| Implicit Regularization in Deep Learning May Not Be Explainable by Norms N Razin, N Cohen Advances in Neural Information Processing Systems 34 (NeurIPS), 2020 | 126 | 2020 |
| Implicit Regularization in Tensor Factorization N Razin, A Maman, N Cohen Proceedings of the 38th International Conference on Machine Learning (ICML), 2021 | 36 | 2021 |
| Scalable Attentive Sentence-Pair Modeling via Distilled Sentence Embedding O Barkan, N Razin, I Malkiel, O Katz, A Caciularu, N Koenigstein The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), 2019 | 35 | 2019 |
| Implicit Regularization in Hierarchical Tensor Factorization and Deep Convolutional Neural Networks N Razin, A Maman, N Cohen Proceedings of the 39th International Conference on Machine Learning (ICML), 2022 | 20 | 2022 |
| RecoBERT: A Catalog Language Model for Text-Based Recommendations I Malkiel, O Barkan, A Caciularu, N Razin, O Katz, N Koenigstein Findings of the Association for Computational Linguistics: EMNLP, 2020 | 20 | 2020 |
| Sentence similarity scoring using neural network distillation O Barkan, N Razin, N Koenigstein US Patent App. 16/789,385, 2021 | 5 | 2021 |
| What algorithms can transformers learn? a study in length generalization H Zhou, A Bradley, E Littwin, N Razin, O Saremi, J Susskind, S Bengio, ... arXiv preprint arXiv:2310.16028, 2023 | 3 | 2023 |
| On the Ability of Graph Neural Networks to Model Interactions Between Vertices N Razin, T Verbin, N Cohen Advances in Neural Information Processing Systems 37 (NeurIPS), 2022 | 2 | 2022 |
| Machine learning multiple features of depicted item O Barkan, N Razin, N Koenigstein, R Hirsch, N Nice US Patent 11,373,095, 2022 | 2 | 2022 |
| Searching using changed feature of viewed item O Barkan, N Razin, R Hirsch, N Koenigstein, N Nice US Patent App. 16/725,461, 2021 | 1 | 2021 |
| Vanishing Gradients in Reinforcement Finetuning of Language Models N Razin, H Zhou, O Saremi, V Thilak, A Bradley, P Nakkiran, J Susskind, ... arXiv preprint arXiv:2310.20703, 2023 | | 2023 |
| What Makes Data Suitable for a Locally Connected Neural Network? A Necessary and Sufficient Condition Based on Quantum Entanglement Y Alexander, N De La Vega, N Razin, N Cohen Advances in Neural Information Processing Systems 37 (NeurIPS), 2023 | | 2023 |
Nadav CohenAsst. Professor of Computer Science, Tel Aviv University | Co-Founder & Chief Scientist, ImubitVerified email at tauex.tau.ac.il
