On The Power of Curriculum Learning in Training Deep Networks. - Guy Hacohen; Daphna Weinshall (ICML, 2019)

All Neural Networks are Created Equal. - Guy Hacohen; Daphna Weinshall (CoRR, 2019)

Let's Agree to Agree: Neural Networks Share Classification Order on Real Datasets. - Guy Hacohen; Leshem Choshen; Daphna Weinshall (ICML, 2020)

Convergence Analysis of Over-parameterized Deep Linear Networks, and the Principal Components Bias. - Guy Hacohen; Daphna Weinshall (CoRR, 2021)

The Grammar-Learning Trajectories of Neural Language Models. - Leshem Choshen; Guy Hacohen; Daphna Weinshall; Omri Abend (ACL (1), 2022)

Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets. - Guy Hacohen; Avihu Dekel; Daphna Weinshall (ICML, 2022)

Active Learning Through a Covering Lens. - Ofer Yehuda; Avihu Dekel; Guy Hacohen; Daphna Weinshall (NeurIPS, 2022)

Principal Components Bias in Over-parameterized Linear Models, and its Manifestation in Deep Neural Networks. - Guy Hacohen; Daphna Weinshall (J. Mach. Learn. Res., 2022)

How to Select Which Active Learning Strategy is Best Suited for Your Specific Problem and Budget. - Guy Hacohen; Daphna Weinshall (NeurIPS, 2023)

Pruning the Unlabeled Data to Improve Semi-Supervised Learning. - Guy Hacohen; Daphna Weinshall (CoRR, 2023)

Semi-Supervised Learning in the Few-Shot Zero-Shot Scenario. - Noam Fluss; Guy Hacohen; Daphna Weinshall (CoRR, 2023)

Forgetting Order of Continual Learning: Examples That are Learned First are Forgotten Last. - Guy Hacohen; Tinne Tuytelaars (CoRR, 2024)

Same accuracy, twice as fast: continuous training surpasses retraining from scratch. - Eli Verwimp; Guy Hacohen; Tinne Tuytelaars (CoRR, 2025)

Active Learning with a Noisy Annotator. - Netta Shafir; Guy Hacohen; Daphna Weinshall (CoRR, 2025)