirichlet allocation (2) matrix factorization (2) low-rank matrix (2)

Papers

On Local Overfitting and Forgetting in Deep Neural Networks AAAI 2025
United We Stand: Using Epoch-Wise Agreement of Ensembles to Combat Overfit AAAI 2024
How to Select Which Active Learning Strategy is Best Suited for Your Specific Problem and Budget NIPS 2023
The Grammar-Learning Trajectories of Neural Language Models ACL 2022
Active Learning Through a Covering Lens NIPS 2022
Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets ICML 2022
Principal Components Bias in Over-parameterized Linear Models, and its Manifestation in Deep Neural Networks JMLR 2022
Theory of Curriculum Learning, with Convex Loss Functions JMLR 2020
Let’s Agree to Agree: Neural Networks Share Classification Order on Real Datasets ICML 2020
On The Power of Curriculum Learning in Training Deep Networks ICML 2019
Coming to Your Senses: on Controls and Evaluation Sets in Polysemy Research EMNLP 2018
Curriculum Learning by Transfer Learning: Theory and Experiments with Deep Networks ICML 2018
Outta Control: Laws of Semantic Change and Inherent Biases in Word Representation Models EMNLP 2017
Hidden Layers in Perceptual Learning CVPR 2017
Modeling Musical Influence with Topic Models ICML 2013
Hierarchical Regularization Cascade for Joint Learning ICML 2013
LDA Topic Model with Soft Assignment of Descriptors to Words ICML 2013
Online Learning in the Embedded Manifold of Low-rank Matrices JMLR 2012
Online Learning in The Manifold of Low-Rank Matrices NIPS 2010
Beyond Novelty Detection: Incongruent Events, when General and Specific Classifiers Disagree NIPS 2008
Subordinate class recognition using relational object models NIPS 2006
Learning a Mahalanobis Metric from Equivalence Constraints JMLR 2005