| Unsupervised learning of video representations using lstms N Srivastava, E Mansimov, R Salakhudinov International Conference on Machine Learning (ICML), 843-852, 2015 | 3400 | 2015 |
| Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation Y Wu, E Mansimov, S Liao, R Grosse, J Ba Advances in Neural Information Processing Systems, 5283-5292, 2017, 2017 | 868 | 2017 |
| Generating Images from Captions with Attention E Mansimov, E Parisotto, JL Ba, R Salakhutdinov International Conference on Learning Representations (ICLR), 2015 | 587 | 2015 |
| Deterministic Non-Autoregressive Neural Sequence Modeling by Iterative Refinement J Lee, E Mansimov, K Cho Empirical Methods in Natural Language Processing (EMNLP), 2018, 2018 | 460 | 2018 |
| Molecular geometry prediction using a deep generative graph neural network E Mansimov, O Mahmood, S Kang, K Cho Scientific reports, 2019 | 216 | 2019 |
| Multi-Task Pre-Training for Plug-and-Play Task-Oriented Dialogue System Y Su, L Shu, E Mansimov, A Gupta, D Cai, YA Lai, Y Zhang ACL 2022, 2021 | 188 | 2021 |
| Masked graph modeling for molecule generation O Mahmood, E Mansimov, R Bonneau, K Cho Nature communications 12 (1), 3156, 2021 | 100 | 2021 |
| A generalized framework of sequence generation with application to undirected sequence models E Mansimov, A Wang, S Welleck, K Cho arXiv preprint arXiv:1905.12790, 2019 | 47 | 2019 |
| Label Semantic Aware Pre-training for Few-shot Text Classification A Mueller, J Krone, S Romeo, S Mansour, E Mansimov, Y Zhang, D Roth ACL 2022, 2022 | 45 | 2022 |
| Initialization strategies of spatio-temporal convolutional neural networks E Mansimov, N Srivastava, R Salakhutdinov arXiv preprint arXiv:1503.07274, 2015 | 45 | 2015 |
| Towards End-to-End In-Image Neural Machine Translation E Mansimov, M Stern, M Chen, O Firat, J Uszkoreit, P Jain NLP Beyond Text workshop, EMNLP 2020, 2020 | 29 | 2020 |
| Bootstrapping llm-based task-oriented dialogue agents via self-talk D Ulmer, E Mansimov, K Lin, J Sun, X Gao, Y Zhang ACL 2024 Findings, 2024 | 19 | 2024 |
| Semantic Parsing in Task-Oriented Dialog with Recursive Insertion-based Encoder E Mansimov, Y Zhang AAAI 2022, 2021 | 17 | 2021 |
| Capturing document context inside sentence-level neural machine translation models with self-training E Mansimov, G Melis, L Yu CODI (Workshop on Computational Approaches to Discourse), EMNLP 2021, 2020 | 17 | 2020 |
| Measuring and Reducing Model Update Regression in Structured Prediction for NLP D Cai, E Mansimov, YA Lai, Y Su, L Shu, Y Zhang NeurIPS 2022, 2022 | 10 | 2022 |
| Simple Nearest Neighbor Policy Method for Continuous Control Tasks E Mansimov, K Cho Deep Reinforcement Learning Symposium, NIPS 2017, 2018 | 8 | 2018 |
| Pre-training intent-aware encoders for zero-and few-shot intent classification M Sung, J Gung, E Mansimov, N Pappas, R Shu, S Romeo, Y Zhang, ... EMNLP 2023, 2023 | 7 | 2023 |
| Conversation style transfer using few-shot learning S Roy, R Shu, N Pappas, E Mansimov, Y Zhang, S Mansour, D Roth AACL 2023, 2023 | 7 | 2023 |
| Dialog2api: Task-oriented dialogue with api description and example programs R Shu, E Mansimov, T Alkhouli, N Pappas, S Romeo, A Gupta, S Mansour, ... arXiv preprint arXiv:2212.09946, 2022 | 6 | 2022 |
| Backward compatibility during data updates by weight interpolation R Schumann, E Mansimov, YA Lai, N Pappas, X Gao, Y Zhang EACL 2024, 2023 | 4 | 2023 |
Ruslan SalakhutdinovUPMC Professor, Machine Learning Department, CMU確認したメール アドレス: cs.cmu.edu
