Noam Razin

According to our database, Noam Razin authored at least 13 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Lecture Notes on Linear Neural Networks: A Tale of Optimization and Generalization in Deep Learning.

Nadav Cohen, Noam Razin

CoRR, 2024

Understanding Deep Learning via Notions of Rank.

Noam Razin

CoRR, 2024

Implicit Bias of Policy Gradient in Linear Quadratic Control: Extrapolation to Unseen Initial States.

Noam Razin, Yotam Alexander, Edo Cohen-Karlik, Raja Giryes, Amir Globerson, Nadav Cohen

Proceedings of the Forty-first International Conference on Machine Learning, 2024

What Algorithms can Transformers Learn? A Study in Length Generalization.

Hattie Zhou, Arwen Bradley, Etai Littwin, Noam Razin, Omid Saremi, Joshua M. Susskind, Samy Bengio, Preetum Nakkiran

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Vanishing Gradients in Reinforcement Finetuning of Language Models.

Noam Razin, Hattie Zhou, Omid Saremi, Vimal Thilak, Arwen Bradley, Preetum Nakkiran, Joshua M. Susskind, Etai Littwin

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

On the Ability of Graph Neural Networks to Model Interactions Between Vertices.

Noam Razin, Tom Verbin, Nadav Cohen

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

What Makes Data Suitable for a Locally Connected Neural Network? A Necessary and Sufficient Condition Based on Quantum Entanglement.

Yotam Alexander, Nimrod De La Vega, Noam Razin, Nadav Cohen

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Implicit Regularization in Hierarchical Tensor Factorization and Deep Convolutional Neural Networks.

Noam Razin, Asaf Maman, Nadav Cohen

Proceedings of the International Conference on Machine Learning, 2022

2021

Implicit Regularization in Tensor Factorization.

Noam Razin, Asaf Maman, Nadav Cohen

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

RecoBERT: A Catalog Language Model for Text-Based Recommendations.

Itzik Malkiel, Oren Barkan, Avi Caciularu, Noam Razin, Ori Katz, Noam Koenigstein

CoRR, 2020

Implicit Regularization in Deep Learning May Not Be Explainable by Norms.

Noam Razin, Nadav Cohen

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Optimizing BERT for Unlabeled Text-Based Items Similarity.

Itzik Malkiel, Oren Barkan, Avi Caciularu, Noam Razin, Ori Katz, Noam Koenigstein

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Scalable Attentive Sentence Pair Modeling via Distilled Sentence Embedding.

Oren Barkan, Noam Razin, Itzik Malkiel, Ori Katz, Avi Caciularu, Noam Koenigstein

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020