| Unsupervised learning of video representations using lstms N Srivastava, E Mansimov, R Salakhudinov International Conference on Machine Learning (ICML), 843-852, 2015 | 2922 | 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 | 733 | 2017 |
| Generating Images from Captions with Attention E Mansimov, E Parisotto, JL Ba, R Salakhutdinov International Conference on Learning Representations (ICLR), 2015 | 433 | 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 | 387 | 2018 |
| Molecular geometry prediction using a deep generative graph neural network E Mansimov, O Mahmood, S Kang, K Cho Scientific reports, 2019 | 128 | 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 | 97 | 2021 |
| Masked graph modeling for molecule generation O Mahmood, E Mansimov, R Bonneau, K Cho Nature Communications 12 (1), 1-12, 2021 | 54 | 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 | 41 | 2019 |
| Initialization strategies of spatio-temporal convolutional neural networks E Mansimov, N Srivastava, R Salakhutdinov arXiv preprint arXiv:1503.07274, 2015 | 41 | 2015 |
| 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 | 24 | 2022 |
| 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 | 12 | 2020 |
| 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 | 12 | 2020 |
| Semantic Parsing in Task-Oriented Dialog with Recursive Insertion-based Encoder E Mansimov, Y Zhang AAAI 2022, 2021 | 11 | 2021 |
| Simple Nearest Neighbor Policy Method for Continuous Control Tasks E Mansimov, K Cho Deep Reinforcement Learning Symposium, NIPS 2017, 2018 | 7 | 2018 |
| Conversation Style Transfer using Few-Shot Learning S Roy, R Shu, N Pappas, E Mansimov, Y Zhang, S Mansour, D Roth arXiv preprint arXiv:2302.08362, 2023 | 2 | 2023 |
| Improving Prediction Backward-Compatiblility in NLP Model Upgrade with Gated Fusion YA Lai, E Mansimov, Y Xie, Y Zhang arXiv preprint arXiv:2302.02080, 2023 | 1 | 2023 |
| Backward compatibility during data updates by weight interpolation R Schumann, E Mansimov, YA Lai, N Pappas, X Gao, Y Zhang arXiv preprint arXiv:2301.10546, 2023 | 1 | 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 | 1 | 2022 |
| 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 | 1 | 2022 |
| 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, ... arXiv preprint arXiv:2305.14827, 2023 | | 2023 |
Ruslan SalakhutdinovUPMC Professor, Machine Learning Department, CMUVerified email at cs.cmu.edu
