| An autonomous debating system N Slonim, Y Bilu, C Alzate, R Bar-Haim, B Bogin, F Bonin, L Choshen, ... Nature 591 (7850), 379-384, 2021 | 188 | 2021 |
| A large-scale dataset for argument quality ranking: Construction and analysis S Gretz, R Friedman, E Cohen-Karlik, A Toledo, D Lahav, R Aharonov, ... Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 7805-7813, 2020 | 118 | 2020 |
| Automatic argument quality assessment--new datasets and methods A Toledo, S Gretz, E Cohen-Karlik, R Friedman, E Venezian, D Lahav, ... arXiv preprint arXiv:1909.01007, 2019 | 83 | 2019 |
| Learning to combine grammatical error corrections Y Kantor, Y Katz, L Choshen, E Cohen-Karlik, N Liberman, A Toledo, ... arXiv preprint arXiv:1906.03897, 2019 | 39 | 2019 |
| The workweek is the best time to start a family–a study of GPT-2 based claim generation S Gretz, Y Bilu, E Cohen-Karlik, N Slonim Findings of the Association for Computational Linguistics: EMNLP 2020, 528-544, 2020 | 27 | 2020 |
| Regularizing towards permutation invariance in recurrent models E Cohen-Karlik, A Ben David, A Globerson Advances in Neural Information Processing Systems 33, 18364-18374, 2020 | 13 | 2020 |
| Quantification of osteoclasts in culture, powered by machine learning E Cohen-Karlik, Z Awida, A Bergman, S Eshed, O Nestor, M Kadashev, ... Frontiers in Cell and Developmental Biology 9, 674710, 2021 | 9 | 2021 |
| Brief announcement: Object oriented consensus Y Afek, J Aspnes, E Cohen, D Vainstein Proceedings of the ACM Symposium on Principles of Distributed Computing, 367-369, 2017 | 4 | 2017 |
| On the implicit bias of gradient descent for temporal extrapolation E Cohen-Karlik, AB David, N Cohen, A Globerson International Conference on Artificial Intelligence and Statistics, 10966-10981, 2022 | 3 | 2022 |
| Learning Low Dimensional State Spaces with Overparameterized Recurrent Neural Nets E Cohen-Karlik, I Menuhin-Gruman, R Giryes, N Cohen, A Globerson arXiv preprint arXiv:2210.14064, 2022 | 2 | 2022 |
| Automated detection of reasoning in arguments A Gretz, E Cohen-Karlik, N Slonim, A Toledo US Patent 11,651,161, 2023 | 1 | 2023 |
| Object oriented consensus Y Afek, J Aspnes, E Cohen, D Vainstein preparation, February, 2017 | 1 | 2017 |
| Implicit Bias of Policy Gradient in Linear Quadratic Control: Extrapolation to Unseen Initial States N Razin, Y Alexander, E Cohen-Karlik, R Giryes, A Globerson, N Cohen arXiv preprint arXiv:2402.07875, 2024 | | 2024 |
| Overcoming Order in Autoregressive Graph Generation E Cohen-Karlik, E Rozenberg, D Freedman arXiv preprint arXiv:2402.03387, 2024 | | 2024 |
| Order Agnostic Autoregressive Graph Generation E Cohen-Karlik, E Rozenberg, D Freedman NeurIPS 2023 Workshop: New Frontiers in Graph Learning, 2023 | | 2023 |
| Learning Low Dimensional State Spaces with Overparameterized Recurrent Neural Network A Globerson, E Cohen-Karlik, I Menuhin-Gruman, N Cohen, R Giryes | | 2023 |
| Learning Low Dimensional State Spaces with Overparameterized Recurrent Neural Network. E Cohen-Karlik, I Menuhin-Gruman, N Cohen, R Giryes, A Globerson CoRR, 2022 | | 2022 |
| Learning RNNs with Commutative State Transitions E Cohen-Karlik, A Globerson | | 2019 |
| Supplementary Information for “Regularizing Towards Permutation Invariance in Recurrent Models” E Cohen-Karlik, AB David, A Globerson | | |
