Guy Hacohen

Orcid: 0009-0001-1423-2318

According to our database1, Guy Hacohen authored at least 12 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Forgetting Order of Continual Learning: Examples That are Learned First are Forgotten Last.
CoRR, 2024

2023
Semi-Supervised Learning in the Few-Shot Zero-Shot Scenario.
CoRR, 2023

Pruning the Unlabeled Data to Improve Semi-Supervised Learning.
CoRR, 2023

How to Select Which Active Learning Strategy is Best Suited for Your Specific Problem and Budget.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Principal Components Bias in Over-parameterized Linear Models, and its Manifestation in Deep Neural Networks.
J. Mach. Learn. Res., 2022

Active Learning Through a Covering Lens.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets.
Proceedings of the International Conference on Machine Learning, 2022

The Grammar-Learning Trajectories of Neural Language Models.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Convergence Analysis of Over-parameterized Deep Linear Networks, and the Principal Components Bias.
CoRR, 2021

2020
Let's Agree to Agree: Neural Networks Share Classification Order on Real Datasets.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
All Neural Networks are Created Equal.
CoRR, 2019

On The Power of Curriculum Learning in Training Deep Networks.
Proceedings of the 36th International Conference on Machine Learning, 2019


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