Daphna Weinshall

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

Achievements

+10 more ↓

🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🗺️ Taxonomy Completionist (13) 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (7)

🏃 Academic Marathon (20) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌟 Keyword Trendsetter Combo (5) 🏆 Keyword Champion 🌱 Topic Pioneer 💎 Century Club (22) 📈 Trend Setter 🚀 Conference Pioneer 🗃️ 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