Guy Hacohen
8 papers · 2019–2025 · 4 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(19)
Venues
Top co-authors
Research topics
Machine Learning
(8)
Deep Learning
(6)
Architectures
(3)
Core Methods
(3)
Learning Types · Machine Learning
(3)
Optimization & Theory · Machine Learning
(3)
Artificial Intelligence
(2)
Core AI
(2)
Techniques
(2)
Interdisciplinary
(1)
Natural Language Processing
(1)
Generation
(1)
Learning Types · Deep Learning
(1)
Linguistics
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
active learning
(2)
deep neural network
(2)
neural network training
(2)
semi-supervised learning
(2)
representation learning
(2)
principal components analysis
(1)
budgeted learning
(1)
self-supervised learning
(1)
curriculum learning
(1)
grammar learning
(1)
catastrophic forgetting
(1)
principal component analysis
(1)
phase transition
(1)
subset selection
(1)
transfer learning
(1)
continual learning
(1)
inductive bia
(1)
language model
(1)
annotation cost
(1)
image classification
(1)
Papers
Predicting the Susceptibility of Examples to Catastrophic Forgetting
ICML 2025
How to Select Which Active Learning Strategy is Best Suited for Your Specific Problem and Budget
NeurIPS 2023
Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets
ICML 2022
Active Learning Through a Covering Lens
NeurIPS 2022
Principal Components Bias in Over-parameterized Linear Models, and its Manifestation in Deep Neural Networks
JMLR 2022
The Grammar-Learning Trajectories of Neural Language Models
ACL 2022
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