Elman Mansimov

According to our database1, Elman Mansimov authored at least 21 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Bootstrapping LLM-based Task-Oriented Dialogue Agents via Self-Talk.
CoRR, 2024

Backward Compatibility During Data Updates by Weight Interpolation.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023
Conversation Style Transfer using Few-Shot Learning.
Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023

Pre-training Intent-Aware Encoders for Zero- and Few-Shot Intent Classification.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Improving Prediction Backward-Compatiblility in NLP Model Upgrade with Gated Fusion.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

2022
Dialog2API: Task-Oriented Dialogue with API Description and Example Programs.
CoRR, 2022

Measuring and Reducing Model Update Regression in Structured Prediction for NLP.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Multi-Task Pre-Training for Plug-and-Play Task-Oriented Dialogue System.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Label Semantic Aware Pre-training for Few-shot Text Classification.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Semantic Parsing in Task-Oriented Dialog with Recursive Insertion-Based Encoder.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Neural Structured Prediction using Iterative Refinement with Applications to Text and Molecule Generation.
PhD thesis, 2021

2020
Towards End-to-End In-Image Neural Machine Translation.
CoRR, 2020

Capturing document context inside sentence-level neural machine translation models with self-training.
CoRR, 2020

2019
A Generalized Framework of Sequence Generation with Application to Undirected Sequence Models.
CoRR, 2019

Molecular geometry prediction using a deep generative graph neural network.
CoRR, 2019

2018
Deterministic Non-Autoregressive Neural Sequence Modeling by Iterative Refinement.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017
Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Finger tracking: facilitating non-commercial content production for mobile e-reading applications.
Proceedings of the 19th International Conference on Human-Computer Interaction with Mobile Devices and Services, 2017

2016
Generating Images from Captions with Attention.
Proceedings of the 4th International Conference on Learning Representations, 2016

2015
Initialization Strategies of Spatio-Temporal Convolutional Neural Networks.
CoRR, 2015

Unsupervised Learning of Video Representations using LSTMs.
Proceedings of the 32nd International Conference on Machine Learning, 2015


  Loading...